1. Business Intelligence (BI)
Overview
By,
Dr. Dipti Patil

2. Syllabus

4. Syllabus

5. Syllabus

6. What is Business Intelligence?
Business Intelligence enables the
business to make intelligent, fact-based
decisions
Aggregate
Data
Database, Data Mart, Data
Warehouse, ETL Tools,
Integration Tools
Present
Data
Enrich
Data
Inform a
Decision
Reporting Tools,
Dashboards, Static
Reports, Mobile Reporting,
OLAP Cubes
Add Context to Create
Information, Descriptive
Statistics, Benchmarks,
Variance to Plan or LY
Decisions are Fact-based
and Data-driven

7. What is Business Intelligence (BI)
Definitions:
• Business Intelligence (BI) refers to skills, processes, technologies, applications
and practices used to support decision making.
• Systems that provide directed background data and reporting tools to support
and improve the decision-making process.
• A popularized, umbrella term used to describe a set of concepts and methods
to improve business decision making by using fact-based support systems. The
term is sometimes used interchangeably with briefing books and executive
information systems.
• Business Intelligence is a broad category of applications and technologies for
gathering, storing, analyzing, and providing access to data to help clients make
better business decisions.
• A system that collects, integrates, analyses and presents business information
to support better business decision making.
• Business Intelligence is an environment in which business users receive
information that is reliable, secure, consistent, understandable, easily
manipulated and timely...facilitating more informed decision making

8. What is BI (continued)
© 2008 Accenture. All Rights Reserved.
Improving organizations by
providing business insights to all
employees leading to better,
faster, more relevant decisions

9. • Content
– The business determines the “what”, BI enables the “how”
• Performance
– Minimize report creation and collection times (near zero)
• Usability
– Delivery Method Push vs Pull
– Medium  Excel, PDF, Dashboard, Cube, Mobile Device
– Tell a Story  Trend, Context, Related Metrics, Multiple Views
CPU – Content, Performance, Usability

10. How Important is BI?
Top 10 Business and Technology Priorities :
1. Cloud computing
2. Virtualization
3. Mobile technologies
4. IT Management
5. Business Intelligence
6. Networking, voice and data communications
7. Enterprise applications
8. Collaboration technologies
9. Infrastructure
10. Web 2.0

11. Why is Business Intelligence So Important?
Time
With Business Intelligence, we can get data to you in a timely manner.
Making Business
Decisions is a Balance
Data Opinion
(Best Professional
Judgment)
In the absence of data, business decisions are often made by the HiPPO.

12. Benefits of Business Intelligence
• Call centres
– e.g. Top Agent awarded bonus -> competition leading to performance
improvements
• Criminal Minds
– Information gathered on previous actions of serial killers allows the team to
predict the actions of future serial killers
• Revenue Service
– who has the yacht but cannot afford it
• Plagiarism detection in colleges
• Customer Loyalty Programs
• Twitter analysis for public mood
• Healthcare
– predicting infection in rural parts of third world

13. Major BI Trends
• Mobile
• Cloud
• Social Media
• Advanced Analytics

14. Advanced Analytics / Predictive Analytics
• Data Mining
• Regression
• Monte Carlo Simulation
• “Statistically Significant”
• Predicting Customer Behavior
– Churn/Attrition
– Purchases
– Profiling

15. BI Today vs Tomorrow
• “BI today is like reading the newspaper”
– BI reporting tool on top of a data
warehouse that loads nightly and produces
historical reporting
• BI tomorrow will focus more on real-
time events and predicting tomorrow’s
headlines

16. Retail Analytics
• Market Basket Analytics
• Text Analytics
• Customer Segmentation/Clustering
• Inventory Forecasting

17. 17
Amazon.com and NetFlix
Collaborative Filtering tries to predict other items a
customer may want to purchase based on what’s in their
shopping cart and the purchasing behaviors of other
customers

18. 18
What Is Text Analytics?
…turning unstructured customer comments into
actionable insights
…finding nuggets of insight in text data that will
improve our business
From Wikipedia:
… a set of linguistic, statistical, and machine learning
techniques that model and structure the information
content of textual sources for business intelligence,
exploratory data analysis, research, or investigation

19. 19
Customer Sat
Survey
Comments
Unstructured Text Processing
Facebook
Page
Blogs
Competitors’
Facebook
Pages
Public Web Sites,
Discussion Boards,
Product Reviews
Alerts,
Real-time
Action
Twitter
Page
Services
Quality Cost Friendliness
Email
Adhoc
Feedback
Call
Center
Notes,
Voice

23. Thank You
Q&A