About Business Intelligence, Why BI, Technologies Supporting BI,Examples of BI Careers, BI Skills and Knowledge, Sample Role, Microsoft BI Platform, SQL Server Database Management, SQL server Integration Services, SQL server Analysis Services, SQL Server Reporting Services, Microsoft Excel, SharePoint Server

1. INFORMATION TECHNOLOGYINFORMATION TECHNOLOGY

2. IT-enabled business decision making based on
simple to complex data analysis processes
Database development and administration
Data mining
Data queries and report writing
Data analytics and simulations
Benchmarking of business performance
Dashboards
Decision support systems
WHAT IS BUSINESS INTELLIGENCE (BI)?WHAT IS BUSINESS INTELLIGENCE (BI)?

3. Make more informed business decisions:
Competitive and location analysis
Customer behavior analysis
Targeted marketing and sales strategies
Business scenarios and forecasting
Business service management
Business planning and operation optimization
Financial management and compliance
WHY BI?WHY BI?

4.  Through 2012, more than 35 % of the top 5,000 global
companies will regularly fail to make insightful decisions
about significant changes in their business and markets
 By 2012, business units will control at least 40% of the total
budget for BI
 By 2010, 20% of organizations will have an industry-specific
analytic application delivered via software as a service (SaaS)
as a standard component of their BI portfolio
GARTNER REVEALS FIVE BUSINESS INTELLIGENCEGARTNER REVEALS FIVE BUSINESS INTELLIGENCE
PREDICTION FOR 2009 & BEYONDPREDICTION FOR 2009 & BEYOND

5.  In 2009, collaborative decision making will emerge as a new
product category that combines social software with BI
Platform capabilities
 By 2012, one-third of analytic applications applied to business
processes will be delivered through coarse-grained
application mashups
Gartner Research, Jan 2009, http
://www.gartner.com/it/page.jsp?id=856714
GARTNER REVEALS FIVE BUSINESS INTELLIGENCEGARTNER REVEALS FIVE BUSINESS INTELLIGENCE
PREDICTION FOR 2009 & BEYONDPREDICTION FOR 2009 & BEYOND

6. Database systems and database integration
Data warehousing, data stores and data marts
Enterprise resource planning (ERP) systems
Query and report writing technologies
Data mining and analytics tools
Decision support systems
Customer relation management software
Product lifecycle and supply chain management systems
TECHNOLOGIES SUPPORTING BITECHNOLOGIES SUPPORTING BI

7. BI careers cross over all industries:
BI solution architects and integration specialists
Business and BI analysts
BI application developers and testers
Data warehouse specialists
Database analysts, developers and testers
Database support specialists
EXAMPLES OF BI CAREERSEXAMPLES OF BI CAREERS

8. Database theory and practice
Data mining and relational report writing
Enterprise data and information flow
Information management and regulatory compliance
Analytical processing and decision making
Data presentation and visualization
BI technologies and systems
Value chain and customer service management
Business process analysis and design
Transaction processing systems
Management information systems
BI SKILL AND KNOWLEDGE CLUSTERSBI SKILL AND KNOWLEDGE CLUSTERS

9. Knowledge of database systems and data warehousing
technologies
Ability to manage database system integration, implementation
and testing
Ability to manage relational databases and create complex reports
Knowledge and ability to implement data and information
policies, security requirements, and state and federal regulations
CRITICAL TECHNOLOGY KNOWLEDGE & SKILLSCRITICAL TECHNOLOGY KNOWLEDGE & SKILLS

10. Understanding of the flow of information throughout the
organization
Ability to effectively communicate with and get support from
technology and business specialists
Ability to understand the use of data and information in each
organizational units
Ability to present data in a user-centric framework
Ability to understand the decision making process and to focus on
business objectives
Ability to train business users in information management and
interpretation
CRITICAL BUSINESS AND CUSTOMER SKILLS & KNOWLDGECRITICAL BUSINESS AND CUSTOMER SKILLS & KNOWLDGE

11. For rapid analysis and display of large amounts of data:
On-Line Analytical Processing (OLAP)
Multidimensional/ hyper cubes
OLAP operations: Slice, Dice, Drill Down/Up, Roll-up, Pivot
OLAP vendors and products
MULTIDIMENSIONAL ANALYSISMULTIDIMENSIONAL ANALYSIS

12. Business Intelligence (BI) Specialist works with business
users to obtain data requirements for new analytic applications,
design conceptual and logical models for the data warehouse
and/or data mart and communicate physical designs to the
database group. The BI specialist also develops processes for
capturing and maintaining metadata from all data warehousing
components.
SAMPLE ROLE: BUSINESS INTELLIGENCE (BI) SPECIALISTSAMPLE ROLE: BUSINESS INTELLIGENCE (BI) SPECIALIST

13. Business Intelligence Developer is responsible for designing and
developing Business Intelligence solutions for the enterprise.
The Developer works on-site at the corporate head quarters. Key
functions include designing, developing, testing, debugging, and
documenting extract, transform, load (ETL) data processes and data
analysis reporting for enterprise-wide data warehouse
implementations.
SAMPLE ROLE: BUSINESS INTELLIGENCE DEVELOPERSAMPLE ROLE: BUSINESS INTELLIGENCE DEVELOPER

14. The Business Intelligence Report Developer is responsible for
developing, deploying and supporting reports, report applications,
data warehouses and business intelligence systems.
Primary responsibilities include creating and automating quality
control processes and methods, providing maintenance and
enhancement of data warehouse reports, creating ad hoc data
warehouse queries, solving data related reporting issues and
documenting all reports created.
The report developer must have experience in user facing roles (e.g.
gathering requirements, establishing project objectives, leading
meetings) and in developing, selecting and conducting user training
as needed.
SAMPLE ROLE:SAMPLE ROLE:
BUSINESS INTELLIGENCE REPORT DEVELOPERBUSINESS INTELLIGENCE REPORT DEVELOPER

15. Data mining is the process of extracting hidden patterns from data.
As more data is gathered, with the amount of data doubling every
three years data mining is becoming an increasingly important tool
to transform this data into information. It is commonly used in a
wide range of profiling practices, such as marketing, surveillance,
fraud detection and scientific discovery.
Dashboards: Typically, information is presented to the manager via
a graphics display called a Dashboard. A BIS (Business Intelligence
System) Dashboard serves the same function as a car’s dashboard.
Specifically, it reports key organizational performance data and
options on a near real time and integrated basis. Dashboard
based business intelligence systems do provide managers with
access to powerful analytical systems and tools in a user friendly
environment.
DEFINITIONSDEFINITIONS

16. Enterprise resource planning (ERP) is a company-wide
computer software system used to manage and coordinate all the
resources, information, and functions of a business from shared
data stores.
Online analytical processing, or OLAP is an approach to quickly
answer multi-dimensional analytical queries. OLAP is part of the
broader category of business intelligence, which also encompasses
relational reporting and data mining. The typical applications of
OLAP are in business reporting for sales, marketing, management
reporting, business process management (BPM), budgeting and
forecasting, financial reporting and similar areas. The term OLAP
was created as a slight modification of the traditional database
term OLTP (Online Transaction Processing)
DEFINITIONSDEFINITIONS

17. Multidimensional/ hyper cubes: A group of data cells arranged
by the dimensions of the data. For example, a spreadsheet
exemplifies a two-dimensional array with the data cells arranged
in rows and columns, each being a dimension. A three-dimensional
array can be visualized as a cube with each dimension forming a
side of the cube, including any slice parallel with that side. Higher
dimensional arrays have no physical metaphor, but they organize
the data in the way users think of their enterprise. Typical
enterprise dimensions are time, measures, products, geographical
regions, sales channels, etc. Synonyms: Multi-dimensional
Structure, Cube, Hypercube
OLAP operations: Slice, Dice, Drill Down/Up, Roll-up, Pivot
See this site for all these definitions:
http://altaplana.com/olap/glossary.html#SLICE AND DICE
DEFINITIONSDEFINITIONS

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MICROSOFT BI PLATFORMMICROSOFT BI PLATFORM

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MICROSOFT BI PLATFORMMICROSOFT BI PLATFORM

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Business Intelligence Platform
SQL Server Relational Database – provides a robust, scalable and
enterprise-ready Data Warehouse platform. Microsoft SQL Server
2005 has improved partitioning, manageability, and query
optimizations to streamline data warehouse operations and
increase performance.
Many Business Solutions and systems currently use this database.
SQL SERVER DATABASE MANAGEMENTSQL SERVER DATABASE MANAGEMENT

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Provides functionality commonly referred to as Extract, Transform,
Load (ETL).
Moves and transforms data between sources and destinations,
regardless of format.
Cleanses data and ensures data integrity.
Integrates heterogeneous data sources.
Business Intelligence Platform
Source: 2007 Microsoft® Office System Business Intelligence Integration, White Paper, February 1, 2007, Anthony T. Mann
SQL SERVER INTEGRATION SERVICESSQL SERVER INTEGRATION SERVICES

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Allows for Online Analytical Processing (OLAP), commonly referred
to as “cubes”.
Includes advanced analytical features such as complete data mining
and key performance indicator frameworks.
Enables organizations to accommodate multiple analytic needs
within one solution.
Business Intelligence Platform
SQL SERVER ANALYSISSERVICESSQL SERVER ANALYSISSERVICES

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Provides a complete reporting platform so that end-users can view
data using a Web browser or desk top.
Includes report authoring tools for both technical developers and
business users.
Allows web-based viewing and rendering in popular document
formats such as Microsoft Excel and PDF.
Contains robust e-mail subscription capability.
Business Intelligence Platform
SQL SERVER REPORTING SERVICESSQL SERVER REPORTING SERVICES

24. MICROSOFT BI PLATFORMMICROSOFT BI PLATFORM

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End User Tools & Performance Management
MICROSOFT EXCEL 2007MICROSOFT EXCEL 2007

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End User Tools & Performance Management
Planning
 Drive strategic objectives and goals into the planning and
budgeting process to ensure departmental plans align with
corporate strategy.
Monitoring and Analysis
 Powerful analytics capabilities empower business users to access
data and to perform analyses on their own so that they can make
better, faster decisions.
Release scheduled for Q4, 2007
OFFICE PERFORMANCE POINT SERVER 2007OFFICE PERFORMANCE POINT SERVER 2007

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MICROSOFT BI PLATFORMMICROSOFT BI PLATFORM

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Delivery
Reports
Excel
Workbooks
Dashboards Scorecards
Analytic
Views
Plans
Search
Content Management
Collaboration
Share Point Server
Key Benefit: makes information easy to access and use.
Brings the “Self-Service” to BI.
Serves as the central access point for all reports and business data.
Provides integration to Reporting Services, Microsoft Excel,
ProClarity Analytics, Dashboards (currently known as Business
Scorecard Manager) and PerformancePoint Server.
Allows users to collaborate, annotate and search.
Stores documents in a document library.
MICROSOFT OFFICE SHAREPOINT SERVERMICROSOFT OFFICE SHAREPOINT SERVER

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We believe that Microsoft offers superior value for the following
reasons:
It’s affordable and leverages existing investments.
 In many cases the organization already own the Microsoft SQL
Server and Microsoft Office licenses.
It’s modular–organizations can deploy it all at once or one piece
at a time.
 For instance, one can start with Reporting Services and cubes
and then integrate everything with SharePoint.
Microsoft is focused on the end-user experience and making BI
easy to use.
WHAT WE LIKE ABOUT MICROSOFT BI PLATFORM?WHAT WE LIKE ABOUT MICROSOFT BI PLATFORM?

30. THANKYOUTHANKYOU