Business intelligence (BI) is software and solutions that collect, analyze, and provide access to data to help users make better decisions. It includes tools like data warehousing, reporting, data mining, and dashboards. BI has grown significantly in recent years and is applied across industries like customer relationship management, supply chain management, and enterprise resource planning. It provides faster and more accessible reports to answer questions about past, present, and future business performance and goals.

1. BUSINESS INTELLEGENCE
BY: SHIVALI
MBA 3A

2. ORIGIN
 Originally a term coined by the Gartner Group in 1993, Business Intelligence (BI) is a
broad range of software and solutions aimed at collection, consolidation, analysis and
providing access to information that allows users across the business to make better
decisions.
 The technology includes software for database query and analysis, multidimensional
databases or OLAP tools, data warehousing and data mining, and web enabled reporting
capabilities.
 Applied across disciplines but especially in Customer Relationship Management (CRM),
Supply Chain Management (SCM) Enterprise Resource Planning
 Provide better, faster and more accessible reports

3. BUSINESS INTELLIGENCE/BUSINESS
ANALYTICS
 Business intelligence (BI)
 Also referred to as business analytics
 A range of different applications and technologies used to extract and analyze
large amounts of data to aid in decision making
 Includes data-mining tools and querying tools
 Often interactive and visual
 There has been significant growth in the BI market in recent years
3

4. Why BI?
The Five Questions…
• What happened?
• What is happening?
• Why did it happen?
• What will happen?
• What do I want to happen?
ERP CRM SCM
Past
Present
Future
Data

5. STRUCTURE

6. STAGES IN BUSINESS INTELLIGENCE

7.  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 BI

8. 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 CAREERS

9.  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 AND KNOWLEDGE

10.  Role Based Dashboards
 Analytic Workflow
 Guided Navigation
 Security / Visibility
 Alerts & Proactive Delivery
 Logical to Physical Abstraction Layer
 Calculations and Metrics Definition
 Visibility & Personalization
 Dynamic SQL Generation
 Highly Parallel
 Multistage and Customizable
 Deployment Modularity
 Abstracted Data Model
 Conformed Dimensions
 Heterogeneous Database support
 Database specific indexing
ORACLE BI APPLICATIONS ARCHITECTURE
Administration
Metadata
Oracle BI
Presentation
Services
Dashboards by Role
Reports, Analysis / Analytic
Workflows
Metrics / KPIs
Logical Model / Subject Areas
Physical Map
Oracle BI
Server
Direct
Access to
Source
Data
Data Warehouse /
Data Model
ETL
Load Process
Staging Area
Extraction Process
DAC
Federated Data Sources
SiebelOracle SAP R/3 PSFT EDW
Other

11. SELECTED KEY ENTITIES OF BUSINESS
ANALYTICS WAREHOUSE
Conformed Dimensions
 Customer
 Products
 Suppliers
 Internal Organizations
 Customer Locations
 Customer Contacts
 GL Accounts
 Employee
 Sales Reps
 Service Reps
 Partners
 Campaign
 Offers
 Cost Centers
 Profit Centers
Sales
 Opportunities
 Quotes
 Pipeline
Order Management
 Sales Order Lines
 Sales Schedule Lines
 Bookings
 Pick Lines
 Billings
 Backlogs
Marketing
 Campaigns
 Responses
 Marketing Costs
Supply Chain
 Purchase Order Lines
 Purchase Requisition Lines
 Purchase Order Receipts
 Inventory Balance
 Inventory Transactions
Finance
 Receivables
 Payables
 General Ledger
 COGS
Call Center
 ACD Events
 Rep Activities
 Contact-Rep Snapshot
 Targets and Benchmark
 IVR Navigation History
Service
 Service Requests
 Activities
 Agreements
Workforce
 Compensation
 Employee Profile
 Employee Events
Pharma
 Prescriptions
 Syndicated Market Data
Financials
 Financial Assets
 Insurance Claims
Public Sector
 Benefits
 Cases
 Incidents
 Leads
Modular DW Data Warehouse Data
Model includes:
~350 Fact Tables
~550 Dimension Tables
~5,200 prebuilt Metrics
(2,500+ are derived metrics)
~15,000 Data Elements

12.  http://www.spscc.ctc.edu/academics/programs/business-intelligence/class-description.html
 http://bellevuecollege.edu/business/info_bus_intelligence.html
 http://www.austincc.edu/techcert/microsoftbusintell.php
 http://www.sju-online.com/programs/business-intelligence-curriculum.asp
 http://www.setfocus.com/MastersProgram/curriculum_businessintelligence.aspx
 http://www.crmsoftware360.com/crmsoftware.htm
REFERENCES