This document provides an introduction to business intelligence (BI) by defining what BI is, discussing how it helps drive business decisions through data visualization and processing, and outlining the typical components and technologies involved in a BI system like data warehouses, data marts, dashboards, and the roles of BI developers. It also briefly discusses major BI vendors and positioning them in Gartner's Magic Quadrant, and provides references for further reading on BI topics.

1. BUSINESS INTELLIGENCE INTRO
IOAN SUCIU, SOLUTION ARCHITECT, ISDC

2. 2

3. QUIZ
WHAT DO YOU KNOW ABOUT BI
1. I googled about Business Intelligence (BI)?
2. I watched a BI presentation movie?
3. I played with a BI demo environment?
4. I followed a BI tutorial?
5. I worked on a BI project?
BI INTRO 4/15/2013 3

4. QUIZ
ARE YOU INTERESTED IN BI
1. I want know more about BI?
2. I’m fine with java and .net?
3. Undecided?
BI INTRO 4/15/2013 4

5. AGENDA
1. What is Business Intelligence?
2. BI for business
3. Vendors and Technologies
4. A day in a BI developer’s life
BI INTRO 4/15/2013 5

6. INFORMATION DRIVES DECISIONS
W HAT IT BI? 4/15/2013 6

7. INGREDIENTS OF INFORMED DECISIONS
Data
visualization
Processing and
aggregation
Lots and lots of data
W HAT IT BI? 4/15/2013 7

8. DEFINITIONS
1. Wikipedia: Business intelligence (BI) is a set of theories,
methodologies, processes, architectures, and technologies that
transform raw data into meaningful and useful information
for business purposes
2. Gartner defines the business intelligence (BI) and analytics
platform market as a software platform that delivers 15
capabilities across three categories: integration, information
delivery and analysis.
W HAT IT BI? 4/15/2013 8

9. BI INTRO 4/15/2013 9

10. DASHBOARDS
W HAT IT BI? 4/15/2013 10

11. INFOGRAPHICS
W HAT IT BI? 4/15/2013 11

12. THE IMPORTANCE OF BI TODAY
BI FOR BUSINESS 4/15/2013 12

13. THE TECHNOLOGY HYPE CYCLE
BI FOR BUSINESS 4/15/2013 13

14. GARTNER
MAGIC QUADRANT
1. Leaders
Strong in breadth and depth
2. Challengers
Limited to specific use cases
3. Visionaries
Openness and flexibility
4. Niche players
Do well in a specific segment
VENDORS & TECHNOLOGIES 4/15/2013 14

16. BI REFERENCE ARCHITECTURE
DEVELOPER LIFE 4/15/2013 16

17. DATA COLLECTION & ETL
Extract
ETL
• Connect to data end points
• Retrieve data in specific formats
Transformations
• Data conversion
• Validation
• Computation
Load
• Save into target tables
DEVELOPER LIFE 4/15/2013 17

18. DWH & DM
Data modelling techniques
3 NF
• Tables, Primary key, Foreign key
Data vault by Dan Lindsted
• Hub, Link, Satellite
• Point in time, Bridge, Reference
Data mart by Ralph Kimball
• Dimensions and facts
DEVELOPER LIFE 4/15/2013 18

19. INFORMATION DELIVERY
Information portals
- Reports
- Fact sheets
- Dashboards
- Data feeds
DEVELOPER LIFE 4/15/2013 19

20. REFERENCES
[1] How to measure everything, Finding the value of “intangibles” in business, Douglas W. Hubbard
[2] DWH 2.0, Bill Inmon
[3] Chriss Web BI Blog, http://cwebbbi.wordpress.com/
[4] Coursera: Computing for data analysis, https://www.coursera.org/course/compdata
[5] Gartner Magic Quadrant: http://www.gartner.com/technology/reprints.do?id=1-1DYXHVT&ct=130206&st=sg
[6] Tidemark – analytics reimagined, http://tidemark.net/
[7] Domo knows BI, http://www.domo.com
REFERENCE 4/15/2013 20

21. QUESTIONS AND ANSWERS