This document provides an overview of business intelligence (BI). It defines BI as a technology infrastructure that analyzes available data to improve business processes and make effective decisions. The main components of a BI infrastructure include software to gather, clean, integrate, analyze and share data. The purpose of BI is to help executives and managers make better informed decisions to cut costs, find new opportunities and improve inefficient processes. Key benefits of BI include accelerating decision making, optimizing processes, increasing efficiency, and gaining competitive advantages. BI differs from business analytics in that BI describes past and current states, while business analytics uses software to predict future outcomes or prescribe optimal approaches.

1. MODULE III
MBA GTU BUSINESS ANALYTICS
VIDHI MEHTA

2. TOPICS
 Definitions and examples in BI
 Data Mining, Big Data, Web & social media
analytics
 Machine learning, Data Science, Data Lake,
 Various Perspectives of Managing Data
 Need Features and use of BI
 BI Component Framework
 BI vs BA.

3. WHAT IS BUSINESS INTELLIGENCE?
 Business Ingelligence (BI) - technology
infrastructure for gaining maximum information from
available data for the purpose of improving
business processes.
 Typical BI infrastructure components are as follows:
software solution for gathering, cleansing,
integrating, analyzing and sharing data.
 Business Intelligence produces analysis and
provides believable information to help making
effective and high quality business decisions.

4. PURPOSE OF BI IN BUSINESS
 The main purpose of Business Intelligence in a
business is to help corporate executives, business
managers and other operational workers make
better and more informed business decisions.
Companies also use BI to cut costs, identify new
business opportunities, and spot inefficient
business processes ripe for re-engineering.

5. BENEFITS OF USING BI
 Accelerating and improving decision making
 Optimizing internal business processes
 Increasing operational efficiency
 Driving new revenues
 Gaining competitive advantages over business
rivals.
 Identifying market trends
 Spotting business problems that need to be
addressed

6. COMMON BI SYSTEM
 EIS - Executive Information Systems
 DSS - Decision Support Systems
 MIS - Management Information Systems
 GIS - Geographic Information Systems
 OLAP - Online Analytical Processing and
multidimensional analysis
 CRM - Customer Relationship Management

7. EXAMPLES OF BI
 SERVICE PROVIDERS.
 RETAIL
 E-COMMERCE
 SUPERMARKETS
 CRIME AGENCEIS

8. HOW DOES BI DIFFER FROM BA?
 Business intelligence is also called descriptive
analytics, in that it describes a past or current state.
“It doesn’t tell you what to do; it tells you what was
and what is,” says Michael F. Gorman, professor of
operations management and decision science at
the University of Dayton in Ohio.
 Compare that explanation of BI with the definition
for business analytics (BA), a technology-aided
process by which software analyzes data to predict
what will happen (predictive analytics) or what
could happen by taking a certain approach
(prescriptive analytics). BA is also sometimes called
advanced analytics.