Post on 18-Aug-2015
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
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
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
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
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
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
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
Ad
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Me
tad
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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 ProcessD
AC
Federated Data Sources
SiebelOracle SAP R/3 PSFT EDW
Other
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
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
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