Business Intelligence (BI) involves using data to provide actionable insights for decision-making, enhancing organizational performance. It encompasses various techniques and tools for data analysis and reporting across different industries and user types. Career opportunities in BI are diverse, including roles in analysis, development, and management, with varying salary expectations based on location.

1. BUSINESS INTELLIGENCE (BI)
Dr Mithileysh Sathiyanarayanan
MIT Square, London
City, University of London
Web: www.mitsquare.com
Email: mithileysh@mitsquare.com

2. RAJ SQUARE CHARITY FOUNDATION
www.rajsquare.com
RAJ CORONA WARRIORS
Thanks to the Volunteers from Tamilnadu.

3. AGENDA
3
What is Business
Intelligence (BI)?
BI Evolution and Trend
BI Users & Application
Areas
BI Tools
BI Career

4. 4
1. WHAT IS BUSINESS
INTELLIGENCE (BI)?

5.  Business Intelligence (BI) is about using the right
data to get the right information, to the right
decision makers, at the right time.
 BI is an enterprise-wide platform that supports
reporting, analysis and decision making.
– BI as an information system
– BI as a data analytic processor
– BI as a decision management
BUSINESS INTELLIGENCE (BI)

6.  fact-based decision making.
 “single version of the truth”.
 useful, actionable insight from stored data.
 effective business decisions can be made.
 allows the act of using historical data to gain new
information.
 quick decisions can be made.
BI LEADS TO:
Improving organizations by
providing business insights to all
employees leading to better, faster,
more relevant decisions.

7. HOW CAN WE DEFINE BI?
7
Business Intelligence is a set of
methods, processes,
frameworks, architectures,
applications, and technologies
that gather and transform raw
data into meaningful and useful
information used to enable more
effective strategic, tactical, and
operational insights and decision-
making (to drive business
performance).

8.  Techniques include:
 statistical analysis
 visualisations
 visual analytics
 ad-hoc queries
 reporting
 dashboards
BI TECHNIQUES
• Traditionally BI has been also understood as Decision Support System
(DSS) – data directly contributes to decision without intensive and advanced
analytical techniques.

9. BASIC TECHNIQUES IN BUSINESSANALYTICS
9
• Correlation
• Regression
• Forecasting
• Cluster analysis
• Factor analysis

10. TYPES OF INFORMATION PROCESSING
10
Transactional Processing
• Focus on individual data item
processing: data insertion,
modification, deletion, and
transmission
Analytical Processing
• Focus on reporting, analysis,
transformation, and decision
support

11. “DIK" TO ACHIEVE BUSINESS SUCCESS
• Data: raw value elements or facts
• Information: the result of collecting and organizing data that
provides context and meaning
• Knowledge: the concept of understanding information that
provides insight to information, thus useful and actionable
11
Analytical
Processing
Transactional
Processing

12. BI: A GENERALPROCESS
12

13. QUESTIONS BI IS DESIGNED TO
ANSWER
• What happened?
• What is happening?
• Why did it happen?
• What will happen?
• What do I want to happen?
Past
Present
Future

14. A
LEVELS OF ANALYTICALPROCESSING
14Advanced Analytics and Business Intelligence
https://www.youtube.com/watch?v=oNNk9-tmsZY

15. DATA PRESENTATIONS
29
REPORTS DASHBOARD VISUAL
ANALYTIC TOOL
SCORECARD

16. DATA VISUALIZATION - CHARTS

17. EXAMPLES OFANALYSIS
17
Should we invest
more on our e-
business? (fuzzy
question  need
high level analysis
for decision
making)
How do advertising
activities affect sales
of different products
bought by different
type of customers,
in different regions?
(synthesizing)
Figure from Database Processing, 13th Edition, by David Kroenke and David Auer
What is the reason
fora decrease of
total sales this
year? (reasoning)

18. 18
2. BI EVOLUTION &
TREND

19. THE EVOLUTION OF BI SEMANTICS
19http://www.b-eye-network.com/blogs/eckerson/archives/2011/02/whats_in_a_word.php
Analytics can be viewed
as the evolved or
improved BI
2020

20. THE EVOLUTION OF BI SEMANTICS
20

23. 8
BUSINESS INTELLIGENCE VISION
Is
Artificial Intelligence (AI)
and
Business Intelligence (BI)
same?
– Strategic: focused on high level
organizational strategies and
directions
– Tactic: focused on goals of a
organization unit
– Operational: focused on
streamlining day-to-day operations.
Institutional Intelligence (II)

24. 24
3. BI USERS &
APPLICATION AREAS

25. BUSINESS INTELLIGENCE USERS
Executives Casual Users
Functional Users Super/Power Users

26. BI USERS HAVE DIFFERENT NEEDS
26

27. BI PRODUCERS
& CONSUMERS
32 Technical vs. Business users

28. QUESTIONS BI IS DESIGNED TOANSWER
 Sales and marketing
 Which customers should I target?
 What has caused the change in my pipeline?
 Which are my most profitable campaigns per region?
 Did store sales spike when we advertised in the local paper
or launched an email campaign?
 What is the most profitable source of sales leads and how
has that changed over time?

29. QUESTIONS BI IS DESIGNED TOANSWER
 Operational
 Which vendors are best at
delivering on time and on
budget?
 Financial
 What is the expected annual
profit/loss based on current
marketing and sales
forecasts?
 Overall business performance
 What are the most important
risk factors impacting the
company’s ability to meet
annual profit goals?

30. BI APPLICATIONAREAS
30
• BI can be applied in all “businesses” (industries,
functional areas, or domains) to drive “business”
performance in both private and public sector
– Private
• Retail, manufacture, real-estate, financial, sports, media,
entertainment, publication, etc.
– Public (non-profit)
• Education, government, healthcare, association, etc.

31. SAMPLE BIAPPLICATIONS
31
• Marketing and sales
• Financial management
• Human resource/capital
• Project and program management
• Power and energy management
• Business management
• IT management
• Supply chain & logistics
• Healthcare management
• Insurance
• City planning
• Education
• Internet and web
• Sports and games analytics

32. 32
4. BI TOOLS

33. GOOGLE DATA STUDIO

34. TABLEAU

35. MICROSOFT POWER BI

36. IBM WATSON

37. QLIKVIEW

38. ACTIV TRAK

39. CLUVIO

40. DATABOX

41. CAN I BUILD MY OWN BI TOOL?
YES, IT IS POSSIBLE! BUT HOW?

42. DATA DRIVEN DOCUMENTS (D3)
You need to use the following three to build your own BI Tool
• HTML
• CSS
• JavaScript
https://www.d3js.org/

43. 43
5. BI CAREER

44. BI CAREERS
• 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

45. WHAT ARE EMPLOYERS LOOKING FOR?
48

46. CRITICAL KNOWLEDGE AND SKILLS
• Three competencies
– Technical, Business, Analytical
• Five skills in your kit
- Free Open Source BI Tools
- R, Python & SQL
- Socio-emotional Skills
- Reporting Skills
- Business Analysis

47. • INDIA - ₹ 20,000 pm to ₹ 1,00,000 pm
• UK - £2,000 pm to £5,000 pm
• USA - $4,000 pm to $10,000 pm
SALARY EXPECTATIONS

48. SUMMARY
48
What is Business Intelligence (BI)?
BI Evolution and Trend
BI Users & Application Areas
BI Tools
BI Career

49. OPPORTUNITIES
• Incubation Support
• Product Development
• Patent Filing
• Internship & Training
• Joint Funding
• PhD & Post Doc
Opportunities in India
& UK
• International
Collaboration

50. THANK YOU
You can reach me any time
LinkedIn: Mithileysh Sathiyanarayanan
Personal Email: s.mithileysh@gmail.com