Course Name: Business Intelligence
Year
: 2009
Business Intelligence Environment
9th Meeting
Source of this Material
(2).
Loshin, David (2003). Business Intelligence:
The Savvy Manager’s Guide. Chapter 4
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The Business Case
Being able to effectively plan the implementation of a BI program requires an
understanding of the high-level building block that make up the program.
Without a fundamental road map of what parts are needed, its is unlikely that
your project will succeed.
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The BI Process
The process of creating actionable knowledge is based on more that just
sloshing data between different points in an organization.
• Business Process Modeling and Analytic Needs Assessment
Business process modeling and information flow modeling is the is the study of what
information a business needs and how that information moves from its sources to its
destination.
•
Information Repository Management
The keystone of a BI program is the centralized enterprise data repository. Data
warehouse is a centralized, nonvolatile repository of enterprise information, gathered
and integrated from multiple sources and placed in a data model that is suitable for
analytical process.
•
Business Rules
Any operational or analytical process that is involved in running or improving a
business is driven by a set of business rules. Business rules expose the logical
abstraction of a business process, and the collection of a process’s business rules
comprise part of its metadata.
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The BI Process (cont…)
•
Information Integration
Information integration is the process of accumulating the data from the disparate
sources that will used to populate the main enterprise data repository. Information
integration consist of a number of components, including:
 Data profiling
 Data Quality and Validation
 Data Transformation and Integration
•
Knowledge Creation
The knowledge creation activity can be a directed one, through the use of specific
business analytics, or an undirected one, driven by an automated knowledge discovery
process.
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System Infrastructure
There are three logical system platforms that are required for a BI program. Those
systems are:
 The Data Staging Area
 The Data Warehouse
 The Analytical Environment
The components of the infrastructure needed to support these activities:
• Hardware
The hardware requirements for the three virtual components differ bases on the activity
that is to be performed.
•
Relational Database Management System
The BI environment relies on the use of a relational database management system
(RDBMS) for information management.
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System Infrastructure (cont…)
•
Data Management/Storage Management
When large amounts of data are being manipulated, there must be an underlying data
storage management platform that can support the kinds of activities performed in a BI
environment.
•
Application Servers
BI analytics are likely to have been built using a three-tier architecture, in which the base
data server act as the first tier, the data consumer’s desktop acts as the third tier, and
separate application servers act as the middle tier. The choice of the type, size, and
number of applications servers depends on the kinds of analytics.
•
System/Network Management
Service levels may depend on operating a healthy system, which in turn requires staff
and tools for system and network management.
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Information Access, Delivery, and Analysis
BI program cannot succeed without providing easy but secure access to the data
required for analysis. The aspect of information access and analysis:
• Information Delivery
This area includes the ability to manage the creation and dissemination of information
and knowledge throughout the enterprise. This includes:
 Query and Report Management
 General Content Management
 Document Management
 Publish/Subscribe Mechanics
 Information Packaging and Delivery
•
Security
A security framework incorporates:
 Hardware and software firewalls for managing network traffic.
 Encryption of information, both on the server side and on client side.
 Intrusion protection, to prevent outsiders from breaking into the system.
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Information Access, Delivery, and Analysis (cont…)
 Policies for managing or restricting client access to specific data sets within
RDBMS.
 Policies for controlling access to data and security for analytical and interface
tools.
•
Portals
A portal usually refers to a configurable Web-based interface that allows a data client to
personalize the presentation of reports, results, and automatically generated triggerbased alerts.
•
Visualization
Visualization can refer to the ability to create two-and three-dimensional views of numeric
data, which ca ease the process of looking for unusual data or outliers within a data set.
•
Query and Reporting
The kinds of reporting that would be expected in a BI environment include the following:
 Standard Reporting
 Structured Queries
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Information Access, Delivery, and Analysis (cont…)
 Ad Hoc Query Systems
 Exception-based Reporting
•
Online Analytical Processing
Online Analytical Processing (OLAP) is both a process of viewing comparative metrics
via a multidimensional analysis of data and the infrastructure to support that process.
•
Text Analysis
The most recognizable form of text analysis tool is an indexing application that then
allows for indexed searching.
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Services
The services external suppliers can provide:
• Architecture and Integration
When assembling a data warehouse and BI architecture, it may be beneficial to bring in
consultants who have worked on previous successful BI projects to help architect the
overall solution.
•
Migration
It is useful to migrate older systems into more modern systems that are more amenable
to data extraction and manipulation.
•
Analytical Service Providers
Analytical service providers is a company that can provide any or all of the components
of the BI process, ranging from data cleansing and integration services all the way to
completely hosted data warehouse and analytical solutions.
• Training
Training should focus on all aspects of the BI program, including data warehouse
architecture, data integration, data marts, operational data stores, as well as the tools
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Services (cont…)
that are used, such as data extraction and transformation, OLAP systems, and front-end
data consumer analysis tools.
•
Strategic Management
It may be beneficial to engage external consultants familiar with your industry and with
the analytical applications that have been built to support your industry.
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Management Issue
The most critical management issue to be aware of at this point is that although
the conceptual structure of a BI program is relatively straight-forward, there are a
lot of piece that need to properly fall into place for the program to be successful.
Make sure that the business partners are incorporated into the high-level
architecture process as a way of vetting that design for their specific needs.
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End of Slide
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