Sales Intelligence™ Report
Infosys BigDataEdge™
“Everything about Customers”.
14th January 2014
Sales Intelligence™ Report
Infosys BigDataEdge™
“Everything about Customers”.
TABLE OF CONTENTS
Infosys BigDataEdge™ - Introduction ......................................................................4
About Infosys BigDataEdge™ ..................................................................................................... 4
Infosys BigDataEdge™ - Features .............................................................................................. 4
Infosys BigDataEdge™ - Outcomes ............................................................................................ 5
Infosys BigDataEdge – Key capabilities .................................................................................... 6
Infosys Big Data™ Product Development, since March 2012 ................................................... 7
Leveraging Value from Infosys BigDataEdge™ ......................................................................... 8
About Infosys BigDataEdge™ Team, Methods and Solutions ................................................... 9
Infosys BigDataEdge™ - Business Strategy ............................................................9
Infosys present Business Strategy using BigDataEdge™ .......................................................... 9
Business Strategy / Actions performed by Infosys Executives with BigDataEdge™ .............. 10
Infosys Big Data Framework ................................................................................................... 11
Infosys BigDataEdge™ Adoption Enablers .............................................................................. 11
Infosys BigDataEdge™ Architecture ........................................................................................ 12
Infosys Capabilities................................................................................................................... 12
Infosys SocialEdge – Big Data Analytics Platform .................................................................. 13
Infosys Corporate Level Strategies .......................................................................................... 13
Infosys BigDataEdge™ - Technology Partner ..................................................... 14
Infosys BigDataEdge + Oracle ................................................................................................. 14
Infosys BigDataEdge™ + Oracle Technology Model (as of December 2013) ......................... 15
Infosys BigData™ Global Landscape ...................................................................... 16
Infosys Cloud & Big Data™ IT Infrastructure Management ................................................... 17
Infosys BigDataEdge™: Big Data projects executed in ‘Information Management CoE’ in
Infosys labs located in Quincy, MA 02169, USA ....................................................................... 18
Infosys’ Hadoop Roadmap started since February 2011 ........................................................ 20
Infosys BigDataEdge™ in Banking and Finance vertical using Big Data and NoSQL
technologies.............................................................................................................................. 20
Infosys BigDataEdge™ Key Projects from CA, USA ................................................................. 20
Infosys BigDataEdge™ and CRM Analytics projects served since 2012, from Infosys office
located in Plano, Texas, USA .................................................................................................... 22
Infosys BigDataEdge™ use Microsoft’s internal Big Data Analysis platform called Cosmos in
Log Retention Service............................................................................................................... 22
Infosys BigDataEdge™ use Oracle Exadata in CA, USA ........................................................... 23
Infosys BigDataEdge™ - Digital Marketing Strategy .............................................................. 24
Infosys BigDataEdge™ - Internal training program on Big Data is called ‘Infosys at the
Cutting Edge’ ............................................................................................................................ 24
Infosys BigDataEdge™ - Customer Intelligence ................................................ 25
Partial list of customers using Infosys BigDataEdge™ ........................................................... 25
1 - Infosys BigDataEdge™ serves Wells Fargo Bank, USA using MongoDB in ‘FOREX Position
Risk Management Application................................................................................................. 27
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Sales Intelligence™ Report
Infosys BigDataEdge™
“Everything about Customers”.
2 - Infosys Technologies Ltd serves Bank of America (BOA) using BigDataEdge™ ............... 35
3 - Infosys BigDataEdge™ serves American Express (AMEX) ................................................. 37
4 - Infosys BigDataEdge™ serves SunTrust Banks Inc ............................................................ 38
5 - Infosys Technologies Ltd serves Apple Inc using BigDataEdge™ ...................................... 39
6 - Infosys BigDataEdge™ product is used in T-Mobile’s Big Data - Web Analytics .............. 43
7 - Infosys BigDataEdge™ product is used in GAP Inc for ‘Mainframe Re-hosting Program’ 44
8 - Infosys BigDataEdge™ - Strategic Insights Practice of Campaign Analytics for Ally
Financial, Ally Bank ................................................................................................................. 45
9 - Infosys serves Sears Holdings Corporation using IBM Infosphere DataStage 8.0.1 and
preparing PoC using Infosys BigDataEdge™ ........................................................................... 46
10 – Infosys BigDataEdge™ serves Deutsche Bank using ‘Data Analysis Application’ .......... 47
11 - Infosys performs ‘Investor Portfolio Analysis’ and ‘NAV Prediction of omnibus funds’ for
DBS Bank Ltd ............................................................................................................................ 47
12 - Infosys serves its customers using Weblog Analytics ...................................................... 48
13 - Infosys BigDataEdge™ - Strategic Insights Practice of Web Analytics for a Legal
Services Customer .................................................................................................................... 48
14 - Infosys BigData™ serves its customers from its Infosys Office in CA, USA in “Foreign
Exchange Risk Management Banking Domain ....................................................................... 49
15 - Infosys BigDataEdge™ serves its customers in ‘Mortgage and Online Credit
Applications’ ............................................................................................................................. 50
Infosys BigdataEdge™ – Global Services IT Outsourcing Intelligence..... 51
Infosys BigDataEdge™ serves Fidelity Investments Company in project ‘Sentiment Analysis’
................................................................................................................................................... 51
Infosys BigDataEdge™ serves Walmart Stores using largest ‘Online Transformation
Program’ ................................................................................................................................... 58
Infosys BigDataEdge™ - Cloud Computing COE ...................................................................... 59
Infosys BigDataEdge™ serves UL by performing Test Report Analysis .................................. 59
Infosys BigDataEdge™ serves AMP, USA by performing Customer Churn Analysis .............. 60
Infosys BigDataEdge™ serves T-Mobile in project ‘T-Mobile Big Data Analytics’ ................. 60
Infosys BigDataEdge™ serves Australian Bank using ‘Online Transformation Program’ .... 61
Infosys BigDataEdge™ - India Operations ........................................................... 61
Infosys BigDataEdge™ - Cloud and Big Data Practices from Pune, India .............................. 61
Quick facts ................................................................................................................................ 64
Contact Details ......................................................................................................................... 65
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Sales Intelligence™ Report
Infosys BigDataEdge™
“Everything about Customers”.
Infosys BigDataEdge™ - Introduction
About Infosys BigDataEdge™

Infosys BigDataEdge™ focuses on enabling the enterprise to device in-sights by
augmenting the in-house structured trusted data with un-structured data within and
outside the enterprise in a real time. Infosys BigDataEdge™ enables enterprise to adopt
Big Data Technologies seamlessly by providing them the benefits of standardization,
Re-use, Accelerators and Framework to realize their Big Data Journey at 1/6th the Cost
and with 8 times faster time to market.

BigDataEdge™ provides a GUI approach to Cloud Computing. The data from internal
sources (Example: local data from desktop) and external sources (Example: Facebook,
Twitter, LinkedIn, Salesforce, etc) can be loaded to cloud cluster using its GUI interface
after applying particular algorithms to it.

BigDataEdge™ product enables user to execute a large number of algorithms in Hive,
Cassandra, Mongodb, HDFS etc with simple drag and drop option and also creates
visualization based on the result.
Infosys BigDataEdge™ - Features

Metadata driven Pre-built Adapters for Data ingestion from various sources

Discover data using auto-clustering, ad-hoc query, search, entity extraction,
relationship-mining

Pre-built components for Stream Processing & Real Time Analytics

Pre-built transformers for data transforming and cleaning

Record Linkage, De-duplication components for data enrichment

Comprehensive & easy to use Analytical & Machine Learning algorithms support

Seamless Integration of Analytics Tools like R with Hadoop

Graphical easy to use User Interface with drag and drop features for configuring data
pipelines

Industry leading Visualization techniques for deep insights

Collaboration platform for collective decision making

Integration with Enterprise systems for Real-Time Decision making
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
Insight Governance and Management

One-Click Cloud Deployment - Seamless Analytical Cluster Setup, Configuration and Full
Featured Hub Management
Infosys BigDataEdge™ - Outcomes
Discover

Batch Data Adapters

Event Stream Adapters

Search

Entity extraction

Ad-Hoc Query

Auto clustering
Process

Generic Transformers

Data Cleansing

Data Masking

Content Extractions

Change Capture

Unique ID
Analyze

Text Analytics

Clustering

Pattern Matching

Classification

Recommendations

Time Series Analysis

Regression Analysis
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Sales Intelligence™ Report
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“Everything about Customers”.
Visualize

Normal Visualizations

Cluster Visualizations

Geospatial Graphs

Drill Down

Collaboration
Institutionalize

Send Alert Adapter

Integrate with

Enterprise Workflow system

Send Emails Adapter

Integration Adapters with Enterprise systems
Infosys BigDataEdge – Key capabilities
Discover and Aggregate

Real-time data discovery
o 50 out-of-the-box connectors

Extensible connector framework
o Rapid addition of new information sources
o Automates 80% of connector functions

Transformation builder
o Visual approach to build transformations
o 70 reusable components
Process:

Meta-data based Virtual Data Source
o Process at the source
o Reduce Infrastructure cost by 30%
Analyze:

Insight Builder
o 250 pre-built algorithms
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o Drag and drop visual interface
o Empower business analysts to build insights
Visualize

Insight Builder
o 50 ready-to-use visualization options
o Traceability of insights
o Executive dashboard
o Smart device access
Operationalize

Collaboration Wall
o Cross-functional collaboration
o Real-time decisions

Enterprise workflow
o Influence systems using pre-built connectors
Uniqueness of Infosys BigDataEdge™:

Agility: Actionable intelligence from new data in hours

Speed: Expedite your processing deployment across all data types by 10X or more

Business Value: Monetize your data through applied insights
Infosys Big Data™ Product Development, since March 2012
Technology Modules in Infosys Big Data™ Product
1. Metadata driven Ingestion Framework
2. Metadata Management
3. Dynamic Validation Framework
4. Big Data Processing Accelerators
5. Machine Learning Processing Toolkits
6. Search and Indexing on Big Data
7. Text Analysis (including Identity Resolution)
8. On Demand Analysis and Dynamic Visualization Framework
9. Information Service Framework
10. Real-Time Analytics Framework
11. Automated Cluster Deployment
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“Everything about Customers”.
JDK / JRE – 1.6
Cloudera
Hadoop 3.0
Map
Reduce
R
RHIPE
RHBASE
AVRO
Hive 3.0
Pig
Eclipse
JSON formats
XML Output
Formats
HDFS
Oozie
RMR
RHDFS
SQL
Tableau

Infosys creates Ingestion, Transformation Components on BigDataEdge and developed
MapReduce programs for various Input formats and algorithms.

Infosys created various components using Map Reduce, Avro, Hive, Oozie and the
analytics using R, R integration with Hadoop like RHDFS, RMR, RHipe and also set-up
RStudio Server on Hadoop Cluster.

Infosys created a single stop solution for all Big Data related requirements which is 8x
faster.

Infosys use Tableau for dynamic generation of graphs over JQuery that resulted in
sizable time-cost benefits
Leveraging Value from Infosys BigDataEdge™

Integrate data silos across the research organization to allow scientists easy access to
the wealth of information available
o Also the ability to capture and ingest data from multiple structured and
unstructured data sources

Develop and place flexible and broad high throughput analytical layers on the
integrated data sets to mine the information
o Continue to allow the researchers the flexibility of choosing a broad array of
analytical tools that fit their research needs
o Advanced near real time analytics over Big Data combining structured and
unstructured data
o Ability to process data on cloud architecture and cloud platforms

Develop scalable and flexible infrastructure to support the increasing computing needs.
o Bioinformatics increasingly needs Tera-Scale computing in the areas of drug
discovery and drug repurposing.
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Sales Intelligence™ Report
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About Infosys BigDataEdge™ Team, Methods and Solutions
Talent:

Number of Consultants: 8000+

Number of Visualization Experts: 100+

Data Scientists: 500+
Methodologies:

Value Realization Method™

IMPACT™

Questions To Actions
Infosys Solutions:
[BigDataEdge™ + TradeEdge™ + InteractEdge + FINACLE™ + Infosys Labs + Technology
COE’s + Alliances]
Infosys BigDataEdge™ - Business
Strategy
Infosys present Business Strategy using BigDataEdge™
Infosys is deriving business value using BigDataEdge™ and performing business and
technology transformation by leveraging BigDataEdge™.
[Thoughts + Devices + Processes = BigDataEdge™]
Big Data Value: Change the Business (Use Data) -> Run the Business (Produce Data)
1. Run the Business by organizing Data to do something specific (Produce Data)
2. Change the Business by taking Data As-Is to figure out what it can do (Use Data)
Infosys BigDataEdge™ - Success Strategy

Infosys BigDataEdge™ Data Architecture is saving over $250 Million for an enterprise
customer in Retail business

Infosys adopts State of the art architecture for Real-Time actionable insights, for its
customers

Infosys is helping its major retailing customer to get price competitive online
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“Everything about Customers”.
Business Strategy / Actions performed by Infosys Executives with
BigDataEdge™

During past 10 months, Infosys has perfectly marketed its BigDataEdge™ to all its
customers. Infosys customers in BFSI have asked for PoC (Proof of Concept).
o Priority 1: Currently, as of December 2013, Infosys is working on PoC (Proof of
Concept) for all its existing customers in Banking and Finance vertical.
o Priority 2: Infosys is focusing on close related ‘Competitors’ of existing
Customers for whom the BigDataEdge™ is implemented during 2013
o Priority 3: Infosys is performing extensive research on Enterprise customers
who are making Big Data Initiatives and are willing to use BigDataEdge™ during
2014.
o Priority 4: Infosys is identifying Enterprise customers who are setting up CoE,
Research labs, Innovation Centers, etc.

Infosys is developing customized unique Big Data Strategy for each and every customer
in Banking and Finance sector.

Infosys is establishing and managing Big Data implementation for its customers using
BigDataEdge™

Infosys is designing solutions based on a mix of Big Data and NoSQL technologies Hadoop, Vertica, MongoDb etc., for its customers in Banking and Finance vertical.

Infosys BigDataEdge™ performs “Knowledge Based Solution”
implementation for Failure Analysis organization to its customers.
in
Big
Data
How Infosys BigDataEdge™ achieved during 2013 and how it took advantage with
Analytics-As-A-Service:

During 2013, Infosys has taken advantage of customer’s non-expertise and timelessness
to implement a large-scale big data strategy in-house.

Customer’s lack of investments, timelessness, cost overruns, lost opportunities and
failure risks have been taken advantage by Infosys BigDataEdge™ practice.

During 2013, customers couldn’t realize business benefits of the entire project using Big
Data.
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
“Everything about Customers”.
During 2013, customers couldn’t partner with expert IT Vendor with expertise in Big
Data analytics projects; or IT vendors who could take risks, low costs and timely big
data implementation.
Infosys Big Data Framework
Infosys BigDataEdge™ Adoption Enablers
I.
II.
III.
IV.
Accelerator – Solution & Expertise
Services – Extreme Data
Product – Voice of Customer Analytics
Platform – Social Edge for Big Data
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Infosys BigDataEdge™ Architecture
Infosys Capabilities

Global Delivery Model

Training Capabilities

Operational Efficiency

Management/Leadership

High Quality Standards
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Infosys SocialEdge – Big Data Analytics Platform
Infosys Corporate Level Strategies
Core Strategies
I.
Global Delivery Model: Producing where it is most cost effective to produce & selling
where it is most profitable to sell.
II.
Moving up the Value Chain: Getting involved in a software development project at the
earliest stage of its life cycle.
III.
PSPD Model: “Predictability of Revenues, Sustainability of Revenues, Profitability, Derisking” for risk management.
Generic Strategies
I.
II.
Low cost Global delivery 24/7 Model
Little differentiation in low-end services of value chain
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III.
High differentiation in high end services of value chain like software products and
package solutions
IV.
Focus on quality, customer relationship management, timely-delivery
Infosys BigDataEdge™ - Technology
Partner
Oracle is Technology Partner of Infosys BigDataEdge™
Infosys BigDataEdge + Oracle
Value Proposition of BigDataEdge + Oracle
i.
40% faster ingestion & Discovery
ii.
8X faster insights
iii.
250 prebuilt algorithms for rapid insights
iv.
Real time decisions
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“Everything about Customers”.
Infosys BigDataEdge™ + Oracle Technology Model (as of December
2013)
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Sales Intelligence™ Report
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Infosys BigData™ Global Landscape
Eclipse
Netbeans
JBOSS developer Red GATE Apache
studio
Big
SDB
Data
Apache Jena - Fuseki
Protege
OpenRDF
Putty
Winscp
Filezilla
OpenNLP
RestClient
Firebug
Postman
Tomcat server
JBOSS
TomEE
Hadoop
Hive
Pig
Oozie
Mahout
Impala
Zookeeper
Storm - open source, big- Whirr
data processing system
HBase
Cassandra Sqoop
MongoDB
Apache Mesos
Rhipe
Amazon s3
EC2 and EMR Cloud CDH
instances (Amazon Elastic
MapReduce
(Amazon
EMR))
Mapr
HDP
Apache Hadoop
Intel® Distribution
Apache Hadoop
Cloudera
Manager
Ganglia
BigDataEdge™
Flume
for Rapid
Miner
Jena
Exclusive Technology Landscape in Infosys Big Data™
Hadoop
Hive
Pig
Oozie
Sqoop
Hbase
Storm
Linux
Impala
Java
Ruby on Rails
Jquery
MongoDB
Windows
Linux
JavaScript
Jquery
Backbone.js
HTML
CSS
Apache
Tomcat Nginx
Web Server
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Inclusive: Technology Landscape in Infosys Big Data™
VMware player
Virtual Box
Jira
MediaWiki
Twiki
Dokuwiki
Wordpress
Mantis
Bug
Tracker
Visual
SVN Apache Tomcat Apache httpd JBOSS server
server
server
server
Infosys BigDataEdge™ product development started: May 2012
Product Developed launched in Market: February 2013
Infosys Cloud & Big Data™ IT Infrastructure Management
Infosys performs Big Data research using Core Java, Pig scripting, Hive queries, R scripting,
Rhipe programming and MapReduce programming involving summarization patterns, Data
Organization patterns, Filtering patterns, Join Patterns, Meta patterns.

Infosys performs RDF data processing using SPARQL, Apache Jena SDB java API, Apache
Jena Fuseki Java API, Text Processing

Infosys performs content extraction using GATE & JAPE

Infosys performs text processing using apache Open NLP

Infosys performs MapReduce orchestration using oozie

Infosys performs recommendation to its customers in using Mahout Algorithms, Encog
Machine Learning, JSP, HTML and jQuery

Infosys executes Linux shell scripting, Python scripting, Windows Shell scripting

Infosys Big Data™ serves its customer in a project for creation of an automated car
using Artificial Intelligence.

Infosys Big Data™ R&D delivers one of its customers in Sentimental Analysis and Tag
Clouding using MapReduce and also using Hive SerDe

Infosys Big Data™ R&D performs analysis using Pig scripting and creates a Workflow
using Oozie.

Infosys Big Data™ serves its customers in following areas,
o Social Media Analytics
o Analyzing the reason for churn happened to a company.
o Analyses system logs generated using snort using hadoop.
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o Creation of new Hadoop Clusters
o Creation of Virtual Machines for Hadoop Cluster and Servers.

Infosys Big Data™ is deploying Hadoop and other BigData services in Cloud

Infosys Big Data™ is monitoring Hadoop clusters using Cloudera Manager and Ganglia

Infosys Big Data™ use Cloudera, Apache, Hortonworks, Intel and Mapr distributions of
Hadoop.

Infosys Big Data™ installed and configured the following technologies
Hive
Pig
Impala
HBase
Cluster
Storm Cluster
Sqoop
Mahout
Oozie
Zookeeper
Cassandra
Cluster
Cloudera Manager Free
Ganglia
Hue
Flume
R Studio
RMR
R
-
-
(Hive server 1 and 2)
and Enterprise Edition
Rhipe
programm
ing

Infosys Big Data™ performs cluster creation using Whirr and performs Hadoop cluster
testing using Tera-sort

Infosys Big Data™ executes Open NLP – Natural Language programming and Encog
Programming for Machine Learning
Infosys BigDataEdge™: Big Data projects executed in ‘Information
Management CoE’ in Infosys labs located in Quincy, MA 02169, USA
‘Infosys BigDataEdge™ - Information management CoE’ performs BigDataEdge™ Product
Engineering; conceptualizing, designing and executing the development of the IP assets in
the Advanced Analytics areas.
Infosys BigDataEdge™ - Research operations performed in Infosys labs:

‘Information Management CoE’ in Infosys labs performs conceptualization and design of
product features of BigDataEdge™ financial services offerings.

Infosys labs are mapping the business use cases with technology features, evaluating
the appropriate use of techniques and algorithms for their implementation.

Infosys delivered use cases like,
o Enterprise risk analytics in financial derivatives
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Infosys BigDataEdge™
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o Social media compliance
o Enhanced product classification leveraging textural product description
Analytical Techniques used in BigDataEdge™

Infosys BigDataEdge™ use different analytical techniques deployed by ‘Information
Management CoE’ in Infosys labs in Quincy, USA
o Data mining
o Unstructured Analytics – Natural Language Processing
o Text Mining
o Neural networks
o Artificial Intelligence
o Bayesian networks
o Forecasting and Recommendation
o Image processing

Infosys deploys Advanced Analytics for its BigDataEdge™ offerings, after performing
intense market research.

Infosys prepares multiple solution designs, develops use cases, PoC and then validates
techniques.

Project Onsite Location: USA

Project Offshore Location: Mysore, Pune and Bangalore

Project Start: February 2013

Project End: As of December 2013, Infosys BigDataEdge™ implementation and delivery
are in fast progress.
C
C++,
UNIX
Windows
MATLAB
R Software
Linux
Address of Information management CoE that performs BigDataEdge™ Product
Engineering: Two Adams Place, Quincy, MA 02169; Phone:+1 781 356 3100; Fax:+1 781
356 3150
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Infosys’ Hadoop Roadmap started since February 2011

Infosys has started to build Hadoop Team within the organization, since February 2011

Infosys is building the Hadoop Competency across the organization (since February
2011) by training them in Hadoop and its Eco system.
o Framework: Hadoop ecosystem, Cascading
o Development Methodology: Scrum/Sprint
Infosys BigDataEdge™ in Banking and Finance vertical using Big Data
and NoSQL technologies

Infosys is currently executing a multi-year $10 million program (for BOA) to
consolidate multiple applications in the BOA’s domain and re-platform to Hadoop /
Vertica architecture to reduce cost and improve performance.

Infosys has recently executed a $10 million program (for Apple) to build a high
performing common reconciliation platform for gift card transactions using MongoDB.

Infosys is identifying tools; defining and implementing proof of concept (PoC) for all its
existing and prospect customers in Banking and Finance vertical

Infosys is designing and implementing architecture in Big Data and SOA, for key
customers in Banking and Finance vertical.
Infosys BigDataEdge™ Key Projects from CA, USA

Infosys is architecting Big Data solutions for Enterprises using algorithms like,
o GLMNET
o Random Forest
o Linear Regression
o Clustering etc.

Infosys use Big Data Technologies like R, Rhipe, RMR, Hadoop - Hive and Map Reduce

Infosys is successfully implementing Scalable and High Performance Data Platforms

Infosys implements next generation web BI platform for telecom service providers in
USA
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Infosys BigDataEdge™

“Everything about Customers”.
Infosys delivers project from its office location address: 7707 Gateway Boulevard, Suite
110, Newark, CA 94560; Phone: +1 510 742 3000; Fax: +1 510 742 3090.
Technology Landscape deployed in Infosys office located in CA, USA
BigDataEdge™ platform: Ambari, Zookeeper, Sqoop, Hive (Stinger), MapReduce, R
Software, Rhipe, GLMNET, Mahout Algorithms, Hortonworks Data Platform 1.3
Databases
Programmin
g Languages
Operating
Systems
Tools
PM Tools
DB2 on LUW
and z/OS
COBOL
Linux
HMC
MS Projects Infosys IPM+
Oracle
10g/11g
JCL
AIX
Ambari
RPM
IBM’s QMS
(Quality
Management
System)
IMS
SQL
Solaris
Nagios
ILC
OPAL
IDMS
REXX
CentOS
Talend
SDMS
CMMI
Hadoop
Assembler,
z/OS, OS/390,
UNIX Shell
Windows
Scripts and
Java
TOAD, OEM, IBM Data NIKU,
Studio and DB2Control
HPOV,
Centre Tools, DB2TOP,
IBM
DB2PD,
DB2exfmt,
Manage
DB2expln,
CA-now
Platinum for
DB2,
and
BMC Apptune, STROBE,
Clarity
ERWIN, FILE-AID, QMF,
Omegamon, TMON
Processes
Clarity
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Infosys BigDataEdge™
“Everything about Customers”.
Infosys BigDataEdge™ and CRM Analytics projects served since 2012,
from Infosys office located in Plano, Texas, USA
Infosys delivers the following major projects using BigDataEdge™
1. Social Media Analytics/CRM solution for a global pharmaceuticals company in
Philadelphia, PA, USA
2. Big Data/Analytics solution for a leading Casual Dining chain in Orlando, FL, USA
3. CRM Analytics solution for an office supplies company in Miami, FL, USA
4. Social CRM/Analytics for a Financial Services/Insurance company in USA
5. CRM/Analytics solution for a leading Japanese Auto company in Dallas, Texas, USA
6. CRM/Analytics solution for a pharmaceuticals company in New York city, USA
Infosys office Location of project delivery: Plano, Texas, USA.
Infosys BigDataEdge™ use Microsoft’s internal Big Data Analysis
platform called Cosmos in Log Retention Service

The Log Retention Service provided by Infosys is addressing the process of collecting
the log data from federated services and retaining it, so that it can be provided to the
syndication partners of Infosys. This aids syndication partners in fulfilling local data
retention requirements.

While providing the Log Retention Service, Infosys executed deployment of WCF
services on to Windows Azure platform and implemented uploading logs to Microsoft’s
internal big data analysis platform called Cosmos.

Infosys delivers BigDataEdge™ projects from onsite location address: 3326 160th
Avenue SE, Suite 300, Bellevue, WA 98008; Phone: +1 425 256 6200; Fax: +1 425 256
6201.

Project Start: February 2013
Windows Azure
C#
WCF
PowerShell
MEF
Windows Forms
MS Build
Source Depot
StyleCop
FxCop
CodeFlow
Microsoft Cosmos
Address of Infosys office that use Microsoft Cosmos in BigDataEdge™ product: 3326 160th
Avenue SE, Suite, 300, Bellevue, WA 98008. Phone: +1 425 256 6200. Fax: +1 425 256 6201
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Sales Intelligence™ Report
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Infosys BigDataEdge™ use Oracle Exadata in CA, USA

Infosys BigDataEdge™ is coupled with in Cloud Computing - Big Data Practice
(erstwhile Performance Engineering and Enhancement practice)

Project Management activities are,
o Oracle Exadata optimization
o Oracle Database Performance optimization
o SQL Tuning and PLSQL
o Performance Consulting Services
o Performance Assessment
o Performance Benchmarking
o Performance Tuning
o End-to-End performance engineering life cycle
o NFR gathering and Validation
o Performance modeling
o Hardware sizing and capacity planning
o Performance testing strategy
o Performance testing using load-runner
o Data modeling

Infosys delivers project from its office location address: 7707 Gateway Boulevard, Suite
110, Newark, CA 94560; Phone: +1 510 742 3000; Fax: +1 510 742 3090.
Hadoop
Pig
and HP, IBM, Sun
Windows servers
and Linux, HPUX, AIX, Solaris,
Windows, RHL
Oracle
Exadata, Oracle 11g
10g / 9i,
/
Oracle TimeTen IMDB
Oracle 10g AS,
Weblogic 8.1
Mercury
Load
Runner, Oracle
9i
Developer Suite, Oracle
Designer6i, Mercury Test
Director, HP Glance Plus.
PL/SQL,
SQL, Statspack / AWR, Tkprof,
Oracle
Sar,
Vmstat,
Lostat,
Forms, Pro*C, Unix Perfmon
Shell Programming
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Sales Intelligence™ Report
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Infosys BigDataEdge™ - Digital Marketing Strategy

Digital Marketing – Products, Platforms and Communities Team in Infosys
launched BigDataEdge™, Cloud Ecosystem Hub and Finacle Digital Commerce in the
span of one year, which included
o Website launch
o Digital outreach and branding / lead generation through LinkedIn, Google PPC,
etc.

Infosys garnered over 7K visits to the BigDataEdge™ site and 100+ leads in two weeks
after launching in February 2013.
Infosys BigDataEdge™ - Internal training program on Big Data is
called ‘Infosys at the Cutting Edge’

Infosys’s internal training program on Big Data called ‘Infosys at the Cutting Edge’ is the
initiative taken by the CTO of the Retail Unit, during 2012.

Top Performers across all business verticals are recognized in a program titled, ‘A Day
in the Life of a Leader’ during 2012. Top performers in Big Data Practice were also
recognized in this program during 2012.

Top Performing employees working at the client sites are recognized in a program
titled, “Client Superstars of the Month” during 2012. Top performers in Big Data
Practice, who are located in Client locations, were also recognized in this program
during 2012.
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Infosys BigDataEdge™ - Customer
Intelligence
Partial list of customers using Infosys BigDataEdge™
SI #
Customer Name
Customer Satisfaction Index
1
Bank of America
7/7
2
SunTrust Banks Inc
7/7
3
Aetna
7/7
4
Humana
7/7
5
McKesson
7/7
6
Wells Fargo
7/7
7
Fidelity Investments
7/7
8
PMI Group
7/7
9
First USA (currently JPMC)
7/7
10
Deutsche Bank, USA
7/7
11
CapitalOne, USA
7/7
12
Ally Bank, USA
7/7
13
Shinsei Bank, Japan
7/7
14
Wachovia Bank, USA
7/7
15
Nokia, Asia Pacific
7/7
16
Cathay Pacific
7/7
17
DHL Worldwide
7/7
18
Apple Inc
7/7
19
Xerox
7/7
20
Motorola
7/7
21
T-Mobile
7/7
22
Cisco
7/7
23
Ahold, Netherlands
7/7
24
Pfizer
7/7
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25
GAP Inc
7/7
26
SuperValu
7/7
27
DIRECTV
7/7
28
Erricson
7/7
29
Pfizer Inc
7/7
30
Deutsche Bank
7/7
31
British Telecom
7/7
32
Sainsbury’s
7/7
33
GMAC Financial Services
7/7
34
Toyota
7/7
35
PricewaterhouseCoopers
7/7
36
Baker Hughes
7/7
37
CardinalHealth
7/7
38
American Express
7/7
39
Deutsche Bank
7/7
40
DBS Bank Ltd
7/7
41
Walmart Stores
7/7
42
UL
7/7
43
AMP, USA
7/7
44
Australian Bank
7/7
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Sales Intelligence™ Report
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1 - Infosys BigDataEdge™ serves Wells Fargo Bank, USA using
MongoDB in ‘FOREX Position Risk Management Application

Infosys has built its team; prepared project scheduling; performed design and
development of the ‘Forex Position Risk Management application’

Infosys has built a strong technology team using Mongo DB, Eclipse RCP, Oracle
Coherence CEP, Distributed Computing, Messaging Systems
Java
MongoDB
Spring
Oracle Coherence
Scrum
Maven
GUI: Eclipse RCP
Anthill
SQL Server
My Batis
Nexus
Quartz

Infosys delivers project from its office location address: 13777 Ballantyne, Corporate Pl,
Suite 250, Charlotte, NC 28277, USA; Phone:+1 704 972 0320; Fax:+1 704 972 0311

Project Start: August 2011

Project Delivery – 1st Phase: October 2012
Infosys served Wells Fargo Bank, USA by delivering ‘Enterprise Reporting Platform’

Infosys designed and developing an Enterprise Reporting Platform across the
organization of Wells Fargo, USA
Spring
Jasper Reports
Scrum
Maven
Nexus
Anthill

Infosys delivers project from its office location address: 13777 Ballantyne, Corporate Pl,
Suite 250, Charlotte, NC 28277, USA; Phone:+1 704 972 0320; Fax:+1 704 972 0311

Project Start: April 2011

Project End: August 2011
Infosys BigDataEdge™ use ‘Oracle’ while serving Wells Fargo Bank, USA

Wells Fargo runs Oracle Application Express 4.1 on Oracle Real Applications Clusters
(Oracle RAC) 11g Release 2. It uses the Oracle Application Express interface to provide
a portal for the Wells Fargo Database Neighborhood (DAN). Among the key portal
components are,
o Management of the scheduling, data migration, add-target requests, and
communications for the Oracle Enterprise Manager 12c Cloud Control migration
o Interface for creating production support e-mails to DAN customers
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o Oracle patch set reporting used to identifying where Oracle Database PSUs/CPUs
are missing
o Reporting for host-level jobs running in the DAN
o Reporting for the policing of resource utilization in DAN

Wells Fargo Bank use Database Area Neighborhood (DAN)
o DAN provides infrastructure services for Oracle Real Application Clusters
o DAN is supporting:

5 Lines of Business

45 Oracle DBAs

1100 Databases

430 hosts

91 clusters
Enterprise Data Management (EDM)
DAN Infrastructure Services
Operations
Community
Banking
Corporate
Wealth
Consumer Lending
APEX Infrastructure Components
DAN MetaData Interface via Oracle Application Express
Oracle APEX v4.1.1
Oracle Application Server 10gR2 with PL/SQL Toolkit (mod_plsql)
Oracle RAC Database v11.2.0.2
Real Application Cluster (RAC) v11.2.0.2
Application Express

Plan
o Map out how your application will flow

Design
o Make use of key APEX components

Deliver Solutions
o Understand how you can best meet your customer’s needs
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Data Consolidation using DAN MetaData via Oracle APEX
Best Practices Implementation of Oracle
a. Utilize PLSQL procedures and packages for application logic
b. Keep complex queries in views
c. Maintain a consistent look and feel for interface
i.
Theme
ii.
Navigation
iii.
Formatting with CSS
d. Make use of built in features such as Interactive Reports
e. APEX Advisor
f. Monitor Activity of the Application
g. Slow Page, check underlying queries
h. Debug Mode for problem analysis
i.
Code Review
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Infosys BigDataEdge™ serves Wells Fargo Bank, USA using Oracle Active Data Guard
for Data Protection
About Wells Fargo - Enterprise Data Management (EDM):

Centralized Technology Group Supporting Multiple Lines of Business

Support 2000+ Oracle Databases

Across 10 Data Centers in the U.S.
Project status during 2012:
Wells Fargo initiated a project for the brokerage to migrate away from using costly
hardware-based replication and an “All or Nothing” data center failover model for Disaster
Recovery (DR).
Project Goal:

Enable a more flexible component level failover

Reduce overall costs

Leverage the DR hardware to improve ROI
Previous Solution Architecture in Wells Fargo Bank
Project Requirements:

Consolidate Multiple Databases Clusters

Reduce Production Load by Offloading Backups & Ad/Hoc Queries

Reduce DR Testing Requirements
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
Support Component Level Failover

Shared Services RO calls must run Locally due to Response Time SLA

Ease of Maintenance
Present Solution Architecture (as of December 2013)
Key Points:

During OLTP window, database averages 750 commits and 3MB of Redo per second.
Standby side is able to maintain an Apply Lag <= 1 second.

The ability to offload backups to standby, reducing physical reads on the primary
cluster by 18%.

User Reports and Ad/Hoc queries make up approx 5% of workload. They are now able
to be isolated to standby cluster to limit impact to online activity.

The ability to monitor Active DR Databases and reduce the frequency for DR testing.
Success factors:

Tuning Redo Transport to limit Apply Lag
o Enabling Redo Transport Compression

Helped lower bandwidth on average by 2.5x
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Standby DB are able to catch up much quicker from Redo spikes
o DB Parameter “LOG_ARCHIVE_MAX_PROCESSES”
 Default value = 4


Increased value helped with heavy redo spikes during batch activity
The ability to backup and recover a database from either cluster
o All backup files are cataloged and available to both clusters
o Makes for EASY re-instantiation and incremental recovery of very large
databases

Proper TNS Configuration
o Leverages Role Based Named Services
o Descriptions list the Local Cluster first
o Tune Connection timeouts to limit login time when primary cluster is offline.
o CONNECT_TIMEOUT, TRANSPORT_CONNECT_TIMEOUT & RETRY_COUNT
PROD_Reports =
(DESCRIPTION_LIST = (LOAD_BALANCE=off)
(DESCRIPTION = (LOAD_BALANCE=on) (CONNECT_TIMEOUT=5)
(TRANSPORT_CONNECT_TIMEOUT=3) (RETRY_COUNT=0)
(ADDRESS_LIST = (ADDRESS = (PROTOCOL = tcp) (HOST =
LOCAL-SCAN) (PORT = 1521)))
(CONNECT_DATA =
(SERVICE_NAME=PROD_REPORTS)))
(DESCRIPTION = (LOAD_BALANCE=on)(RETRY_COUNT=2)
(ADDRESS_LIST = (ADDRESS = (PROTOCOL = tcp) (HOST =
REMOTE-SCAN) (PORT = 1521)))
(CONNECT_DATA =
(SERVICE_NAME=PROD_REPORTS))))

Configure services to auto-start based on database role to manage where clients can
connect, no system event triggers needed:
srvctl modify service -d db_unique_name -s PROD_RW -l PRIMARY
srvctl modify service
PHYSICAL_STANDBY
-d
srvctl
modify
service
-d
PRIMARY,PHYSICAL_STANDBY
db_unique_name
-s
db_unique_name
PROD_REPORTS
-l
-s
-l
PROD_RO
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Sales Intelligence™ Report
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“Everything about Customers”.
The ability to monitor and report on standby apply lag:
o Grid Control to alert when apply lag exceeds SLA
o Dictionary views to monitor and troubleshoot issues

V$DATAGUARD_STATS – Shows current status

V$STANDBY_EVENT_HISTOGRAM – Histogram of Apply Lag

V$ARCHIVE_GAP – Any archive gap blocking recovery
Infosys BigDataEdge™ use Oracle Database 12c (today and in Future) for Wells Fargo
Bank

Writeable Global Temp Tables on the Physical Standby to Enable Additional Offloading
of Reports

Better Audit Collection and Management for Physical Standby Activity

Simplified Rolling Upgrades
New features to be included in Wells Fargo using Active Data Guard

Protection and Increased Return On Investment
o Zero-Data-loss protection at any distance
o Writing to global temporary tables
o Using unique sequences
o Real-time Cascading

Monitoring and Manageability
o New capabilities of the Data Guard Broker

Planned Maintenance
o Automated Rolling Database Maintenance
EDA (Enterprise Data Analytics) at Wells Fargo Bank

Infosys BigDataEdge™ is creating PoC for using Big Data technologies in Wells Fargo’s
EDA (Enterprise Data Analytics) project.

Infosys BigDataEdge™ is developing MapReduce programs for extracting and analyzing
data in Aster hadoop platform.

Infosys BigDataEdge™ is designing and implementing
methodologies
new ETL process and
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
Infosys BigDataEdge™ is designing and developing application layer for six different
projects on top of the existing EDW

Infosys BigDataEdge™ has designed and developed ETL jobs using Abinitio and Terdata
BTeq scripts

Infosys BigDataEdge™ serves Wells Fargo’s business users on ADHOC data pulling and
loading data.
Technology Landscape:
AbInitio (GDE (3.1.3) and Co. Op Oracle 10G
3.1)
Teradata
UNIX
Script
Shell
Pre populate risk model (PPRM) project during 2010: The purpose of Pre populate risk
model (PPRM) project is data integration of WFE (Wachovia) and Wells Fargo for Fraud
detection and prevention.
AbInitio (GDE (3.1.3) and Co. Op 3.1)
Oracle 10G
UNIX Shell Script
-
MSR (My spending report): MSR (My spending report) is an online banking solution which
helps to analyze each customer’s spending patterns.
AbInitio (GDE (3.1.3) and Co. Op 3.1)
Oracle 10G
Teradata
UNIX Shell Script
Key number about Wells Fargo Bank (as of June 2013)

Assets: $1.4 trillion

Team members: More than 275,000

Customers: 70 million
Wells Fargo Bank - Digital Banking Strategy (as of December 2013)

Digital Banking Strategy of Wells Fargo is to re-assess, re-imagine, and re-launch the
online banking offering for 70 millions of consumers, taking into account the rapid
adoption of social media, mobiles, and new devices such as tablets.
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
Digital Banking Strategy Team of Wells Fargo is analyzing and evangelizing Social Media
trends, adoption
by
customer
segments, impact on customer
behavioral
patterns, emerging best practices both within and outside banking, and identified
related business opportunities. Wells Faro Bank is prototyping customer digital
experience and instilling social plug-ins.

Digital Banking Strategy of Wells Fargo is building the multi-million business case to
transform the digital channels and upgrade the digital user experience for 20MM+
digital customers.

Digital Banking Strategy of Wells Fargo has valuated analytical capabilities to better
target
and
deepens
the
relationship
with
customers
by leveraging marketing analytics and
enabling better
personalization
and
contextualization of product offering.
2 - Infosys Technologies Ltd serves Bank of America (BOA) using
BigDataEdge™

Infosys is serving Bank of America (BOA) during the past 13 months (since November
2012, even before BigDataEdge™ is marketed as a brand, in the media during February
20, 2013)

Infosys serves Bank of America (BOA) to re-platform Teradata applications to Vertica /
Hadoop based architecture and consolidates multiple warehouses in the BOA’s domain.

During December 2013, Infosys BigDataEdge™ team is extensively working to perform
End-to-End development for Bank of America(BOA),
o Stage 1: Initial proposal preparation and submission
o Stage 2: Business Case Development
o Stage 3: Architecture definition
o Stage 4: Implementation of roadmap definition using Big data technologies
(BigDataEdge™)
o Stage 5: BigDataEdge™ Implementation in multiple location of BOA.

Project Onsite Location: USA

Project Offshore Location: -Not Available-

Project Start: November 2013
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
Project End: -Not known- (From January 2014, Infosys BigDataEdge™ will perform
implementation and delivery, in fast progress).

Infosys is delivering BigDataEdge™ to BOA from Atlanta, GA, USA: Address - 3200
Windy Hill Road SE, Suite - 100W, Atlanta, GA 30339, USA; Phone:+1 770 799 1860;
Fax:+1 770 799 1861
Infosys BigDataEdge™ serves Bank of America (BOA) using “Customer Data Mart
(CDM)”

The Customer Data Mart (CDM) project’s objective is to have a one-stop shop for all
customer related information that would provide a 360 degree view of customer
related data. This was done post the 2008 downturn to avoid a scenario where the bank
had encountered losses due to the lack of comprehensive customer information.

The CDM application sources data from various source systems like UNIX and
Mainframes that send all related data through files or even directly pull from source
database tables. Data is fetched across different lines of business, processed by
subjecting it to transformations, organized it in a customer oriented format and sent to
the downstream systems. This data is used in risk analysis for a customer, and used to
make key decisions in adjudging customer eligibility for loans, mortgages, card
applications etc and credit reporting/analysis.

Customer Data Mart (CDM) project involves migration of one of their unit from
Teradata to HP Vertica as Vertica offers increased security features and benefits.

Infosys performed consolidation of CDM and C&RA (Customer and Relationship
Application) on a single platform CDH (Customer Data Hub).
Hadoop
Teradata
HP Vertica
BTEQ Scripts
Autosys
Linux
Infosys’ large engagements for BOA: Maintain Customer Information for Consumer
and Small Business Banking customers of Bank of America

The Customer Information Systems (CIS) is a shared services group within Consumer
and Small Business Banking segment of Bank of America, servicing many channels like
Banking Centers, Online Banking, ATM, VRS, etc. CIS was using KTC (Know The
Customer) which is a Siebel CRM based system to manage customer information. Over
the years, the KTC system became so huge and complex; it became challenging to
manage.
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
The Customer Information Systems (CIS) management took a strategic decision to
replace KTC with a Copernicus model having WCC (IBM Websphere Customer Center)
as a hub containing core customer information and many Federated Applications
containing different functions around WCC.

Scope of Work:
o (1) implementing and customizing WCC
o (2) Building new Federated Applications CNE (for Alerts)

OFR (for offers)

FRE (for risks)

SPX (for Combined Statements and Relationship Pricing)

IDV (for identity validation)
o (3) Integration with other systems due to mergers and acquisitions
o (4) Implementing new business requirements.

Onsite Location: BOA, Charlotte, USA

Offshore Location: Bangalore, Chennai, Hyderabad, India

Project Start: February 2009

Project End: December 2013

Number of Resources deployed since the Project started: 160+
J2EE Web Services
COBOL
DB2
JCL
Oracle
IBM Websphere Application RAD
Server
Rational Clear Case
Quality Center
FieldGlass
Microsoft Visio
Microsoft Project
3 - Infosys BigDataEdge™ serves American Express (AMEX)
Infosys BigDataEdge™ is providing more accurate Business Intelligence (BI), performance
efficiency and technical capabilities of the Hadoop platform.
SAS
Revolution R
Protegrity Dataguise
Open Source R
Datameer
KarmaSphere
Microstrategy
Informatica Sync Sort
Infosys provides ‘Performance Architecture’ for American Express

The customer (AMEX), an engine of commerce, provides innovative payment, travel and
expense management solutions for individuals and businesses of all sizes.
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Sales Intelligence™ Report
Infosys BigDataEdge™
“Everything about Customers”.

The customer engaged Infosys to redesign their application so that it can scale up to
handle the increased load in the system due to open up the system to web users.

Infosys executes database administration activities for both DB2 on z/OS and UDB on
LUW

Infosys provides performance improvement recommendations by analyzing existing
system

Infosys performs workload management and analysis
IBM mainframes – z/OS
COBOL
JCL
DB2
PL/SQL Stored Procedures
DB2 UDB Unix
MS Office suite
BMC / Apptune

BigDataEdge™ - Customer Satisfaction Index: 7/7

Project Start: June 2009

Project End: March 2010
4 - Infosys BigDataEdge™ serves SunTrust Banks Inc

Infosys BigDataEdge™ is serving SunTrust Banks Inc during the past 17 months (since
August 2012) even before BigDataEdge™ is marketed as a brand, in the media during
February 20, 2013)

Infosys serves SunTrust Banks Inc to implement a validation and an application of Big
Data technologies (BigDataEdge™) for Risk Management.

During December 2013, Infosys BigDataEdge™ team is extensively working to deliver
this project during June/July 2014,
o Stage 1: Initial proposal preparation and submission
o Stage 2: Defined Proof of Concept
o Stage 3: Defined Architecture
o Stage 4: Defined roadmap for BigDataEdge™ implementation at the SunTrust
Banks Inc.
o Stage 5: BigDataEdge™ Implementation in multiple location of SunTrust Banks
Inc.

Project Onsite Location: USA

Project Offshore Location: -Not Available-

Project Start: August 2012
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
Project End: 2014 (From January 2014, Infosys BigDataEdge™ will perform
implementation and delivery, in fast progress).

Infosys is delivering BigDataEdge™ to SunTrust Banks Inc from Atlanta, GA, USA:
Address - 3200 Windy Hill Road SE, Suite - 100W, Atlanta, GA 30339, USA; Phone:+1
770 799 1860; Fax:+1 770 799 1861
5 - Infosys Technologies Ltd serves Apple Inc using BigDataEdge™

Infosys is serving Apple Inc during the past 17 months (since August 2012) even before
BigDataEdge™ is marketed as a brand, in the media during February 20, 2013)

Infosys serves Apple Inc to build a reconciliation platform using NoSQL technologies
(MongoDb) and techniques - to improve performance for processing gift card
transactions in US Market.

During December 2013, Infosys BigDataEdge™ team is extensively working to deliver
this project during June/July 2014,
o Stage 1: Initial proposal preparation and submission
o Stage 2: Defined Proof of Concept
o Stage 3: Gift card reconciliation track for Apple Inc
o Stage 4: Defined Architecture
o Stage 5: Defined roadmap for BigDataEdge™ implementation at the Apple Inc.
o Stage 6: BigDataEdge™ Implementation in multiple location of Apple Inc.

Project Onsite Location: USA

Project Offshore Location: -Not Available-

Project Start: November 2011

Project End: Not Known (From January 2014, Infosys BigDataEdge™ will perform
implementation and delivery, in fast progress)

Infosys is delivering BigDataEdge™ to Apple from Atlanta, GA, USA: Address - 3200
Windy Hill Road SE, Suite - 100W, Atlanta, GA 30339, USA; Phone:+1 770 799 1860;
Fax:+1 770 799 1861
Infosys BigDataEdge™ serves Apple Inc using Reconciler platform

Reconciler for Apple Inc, a generic financial reconciliation product for reconciling many
transactions (inbound and outbound), which happen through many sales channels
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(Retail and Online). This is a highly scalable and configurable platform that supports
multi tenants of different products.

Reconciliation platform provides one standard and scalable platform to accomplish
reconciliation needs for reconciliation of various products - Multi tenancy support.

iPhone Reconciliation, Gift Card Reconciliation and iTunes Reconciliation, are tenant
applications on boarded specific to iPhone, Gift Card and iTunes product reconciliation
that provide user interface to configure the templates definitions, to configure the
reconciliation rules, analyze the results of reconciliation performed by the platform and
enable end user actions for identified use cases.
Infosys BigDataEdge™ is implementing multiple Hadoop for processing the billion
transactions in Apple Inc.
Infosys BigDataEdge™ is scheduling Oozie workflow engine to run multiple jobs and
performs capacity planning, cluster set-up with Replicas, and Back up.
Infosys BigDataEdge™ executes Performance Tuning (process tuning and query tuning),
Stress testing on each of this application to handle the volume of a billion transactions
per month.
Infosys provides Enterprise wide Performance Engineering and Optimization solution
to Apple Inc. The solution focuses on delivering high performance and scalability for
mission and business critical applications.




Hadoop
Hive
Grid Gain
Oracle
Coherence
MongoDB
Java 5
IBM
WebSphere
eXtreme Scale
Design Patterns: Web Development: J2EE Distributed
GoF and J2EE Web
Components Technologies: EJB 2.1
Patterns
(Servlets / JSP), Struts JMS, IBM MQ Series
1.1/1.2, Web Services,
JavaScript, XML, XSLT,
HTML, CSS
Databases:
Oracle 10g, SQL
Server
2000,
MySQL Sever
Tools / Frame Work: Ant, Development
Maven, XDoclet, Quartz, Methodologies:
Sonar, Jenkins, Crucible, SCRUM, RUP
Struts 2, SPEL, Spring
MVC, Spring Batch, JQGrid,
JQuery, Hibernate 3.0,
Application and
Server: Tomcat
BEA Web Logic
8.1,
JBoss
WebSphere
Web
4.1+,
7.0 /
3.2.7,
Browser Technologies
Agile HTML/HTML5,
JavaScript, CSS/CSS3,
AJAX, JSON, JQuery
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Log4J, JUnit, TIBCO Portal
Builder, Spring Cache
Currently, Infosys performs TeraData to Hadoop Migration Semantics Aggregation, for
Apple Inc
Hive Oozie TeraData Hadoop Platform: HortonWorks 1.0.3



Project Start: February 2013
Project End: During 2014
Infosys delivers Apple, Inc from Infosys office located in CA, USA: 7707 Gateway
Boulevard, Suite 110, Newark, CA 94560; Phone:+1 510 742 3000; Fax:+1 510 742
3090
Infosys India delivers Hadoop EDW for Apple Inc, since 2010
Hadoop-EDW Semantic Integration


A Semantic application is developed for carrying out all the Aggregate processes. The
Hive queries are required to be formed and configured at design time scripts for the
Oozie workflow.
The Autosys job calls the python script which executes the Oozie workflow and in-turn
the hive queries automatically. The metadata comes from the semantic framework
which connects to Oracle using myBatis. The metadata is updated automatically using
framework.
o Infosys developed oozie workflows for end-to-end execution and framework
interaction.
o Infosys performed Hive Queries to accomplish the task through joins and
functions.
o Infosys developed and tested Autosys jobs to schedule the execution of
aggregate tasks after the dependencies are fulfilled.
o Infosys performed Unit testing, Data Validation and Production Deployment.
Hadoop-EDW Semantic Framework Development



A Generic Semantic framework is developed for carrying out all the Semantic processes.
The framework executed the queries automatically after being started by the Autosys
job. The framework had the capability for statistics collection and used to update the
run-time metadata.
Infosys has developed Java classes for end-to-end framework interaction and developed
the utility functions.
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Infosys BigDataEdge™
“Everything about Customers”.
Java
Hadoop
Hive
Oozie
iBatis
Teradata
Eclipse
Mac OS X
Linux
Hadoop EDW Pilot phase for Apple Inc






Hadoop EDW Pilot phase is a cloud migration project developed using java that uses
Hadoop as File system and Hive.
Data of various applications is loaded into the EDW using the ETL process. PoC was
created by Infosys to migrate the EDW data from Teradata to Hadoop.
Data from Teradata tables is migrated to Hive tables and the Hive QL is used to run
map-reduce jobs on HDFS to load the data from flat files to the core tables.
Data generated by various applications across all regions is finally aggregated as an end
result. In addition to faster processing and reduced cost storage, it also migrate existing
data from Teradata to Hadoop.
Infosys developed Java classes for end-to-end framework for interacting with Hadoop
Infosys used Hive Queries to accomplish inserts and update on data through joins and
functions.
Hadoop Hive
Java
Teradata
Eclipse


Mac OS X
Linux
-
Project Start: June 2011
Project End: April 12
Infosys BigDataEdge™ developed and delivered Replication- EDW2.0 for Apple Inc



Replication EDW 2.0 is a framework to replicate data to and from databases within and
across multiple products spanning across various geographical regions. It is built in 3
layers - Eventing layer for producing and consuming messages to and from Application
Teams, Replication Engine for replicating data from one database to another and
Orchestration Layer for wiring eventing layer with replication. It consumes messages
from application teams as events, uses built in intelligence to direct this event to an
appropriate replication flow, execute replication flow and notify application team of the
end result. Also, it is capable of replicating data to and from products like Teradata,
Oracle and Hadoop.
Infosys created PoCs for Talend Studio and Talend Big Data - ETL tools that provide
adapters for interacting with varied products.
Infosys use Perl to write a script for accepting some data from user validate it and pass
it to stored procedure running on a server.
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Sales Intelligence™ Report
Infosys BigDataEdge™
Java, J2EE
Teradata Utilities
“Everything about Customers”.
Perl
Mac OS X
Linux
Infosys BigDataEdge™ developed and delivered Hadoop EDW 2.0 for Apple Inc





Hadoop EDW 2.0 is a cloud migration project developed using java that uses Hadoop as
File system and Hive as the underlying Database.
Hadoop EDW 2.0 is provides cloud-based storage to data generated by various
Applications across all regions and generates aggregates as an end result.
In addition to faster processing and reduced cost storage, it also migrate existing data
from Teradata to Hadoop.
Project Start: June 2011
Project End: November 2011
6 - Infosys BigDataEdge™ product is used in T-Mobile’s Big Data - Web
Analytics







Infosys BigDataEdge™ is engaged with the T-Mobile Enterprise Architecture and
Transformation Solution team to build a next generation web analytics platform that
can handle massive amount of data coming from multiple channels and properly
correlate those data to build insights and next generation Business Intelligence
Platform. The new platform required to be capable of handling data coming through
click stream and correlate those data with subscriber and corporate data stored in
enterprise DW.
Infosys BigDataEdge™ performed Research to understand the current Landscape and
Data Sources for T-Mobile Web BI Platform and also documented the current DWBI
Architecture.
Infosys BigDataEdge™ performed detailed analysis of the Data Sources and current
technologies used to analyze those data, for T-Mobile
Infosys BigDataEdge™ created integration architecture with a focus on using new
technologies to augment the current analytics, for T-Mobile
Infosys BigDataEdge™ Identified and documented use cases that should be
implemented in the new Platform, for T-Mobile
Infosys BigDataEdge™ performed installation of Hortonworks Data Platform, for TMobile.
Infosys BigDataEdge™ designs Hive tables with partitioning, bucketing and indexing
and also created Hive queries to support the business objectives.
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Sales Intelligence™ Report
Infosys BigDataEdge™

Infosys BigDataEdge™ is monitoring and managing Hadoop cluster using Ambari and
Nagios
Linux Hive 0.11 HDP 1.3 Ambari Zookeeper
HBase




“Everything about Customers”.
SQL
Server
Eclipse
jqGrid
jQuery
BigDataEdge™ - Customer Satisfaction Index: 7/7
Project Start: March 2013
Project End: Expected to be completed during February 2014
Project delivery location from Infosys office located in Bellevue, WA, USA
7 - Infosys BigDataEdge™ product is used in GAP Inc for ‘Mainframe
Re-hosting Program’





Infosys BigDataEdge™ is engaged with the GAP Inc to discontinue use of Mainframe and
moving the application to Clerity platform in RHEL.
Infosys BigDataEdge™ and Dell prepares requirement gathering after reviewing Blue
Printing documents for new platform,
a. Target Infrastructure
b. Database Architecture
c. Security Architecture
d. Printing and Reporting
e. Interfaces
f. Tape data Migration Strategy
g. Backup, Archival and DR solution
Infosys BigDataEdge™ is creating database Migration Strategy for re-hosting the
mainframe DB2 Databases to target database DB2 on Linux platforms
Infosys BigDataEdge™ has installed UDB software on Linux environments and manages
DB2 on z/OS and DB2 on Linux
Infosys BigDataEdge™ automates the migration tasks to eliminate manual errors in
both Mainframe and Linux
IBM
COBOL
JCL
DB2
RHEL
z/OS
CICS

CA
Platinum
RACF UniKix
TPE/BPE
DB2
10.1
LUW
BigDataEdge™ - Customer Satisfaction Index: 7/7
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Sales Intelligence™ Report
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


“Everything about Customers”.
Project Start: June 2012
Project End: March 2013
Project delivery location from Infosys office located in San Francisco, CA, USA
8 - Infosys BigDataEdge™ - Strategic Insights Practice of Campaign
Analytics for Ally Financial, Ally Bank

Infosys BigDataEdge™ is developing analytical solutions to enable segmentation and
targeting, campaign design and measurement, for Ally Financial, unit of Ally Bank.
 Infosys BigDataEdge™ is designing solutions to implement new direct marketing
strategies, for Ally Financial.
 Infosys streamlines and automates the segmentation process to achieve high levels of
quality and improve operational efficiency, for Ally Financial.
 Infosys has streamlined the Cross-Sell marketing process which helped in cutting down
the manual effort from1.5 FTE to 0.75 FTE, 80% reduction in space usage and 78%
reduction in total cycle time.
 Technology Landscape used by Infosys BigDataEdge™ for Ally Financial:
Analytical Tools: SAS (Base, Big Data: Hadoop RDBMS: Office Tools: Operating
Macros,
STAT
&
Access), and MADlib
Oracle
Microosft
Systems:
SAS Enterprise Miner, SAS EG, R,
Office Suite
Windows
MATLAB, UNICA
NT/XP





Project Onsite Location: Plano, TX, USA
Project Offshore Location: -Not AvailableProject Start: September 2011
Project End: Project implementation is in Progress. Delivery date is not known, due to
upcoming deployment challenges.
Infosys is delivering BigDataEdge™ to Ally Financial from Atlanta, GA, USA: Address 6100, Tennyson Parkway, Suite 200, Plano, TX 75024, USA ; Phone +1 469 229 9400;
Fax +1 469 518 3858
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9 - Infosys serves Sears Holdings Corporation using
IBM Infosphere DataStage 8.0.1 and preparing PoC using Infosys
BigDataEdge™

Infosys is designing a common promotion framework for both Sears and Kmart for
sending the promotions (coupons / gift cards / mail in rebates) to the store and the
corresponding signs information to the store. This involves sending the best price for a
product in a store among the promotions set by multiple merchants at corporate office.
 The price selected in a set of business rules are sent to the store and sent to a third
party for printing the circulars/coupons.
 Also, Infosys Technologies is validating the business rules against the store and product
like store authorization, best price winning for a product, sign information, sending the
promotion prices of a product to the store register, handling different promotional
deals for a product etc.
 The main Functionality of the project is to send all the deals and prices in
Kmart and Sears Stores and the business team that creates the offers online, and then
Infosys have to send those offers to mainframe at the offer product store level. Once the
offers are created then online team run the java batches to create the market and
product files and then we start processing the data.
 Infosys executed several steps to process the data.
i. First, Infosys explore the markets and products and then perform store
authorization and chaining and collision. Infosys process around 1.5 billion records
in these steps and then load the staging tables.
ii. From the staging tables, Infosys send the data to all the downstream systems. For
the mainframe system which sends the price to stores, Infosys provide the fixed
width files at event level, event product level and event product store level. There
are other downstream systems like coupon, rewards, rebates etc.
iii. For signing, Infosys sends the data to a system which is called RES and it also
provide data to allocation system.
iv.
Then, Infosys load the datastore table which is used for Microstrategy reporting
where Infosys keep the history records.
v.
The above process runs every day as part of Infosys regular run and beside that
Infosys run emergency batch twice daily.
 Infosys used DataStage Designer to develop various Parallel jobs and Server Jobs to
extract, cleanse, transform, integrate and load data into different tables.
 Infosys has extracted data from different source systems such as DB2 UDB, Flat files,
VSAM files, Mainframe DB2 etc.
 Infosys executes performance tuning on Datastage Parallel jobs due to huge volume.
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Sales Intelligence™ Report
Infosys BigDataEdge™

“Everything about Customers”.
Infosys uses Teradata Fast Load, Teradata Fast Export and different utilities of
Teradata.
IBM Infosphere DataStage 8.0.1 IBM DB2 UDB
IBM Mainframe Teradata
DB2
Shell Scripting
WinCVS Versioning Control
M Tool
Scheduling Tool
10 – Infosys BigDataEdge™ serves Deutsche Bank using
‘Data Analysis Application’




Infosys performs design and development of analyzing financial data using Hive
Infosys designing Hive UDF’s for XML data archived in HDFS
Infosys is creating a PoC using Composite Data Virtualization tool, Hive and Oozie.
Infosys is developing Maven plugins for Hadoop based maven repository
Hadoop(HDFS) Hive Oozie Composite
Build Management Tools:
Maven
Spring



Java
Oracle
Development
Methodology:
Scrum
Hadoop
CDH 3/4
Environment:
Location: 13777 Ballantyne, Corporate Pl, Suite 250, Charlotte, NC 28277; Phone:+1
704 972 0320; Fax:+1 704 972 0311
Project Start: Oct 2012
Project End: June 2013
11 - Infosys performs ‘Investor Portfolio Analysis’ and ‘NAV Prediction
of omnibus funds’ for DBS Bank Ltd


Infosys performs analysis of investor portfolio based on transaction summary provided
by custom views of underlying oracle tables for other asset classes of WMS like bonds,
equities etc.
NAV prediction using various techniques like social media analytics and mining the
historical transaction data.
Hadoop Pig Hive Sqoop Shell Scripting
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Sales Intelligence™ Report
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12 - Infosys serves its customers using Weblog Analytics

Infosys performs Big Data analytics include Extraction, Transformation and loading
Data into Big Data Systems like Hadoop, Hive and Hbase.
o Data comes from various sources like Application logs, Application Messages,
Application Databases in different format.
o The objective of the project is to extract, transform and load data to Hadoop
based systems and do analytics on it like
 CDR analytics
 Bill Payment Fraud Detection
 Customer insights etc
o The second track included digital media analytics and web traffic/Click Stream
analytics based on digital media sources like,
 Awareness
 Direct Response
 E-mail
 Natural Search
 Paid Search
 Organic/Non organic traffic
 Platform (Web/Mobile) analytics
o It also consists of purchase/order analytics based on Cart/Purchase log analytics
to provide customer insights.
Hadoop
Hive MapReduce Oozie
Shell
Script
Java
Hbase
-
13 - Infosys BigDataEdge™ - Strategic Insights Practice of Web
Analytics for a Legal Services Customer


Infosys BigDataEdge™ is serving a customer in Legal Services in understanding the user
activity on their newly launched Legal Research portal and user dynamics which drives
the product adoption and conversion (Paid Subscribers) using the Predictive Modeling.
Infosys BigDataEdge™ team has analyzed all the drivers who play a vital role in
adoption of the product and then based on the adoption score highlighted the key
drivers
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Sales Intelligence™ Report
Infosys BigDataEdge™
“Everything about Customers”.

Infosys BigDataEdge™ team has assessed business needs of key business stakeholder
and developed solutions to cater their needs
 Infosys BigDataEdge™ team is serving this customer to identify
key customer engagement channels that are relatively more effective.
 Technology Landscape used by Infosys BigDataEdge™ for a customer providing Legal
Services:
Analytical Tools: SAS ( Base, Big Data: RDBMS: Office Tools: Operating
Macros, STAT & Access), Hadoop
Oracle
Microsoft
Systems:
SAS Enterprise Miner,
SAS and
Office Suite
Windows
EG, R, MATLAB, UNICA
MADlib
NT/XP




Project Onsite Location: 6100, Tennyson Parkway, Suite 200, Plano, TX 75024;
Phone:+1 469 229 9400; Fax:+1 469 518 3858
Project Offshore Location: -nilProject Start: July 2010
Project End: 1st phase of the Project got completed during August 2011. 2nd phase of
the project implementation is in fast progress.
14 - Infosys BigData™ serves its customers from its Infosys Office in CA,
USA in “Foreign Exchange Risk Management Banking Domain



Infosys is implementing and delivering Hadoop based applications like,
o Cloudera CDH4
o Hive
o Composite Data Virtualization tool
Cloudera
Hadoop
HBase
Map Reduce
HDFS
Hive
Pig
HBase
Cascading
Oozie
MongoDB
J2EE Technologies
Oracle Coherence
MongoDB
Lucene/SOLR
Amazon AWS
Groovy on Grails
Struts
Spring
Hibernate
jQuery
UML
Rational Rose
Rule Engine
Web Services
e-Learning LCMS Solutions
Eclipse RCP
-
Project Start: June 2013
Project End: During 2014
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Sales Intelligence™ Report
Infosys BigDataEdge™

“Everything about Customers”.
Project Delivery from Infosys Office Location: 7707 Gateway Boulevard, Suite 110,
Newark, CA 94560; Phone:+1 510 742 3000; Fax:+1 510 742 3090
Infosys - Technology Infrastructure in CA, USA
Languages:
J2EE
Application
ORM:
Java, Groovy, Technologies:
Servers: JBOSS, Hibernate,
SQL, PHP
RMI, EJB, JSP, TOMCAT, Apache MyBatis,
Web
Services
CodeIgniter
(Axis 2)
(PHP)
Frameworks:
Spring, Struts,
Grails,
SiteMesh, Ruby
on Rails
Enterprise
Integration:
Batch,
Spring
Integration
Search / Rule
Engines: Lucene,
SOLR,
e-Rules,
Drools
CMS: Drupal
e-Learning
/ Distributed
LCMS
Tools: Computing:
OLAT
Hadoop
(Cascading, Map
Reduce,
HDFS,
HBase,
OOzie,
Hive)
Databases:
Oracle,
SQL
Server,
MongoDB
Reporting
UML:
Tools: Jasper Rose
Reports,
JasperServer
Caching
Solutions:
Oracle
Coherence,
JBOSS Cache
Rational
GUI: jQuery
15 - Infosys BigDataEdge™ serves its customers in
‘Mortgage and Online Credit Applications’



Infosys BigDataEdge™ serves its customers by delivering ‘Mortgage and Online Credit
applications using its Big Data technologies.
Infosys BigDataEdge™ has delivered Big Data projects involving,
o Mortgages, Derivatives, Credit Card, Cable and Automotive applications
o Enhancements to Banking Portals for Mortgage and Refinance applications.
Infosys BigDataEdge™ is mapping the Business Processes associated with mortgage and
refinance lending products from origination through to loan servicing to ensure that
processes are in compliance, legal constraints and meet with new Financial Reform
legislation and business rules.
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Sales Intelligence™ Report
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

“Everything about Customers”.
Infosys BigDataEdge™ deploys JAD sessions with sales teams to capture process flow
diagrams, business and functional requirements and translate the requirements into
functional IT functional specs documents.
Project delivery from Infosys Office Location: 13777 Ballantyne, Corporate Pl, Suite 250,
Charlotte, NC 28277; Phone:+1 704 972 0320; Fax:+1 704 972 0311
Infosys BigdataEdge™ – Global
Services IT Outsourcing Intelligence
Infosys BigDataEdge™ serves Fidelity Investments Company in project
‘Sentiment Analysis’
Infosys is creating a PoC on BigDataEdge for Fidelity Investments Company, with the aim to
perform ‘Sentiment Analysis’ to judge whether the customers are satisfied or dissatisfied
with the services provided by Fidelity.
Hive
Pig
Hadoop
Backbone.js
Ruby
Rails
JavaScript




on Core Java
Operating Systems: Windows, Mongo DB
Linux
Web Technologies: Web/App
Server:
Apache Jquery
HTML, CSS
Tomcat Web Server, Nginx
Project Onsite Location: 82 Devonshire Street Boston, MA 02109, USA
Project Offshore Location: Bangalore, India
Project Start: July 2012
Project End: Infosys BigDataEdge™ product implementation is in fast progress
Fidelity Investments, USA:


Fidelity Investments’ IT Team has developed multiple applications with Netezza.
Fidelity Investments’ have created a Java wrapper to pass SQL statements to Netezza.
Data Movement and ETL:
o Fidelity Investments’ IT Team is developing scripts to load large quantities of
data into Netezza along with scripts to extract and load aggregated results into
ODS databases.
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Sales Intelligence™ Report
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o Fidelity Investments’ IT Team is developing workflows with Informatica to
migrate data between databases. Fidelity Investments’ IT Team has
implemented its customized Fidelity’s ETL Framework which governed how to
manage data from the feed file up to and including moving aggregated data to
the final table.
o Logical Data Modeling – Fidelity Investments’ IT Team is creating objects to feed
data from staging tables into final tables via stored procedures, triggers and
queues utilizing.
About Fidelity Investment’s Database Engineering Practice:

Fidelity Investment has bootstrapped an engineering discipline within the Fidelity
Institutional business unit to bridge the technical gap between architectural
requirements and operational implementation and support.
 Fidelity Investment implemented a 50TB data warehouse using Oracle Exadata and IBM
Netezza hardware.
About Fidelity’s Personal and Workplace Investing (PWI) Division – IT Strategy

Fidelity’s Personal and Workplace Investing (PWI) Division is
currently managing application and IT infrastructure – optimizing performance and
capacity for the Fidelity’s Health and Welfare portals and Fidelity.com applications
 Fidelity’s Personal and Workplace Investing (PWI) Division’s infrastructure program is
delivering Fidelity’s Health & Welfare annual enrollment program (1million + online participants)
 Fidelity’s Personal and Workplace Investing (PWI) Division initiating for Data Center
consolidation, Virtual Data Center build outs, Infrastructure restacking (moving Solaris
to Linux, Oracle R12 & 11G upgrades and IBM P770 platform migration and P2V
migration)
 Fidelity’s Personal and Workplace Investing (PWI) Division is developing and
delivering next generation contact center strategy and PoC, a cloud based SAS model Integrated with existing Fidelity’s telephony, desktop and
CRM infrastructure supporting 20 million+ Fidelity’s customers.
Java, Oracle PL/SQL, C, DATABASES: Oracle 9i, PLATFORMS:
UNIX
C++, Unix Scripting, SQL, 10g, 11g, 12g, Exadata; [Solaris, AIX], Linux, DB2
HTML, XML
Sybase 12 & 15; Sybase IQ; z/OS, Microsoft Windows
SQL*Server; DB2 v8 & v9
on z/OS; Netezza
Greenplum PoC
BYO appliance
NoSQL
Hadoop
MYSQL
Qlikview
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Sales Intelligence™ Report
Infosys BigDataEdge™
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About Fidelity Investment’s Data Architecture Practice:



Fidelity Investment’s Data Architecture team is driving the data strategy
for Fidelity’s Personal & Workplace Investing (PWI) division. This includes Data
Governance, Metadata, Data Movement (ETL), Data Modeling, Big Data, Data
Architecture Frameworks (Staging to EDW to Data Marts and OLAP), Data
Warehousing, Business Intelligence, Master Data Management and Data Quality for all
major PWI Technology Portfolio initiatives including SOA data strategy.
Fidelity Investment’s Data Architecture team drives and develops the Data Strategy
roadmap to align with their business requirements.
Fidelity Investment’s three Data architecture team are:
o General Data Architecture
o Data Movement (ETL) and Data Modeling
o Data Governance, Master Data Management and Metadata
Fidelity Investment’s Data Movement in Enterprise Platforms - Data Architecture
Practice:
Hadoop: Reducing Business Latency in Fidelity Investment
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Sales Intelligence™ Report
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Fidelity Investment uses Hadoop Based ETL Platform - Data Architecture Practice:
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Sales Intelligence™ Report
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“Everything about Customers”.
ETL Reference Architecture used in Fidelity Investment - Data Architecture Practice:
Operational Data Refinery - Data Architecture Practice:
Collect data and apply a known algorithm to it in trusted operational process
 Capture: Capture all data
 Process: Parse, cleanse, apply structure & transform
 Exchange: Push to existing data warehouse for use with existing analytic tools
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Big Data Exploration & Visualization - Data Architecture Practice:
Collect data and perform iterative investigation for value
 Exchange: Explore and visualize with analytics tools supporting Hadoop
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“Everything about Customers”.
Application Enrichment - Data Architecture Practice:
Collect data, analyze and present salient results for online apps
 Exchange: Incorporate data directly into applications
Data Ingestion: Fidelity Investments
Ingestion into Hadoop can be categorized into the following types of data sources:
 RDBMS
o Direct SQL
 Raw Files
o RDBMS export files (delimited format)
o Large unstructured data sets
o Media files, other binary files
 Event-driven
o Syslog
o CDR
o MOM (MQ, Tibco, JMS)
o DB Trigger events
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Tools for Data Ingestion – considered in Fidelity Investments
Data Source Type
Extract & Load
Description
RDBMS
(SQL)
Sources Sqoop, Talend
Connectors
Bidirectional SQL to Hadoop
connectors for common data
sources
Event-driven
Flume
Streaming event data into
HDFS
Queues/Messages
WebHDFS,
Flume
RESTful API to Write/Read
data
into HDFS. Flume has JMS
Source to extract from
Raw Files
WebHDFS, Java
Write batched files to HDFS
DFS Client,
RDBMS exports
Infosys BigDataEdge™ serves Walmart Stores using largest ‘Online
Transformation Program’


Project deals with developing historical database using Hadoop ecosystem. Walmart
maintains last 10 years of data spread across 4500 pharmacy stores across USA and
Canada. Aim of the project is to centralize the source of data for audit / legal report
generation using historical database which otherwise are generated from multiple
sources.
Infosys BigDataEdge™ operation for the Bank: Infosys BigDataEdge™ team is
designing Big Data applications using Hadoop and its family of products.
Hadoop
- Hive
Flume
Source
Systems:
Legacy
HDFS
systems
(RDBMS and XML web logs)
MapReduce




Sqoop
Platform:
Ubuntu
Target Systems: HDFS
Project Onsite Location: USA
Project Offshore Location: Hyderabad
Project Start: February 2013
Project End: Duirng 2014 - Infosys BigDataEdge™ implementation is in fast progress
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Sales Intelligence™ Report
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Infosys BigDataEdge™ - Cloud Computing COE






Cloud Computing COE is Infosys Labs’s research wing of Infosys Ltd that uses the
following,
o Open source Bigdata
o NoSQL databases and search technologies
o Virtualization Platforms
Infosys performs implemented of Bigdata Content Repository solution over Hadoop and
Hbase and provides full text search using Apache Solr.
Infosys is developing private cloud solution known as “Infosys Cloud Dynamic Resource
Management (iCDReM)” during past six months.
Infosys has developed network provision and management modules for iCDReM in
VMware and Citrix XenServer virtualization environments, using VMware VI and
XenServer Java APIs.
Infosys implemented iCDReM service instance VMs backup-restore modules for
VMware environment.
Infosys has implemented geo-coordinate based search solution for its client using
Apache Solr and MongoDB.
Infosys BigDataEdge™ serves UL by performing Test Report Analysis



Infosys BigDataEdge received the quality test reports conducted by UL
(http://www.ul.com).
Infosys BigDataEdge team is required to find the alternatives available for the same
product having equal or more quality.
Infosys BigDataEdge performs Content Extraction from the test reports using GATE and
JAPE. Then, Infosys BigDataEdge, created ontology, processed the RDF and obtained the
output.
Hadoop
/ Fuseki
RDF
SPARQL
MapReduce
Apache Jena SDB GATE




JAPE
Java
Project Onsite Location: USA
Project Offshore Location: Trivandrum, India
Project Start: July 2013
Project End: During 2014 - Infosys BigDataEdge™ product implementation is in fast
progress
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Sales Intelligence™ Report
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Infosys BigDataEdge™ serves AMP, USA by performing Customer
Churn Analysis


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Infosys BigDataEdge is required to determine the reason for the Customer Churn
happened to the company by analyzing previous Call Logs and Transactions.
Infosys BigDataEdge is suggesting the optimal solution for enhancing the business by
determining the best way to interact with the customers. These project activities are
done by analyzing the call logs, transaction logs and other raw details available with the
AMP, USA.
Infosys BigDataEdge is focused on Building and executing the logic for the getting the
optimal solution. Infosys BigDataEdge has created the Hadoop cluster for processing
the data and executed performance tuning practices.
Hadoop MapReduce Hive R Rhipe Java
Project Onsite Location: USA
Project Offshore Location: Trivandrum, India
Project Start: February 2013
Project End: During 2014
Infosys BigDataEdge™ serves T-Mobile in project ‘T-Mobile Big Data
Analytics’
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T-mobile Big Data Analytics includes Extraction, Transformation and Loading data into
Big Data Systems like Hadoop / Hbase.
Data Source: Data comes from various sources like Application logs, Application
Messages, Application Databases in different format.
Project Objective: To extract, transform and load data to Hadoop based systems and
perform analytics on it like CDR analytics, Bill Payment Fraud Detection, Customer
insights etc.
Hadoop
Hive
Pig
Map Reduce
Apache Drill
Apache Whirr
Apache Flume
Oozie
Cassandra
MongoDB
Hbase
Amazon DynamoDB
Ruby on Rails
JAVA
Spring JAVA
C
Project Onsite Location: USA
Project Offshore Location: Pune, India
Project Start: March 2013
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Project End: During 2014 - Infosys BigDataEdge™ product implementation is in fast
progress
Infosys BigDataEdge™ serves Australian Bank using ‘Online
Transformation Program’
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The Australian Bank required performing Analytics. Infosys BigDataEdge™ has enabled
the Australian Bank in reading and analyzing past 5 years of historical data and
generates legal reports. Australian Bank is enabled in answering products relevant data,
which assists them in analyzing customer's interests and improvements necessary to
the existing system.
 Infosys BigDataEdge™ Operation for the Australian Bank: Infosys BigDataEdge™ team is
designing Big Data applications using Hadoop and its family of products.
Hadoop
- MapReduce
Hive
Sqoop
HDFS
Flume
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Platform:
Ubuntu
Legacy systems
Target Systems: HDFS
(RDBMS and XML web logs)
Project Onsite Location: Australia
Project Offshore Location: Hyderabad, India
Project Start: May 2013
Project End: During 2014 - Infosys BigDataEdge™ Implementation is in fast progress
Infosys BigDataEdge™ - India
Operations
Infosys BigDataEdge™ - Cloud and Big Data Practices from Pune, India
BigDataEdge™ PoC: Infosys creates multiple PoCs using the BigDataEdge™ product and
demonstrating them to existing customers.
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Retail PoC for Infosys customer: Most of the BigDataEdge™ PoC are relating to
customers based on various criteria and finding their consolidated financial exposure,
fraud detection using a machine learning algorithm, sentiment analysis from Twitter
feeds, indexing a document repository and searching through it, analyzing customer
data from multiple sources and suggesting the next best action to the business.
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Telecom PoC for Infosys customer: Infosys BigDataEdge™ created and submitted ‘Big
Data Analytics PoC’ with highlights on production solution development. The details of
this PoC are as follows,
o Data Extraction from XML logs and loading into Hive, aggregate, load to HBase,
REST implementation to access this data from HBase
o Relating data from multiple sources and aggregating it to generate Tableau
reports
o Customer Clickstream traversal and related analytics using Web Logs
o Funneling customers for targeting advertisements and promotions using Web
Logs, Network Logs and Internal Warehouse Data.
Currently, Infosys BigDataEdge™ is creating PoC for most of its telecom customers in
USA.
Infosys BigDataEdge™ product serves a Telecom customer
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Infosys BigDataEdge™ creates multiple PoCs for performing ETL from Web logs,
traditional databases, application logs, CDR, etc. into Hadoop and NoSQL databases and
performing analytics on it.
Infosys BigDataEdge™ prepares Production Solution developed to extract data from
web logs, network logs and traditional database system; relate this data and analyze it
to provide insights to the customer regarding the market segmentation of their
products and services, marketing spend efficiency and some more for targeting their
advertisements and promotional campaigns better.
Infosys BigDataEdge™ designs ingestion adapters to perform ETL from web logs and
traditional databases into Hadoop file system.
Infosys is writing Java code and Hive scripts for relating and analyzing data
Infosys is creating reports using Tableau and HTML+JQuery and using Oozie for
automation
CoreJava Hadoop
– MapReduce Hive
Oozie
HDFS
Tableau
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HTML
Javascript
JQuery
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Project Onsite Location: USA
Project Offshore Location: Pune
Project Start: February 2013
Project End: During 2014 - Infosys BigDataEdge™ Implementation is in fast progress
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Business Operations with BigDataEdge™ product:
a. Infosys BigDataEdge™ is building Roadmap using BigDataEdge™ product
b. Infosys BigDataEdge™ is identify features like Adapters, Components, Algorithms
c. Infosys BigDataEdge™ is extensively performing 'Competition Analysis’ on Big Data
Practice.
d. Infosys BigDataEdge™ executes all its Proof of Concept process and forms its team as
per customized project deliverables for its customers, in Big Data Practice.
e. Infosys BigDataEdge™ creates Use case conceptualization
f. Infosys BigDataEdge™ provides inputs to conceptualize Pricing Models
g. Infosys BigDataEdge™ prepares ‘General Acceptance Audit’
h. Infosys BigDataEdge™ is intensively identifying Business Value for each and every client
leveraging Statistical algorithms used in Big Data Technologies to deliver descriptive,
diagnostic, predictive and prescriptive modeling.
i. During March 2013, Infosys BigDataEdge™ has developed product on “Customer
Service Analytics (CSRi)”, where its PoC is created with key Ratios computed using
Statistics.
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About Sales Intellect Company
Sales Intellect Company is a Sales Intelligence and Business Research Company that
provides ‘Sales Intelligence™’ company reports derived from Big Data/Data Sciences. Sales
Intellect’s Sales Intelligence™ portal is a retail E-Commerce web-based application that
provides a well-structured repository of 5 million Sales Intelligence™ company research
reports derived from Big Data / Data Sciences, and altogether has 1 Billion Sales
Intelligence™ company reports, across all Industry verticals and domains from all
geographical regions. Sales Intellect serves through Sales Solutions, Solution Sales, Sales
Services and Mobile Sales Intelligence™, for several leading Companies.
Sales Intellect prepare Sales Intelligence™ for Customer Sales Team to increase Sales using
16 Sales Intelligence™ like Business Model, Business Architecture, Business Strategy &
Planning, Business Initiatives and Opportunity Evaluation, Technology Intelligence, Project
Management Intelligence, Product Intelligence, Global Services Projects, Information
Technology Intelligence, Information Technology Roadmap, Information Technology
Strategy, HR Intelligence, Financial Analysis and Marketing Intelligence.
Awards: Sales Intellect Company has won awards like Red Herring Top 100 Asia finalist
2013, Stevie® Awards for Sales & Customer Service 2013, Rockstar of the Stevie® Awards
2013 and NASSCOM IP4Biz Award 2012 in INTEROP Mumbai 2012 and many awards /
honours like Business Judge in 2013 Stevie Award for 'Women in Business', USA; Business
Judge in 2013 Stevie Award for 'International Business Award', USA; Stevie Rockstar Award
- Business Judge for 'Sales and Customer Service Award’ 2013, CII – Confederation of Indian
Industry 2004, etc.
Quick facts
Sales Intelligence™ + Marketing Intelligence + Business Research + Human Intelligence,
using Big Data = Sales Intellect Company.
‘Everything about Customers’
Prepare: Sales Intellect’s Sales Intelligence™ company reports
For all Industry Verticals | Domains | Countries | Regions
Mission: To provide Complete, Accurate, Reliability, and Timely Sales Intelligence.
Vision: To increase Sales/Revenue of Companies using Sales Intelligence™
1 Product cost: between US$ 10,000 to US$ 8
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“Everything about Customers”.
Trademarks: Sales Intelligence™
Headquarters: Chennai, India
Established: 12th April 2010
Contact Details
Name: Mr. Churchill Dass Prince, Founder & CEO
E-mail: churchill@salesintellect.net
Corporate Headquarters: 2/86, 1st floor, Cisons Complex, Montieth Road, Chennai 600008, Tamil
Nadu, India
Mobile: +91-766-767-7775 and +91-766-776-6777
Phone: +91-44-28540100
USA Office Address: 701, Jackson Road, Silver Spring, Maryland, 20904, MD, USA
Web-site: www.salesintellect.co & www.salesintellect.net
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