Microsoft's Business Intelligence Strategy John Eng Lead Product

advertisement
Microsoft SQL Server
Business Intelligence Overview
Microsoft’s Business Intelligence Strategy
John Eng
Lead Product Manager
Microsoft Corporation
Agenda
> Trends in Business Intelligence
> Microsoft’s BI Strategy
> Q&A
The Business Problem
>
>
>
Companies are under-leveraging
their information and people assets
Employees do not have access to a
free flow of information
Decision-makers cannot react in real
time to changing needs
Analysis Paralysis
>
>
>
>
I have too much
data and not
enough information
Why don’t all of my reports
tie together?
Management needs
answers yesterday
Who has time
for analysis?
Today’s World – Silos of information
> Enterprise Resource Planning
(ERP)
> Customer Relationship
Management (CRM)
Financial/
Accounting
> Web Clickstream data
Call
Center
Marketing
Campaign
Mgmt
> Supply Chain Management
(SCM)
CRM
and
eCRM
Internet
Enterprise
Data
Warehouse
Inventory
Procure
ment
> Internet Commerce
Intelligence is data with relevance and context
HR
Business Intelligence Market Trends
Competitive and Declining
Business Conditions
Adoption of Enabling Technologies
•Web services
•Global competition
•XML / SOAP / HTTP
•Slowing economy
•Increased productivity/
focus on profits
•Top Line Growth /
Business Agility
•Mobile Devices
BI
Advantage
Internet Impact
•Huge data volumes (CRM, ERP, SCM)
•ASP / Hosting
•Bandwidth
Standardization of Enterprise
Applications
•Partner and customer Interaction
•KPI’s and schemas for
CRM, ERP, SCM,
clickstream applications
•New sources of data
•Open and Std APIs
•Real-time information / access via internet
DEMAND DRIVERS
ENABLING FACTORS
BI for the Masses
> Strategic value of
Execs
Analysts
Operations
decisions increases
towards the center
“I’ve got >
everything
hereof
at my
Number
fingertips; I find it’s made my
decisions increases
life a lot easier...and made my
from with
the
customers soaway
much happier
the customercenter
service”
- Andrea McGregor-Dawson,
Relationship Manager, ASB
Bank
Where should we be?
> Empower employees to make great decisions
> They’re the “face” of the company to the
>
>
customer
Need the power to take action any time, any
where, from any device
The company with the best (equipped)
employees wins
> Provide tools to end users to access data across
the enterprise
Pervasive Business Intelligence
How we deliver on the premise
Abilities
>
>
>
>
BI Tools
Scale – large to small
Security
Interoperability
Agilities
>
>
>
>
>
Embedded analytics
Applications
Devices
Web services
Real time/closed loop
TCO
>
>
>
>
Comprehensive BI platform
Open API
Manageability / Self tuning
Best of Breed partners
Microsoft Business Intelligence strategy
Comprehensive
BI Platform
Best of Breed
Interoperability
Fast Time to
Market
Integrated RDBMS, ETL, OLAP,
Data Mining, Meta Data, Mgt tools
Data Warehousing Alliance and
Framework, Open Data Access
APIs, Data Source Connectivity
Easy to Build and Manage,
Lowest TCO
Pervasive Business Intelligence
MICROSOFT BI MOMENTUM
Business Intelligence Platforms Magic Quadrant
> OLAP Market $3.5B
> OLAP Report
> #1 in OLAP
> Microsoft was the clear leader
in 2001
> Fastest growing OLAP server in
history
> Industry Publications
> Intelligent Enterprise –
#2 - Top 12 most influential
companies enabling Enterprises
> DM Review DM 100 – #6
COMPREHENSIVE BI OFFERING
>
>
SQL Server 2000
> Complete platform with scalable RDBMS,
including:

Data Transformation Services

Analysis Services (OLAP and Data
Mining)

Metadata Services

English Query
Office XP
> Excel – built-in PivotTable Service
> Web components for custom development
> SharePoint
> Microsoft Data Analyzer
COMPREHENSIVE OFFERING
SOURCE
SYSTEMS
(LEGACY)
EXTRACTION
TRANSFORM
LOAD
MANAGE
DATA WAREHOUSE
AND / OR DATA MARTS
END USER ACCESS
AND ANALYSIS
PRESENTATION / OLAP
OLE DB
Data Warehouse or
Data Mart
(dimensional,
subject oriented)
OLAP including
HOLAP, ROLAP,
MOLAP query services;
may store atomic data;
may be frequently
refreshed
XML/A
Ad-hoc Query
Tools
Reporting
Custom Apps
and
Operational Data
Store
Data Mining Models
forecasting; clustering;
scoring
OLE DB
Analytical
Apps
XML/A
Web Services
and
Mobile Apps
COMPREHENSIVE OFFERING
SOURCE
SYSTEMS
(LEGACY)
SQL
Server
EXTRACTION
TRANSFORM
LOAD
MANAGE
DATA WAREHOUSE
AND / OR DATA MARTS
DTS
DTS
Oracle
DTS
and
OLE DB
OLAP
including
SQL Server
OLAP
including
HOLAP,
ROLAP,
HOLAP, Services
ROLAP,
Analysis
MOLAP
queryquery
services;
MOLAP
(OLAP)
may
store
atomic
data;
services; may store
may
be
frequently
atomic data;
refreshed
may be
frequently
refreshed
Server or
DataSQL
Warehouse
Data Mart
(dimensional,
subject oriented)
END USER ACCESS
AND ANALYSIS
PRESENTATION / OLAP
XML/A
DTS
OLE DB
IBM
DTS / HIS
Third
Party
Reporting
(DWA
Q&R)
Visual
CustomStudio
Apps
Operational Data
Store
OLEDB
Excel
/
Ad-hoc
Query
MSDA
Tools / / IE
Sharepoint
DataSQL
Mining
Models
Server
Data
Mining
Models
forecasting;
clustering;
forecasting;
Analysis
Services
scoring
clustering;
scoring
(Data Mining)
XML/A
Data
Analytical
Warehousing
Apps
Alliance
Web Services
Visual
Studio
and
Mobile Apps
Appsco Software Limited
Arcplan Inc
Ardent Software Inc
Artech
Baan Company
Best Software
Broadbase Software Inc
Business Objects
ChangePoint
Citicorp ITI Limited
Cizer Software Corporation
Cognos
Comshare
Data Mirror
Data Watch
Decisionism
Decision Support Panel
EMS Plc
Epicor
FRx Software Corp
Harmony
Infinium Software
Informatica
Information Builders
Knosys
Lawson
Manugistics
Maximal Innovative Intelligence
MetaEdge
MIS Technologies Gmbh
NetAcumen
OLAP @ Work Inc
Polyvista Software
Portola Dimensional
Revelwood Inc
Sagent Technology
Seagate Software
Silvon Software
SRC Software Inc
Targit A/S
Top Tier
Visual Insights
Data Warehousing Alliance Members
Market Momentum
Customer Examples
> ASB Bank – Largest Bank in New Zealand
> Oracle switcher; delivers customer
behavior/profitability info to 130 branch offices
> http://www.microsoft.com/sql/productinfo/ASBBank.htm
> AT&T – Growth Markets
> 1 TB Sales DB – cross-sells; 300% ROI in 6
months
> http://www.microsoft.com/servers/net/ATTSQL.htm
> Disco S.A. – leading chain of Argentine supermarkets
> 900 GB DB/DW for frequent shoppers club. Data
Mining for targeting promotions – deployed < 1
month
> http://www.microsoft.com/servers/net/disco.htm
> Inmar – coupon promotion analysis
> Analyzes 5 Billion coupon transactions – legacy
AS/400 data source
> http://www.microsoft.com/servers/net/InmarEnterprises.htm
AT&T Growth Markets
>
>
$8 billion operator of world’s largest digital wireless network
Business Problem – need to improve their understanding of key market
dynamics, plan more effective market penetration strategies and increase
their business growth rate
> Increase customer focus and enable growth
> Reduce Costs without Impacting Quality
> Support People for Success
>
>
Strategy - Focus on Key Metrics
> Customer Churn, Product Affinity / Customer Demographics
> Uptime of network & services
> Response time to requests & problems
Solution - Implemented ProClarity, SQL Server, Digital Dashboard
and Map Info plug-in
> Users
• 500 AT&T business analysts, sales professionals
and product managers
• 11,000 field sales representatives via a Webbrowser solution
Customized ProClarity
(500 Analysts/Mgr.s)
Digital Dashboard
(350 Managers)
> Results
• 300% ROI in 6 months
Web Site
(11,000 Sales Professionals)
Data Transformation Services
> A generalized facility for copying and transforming data
between data sources
Source
OLE DB
ODBC
Fixed Field
ASCII Delimited
X Forms
ActiveX Script
Copy
Trim String
…
Custom
DTS Data Pump
In
Out
Destination
OLE DB
ODBC
Fixed Field
ASCII Delimited
Repl. Publication
Connectivity
>
>
Minimum interface/dbpropset support
>7.0 – OLE DB 2.1
>2000 – OLE DB 2.6
Existing OLE DB Providers
>Microsoft(MDAC)
• SQL Server 6.5/7.0/8.0, Oracle 7/8, ODBC,
WebDAV, Active Directory
>Microsoft(SQL Server)
• Text Files, DTS Packages, Replication DTS,
JET(Access, Excel, dBase, Paradox, …)
>Microsoft(Other)
• DB2, VSAM, Exchange 2000, Project
>Merant
• Oracle(7, 8i-2), Informix, Sybase, VSAM, XML
>SAS
• Over 30 different mainframe environments
OLAP Capabilities
>Analysis Services for SQL Server
> Powerful, easy-to-use analysis
>Integration with
> Windows NT®, SQL Server, Office, third-party products
> Any OLE DB data source
>Scalable from desktop to enterprise
>Flexible architecture – MOLAP, HOLAP, ROLAP
Data Mining Services
> Reconcile
> Model-driven analysis (OLAP) with
> Data-driven analysis (Data Mining)
> Two core algorithms
> Clustering (EM)
> Classification (decision trees)
> OLE DB for data mining
> Tight integration with SQL Server
> Developed in partnership with Microsoft
Research
Data Mining Services
> Matching individuals to populations
> Drive a marketing campaign
> Understand different customer profiles to fine-tune
a product or service
Separate strategies
per cluster
Data Mining Services
> Understand and predict an attribute of an
individual using a decision tree
> Predict credit risk
> Predict buying habits
High income,
married
Income
Good (2)
Poor (3)
High
Good (2)
Poor (1)
Married
Good (2)
Poor (0)
Low
Good (0)
Poor (2)
Not married
Good (0)
Poor (1)
Microsoft Office XP
> OLE DB for OLAP in Excel
PivotTables
> Office Web Components
for browser-based analysis
> Access 2000 compatibility
with SQL Server
Microsoft Data Analyzer
> Graphical Analysis and Data
Visualization
> Provides intuitive views of
data to identify opportunities,
trends and issues
> Easily Publish and Share Data
> Extends the power of SQL
Server Analysis Services
RELATIONAL DATABASE SHARES
Unix + Windows
Windows
Sybase 2%
Other
3%
Sybase Other
Informix 4% 6%
4%
Informix 1%
IBM
19%
Microsoft
38%
2000 Revenues
Data Source: Gartner Dataquest
Oracle
37%
$2.4B Total
40% Growth
IBM
16%
Oracle
53%
Microsoft
17%
$5.4B Total
24% Growth
For More Information
> Resources
> http://www.microsoft.com/business/bi
> http://www.microsoft.com/sql/techinfo/BI/default.asp
> http://www.microsoft.com/sql/evaluation/compare/default.asp
Download