This document discusses business intelligence and how it has evolved from legacy reporting to analytical reporting and predictive analysis. It defines each stage of business intelligence and how they build upon each other. Legacy reporting involved static SQL queries of single data sources for immediate information needs. Analytical reporting integrated data from multiple sources into a data warehouse to allow for analysis of large datasets and identification of trends and summaries. Predictive analysis aims to predict future events using real-time and loosely related data sources through techniques like sentiment analysis. The document argues that information, feedback, and intelligence are what drive business.

1. Business Intelligence
What drives business

2. 2
Robert Carlson
Manager – Business Intelligence

3. Business Intelligence
- What Drives Business

4. VIDEO
https://www.youtube.com/watch?v=LuDN2bCIyus

5. 5
Observation
Practice Makes Perfect
Information in Small Amounts
Information Builds Confidence
Feedback
is
Information

6. 6
Predictable
Reliable
Quality
Feedback is
Information

7. 7
We Need a Goal or Destination
Feedback Attains Goals
Gathering Information is the Key
How?
To reach the
Finish Line

8. 8
Legacy Reporting
Analytical Reporting
Predictive Analysis
Build on Each Other
Methodologies

9. 9
Definition and Purpose
Advantages
Disadvantages
Examples
Legacy
Reporting

10. 10
Decision Support Systems
(Buzzwords)
Ad-hoc Classic Reporting (SQL)
Enabled Decision Makers (HUGE)
Definition
&
Purpose

11. 11
Insight into the Business
Real-Time Reporting
Automate
Advantages

12. 12
Reports are Static (Unchanging)
Queries for a Specific Need
Hard to Compare to Other Datasets
Disadvantages
Historical Trends

13. 13
SQL
Specific needs
Immediate Simple Information
Legacy
Reporting
Examples

14. SQL Examples
14
Count(orders), address, dates, orders from patient_table, location_table, date_table, patient_table
Count(orders), address, dates from order_table, location_table, date_table
Count(orders), address from order_table, location_table
Count(orders) from order_table

15. SQL Examples
15
Count(patients), address, dates, orders from patient_table, location_table, date_table, order_table
Count(patients), address, dates from patient_table, location_table, date_table
Count(patients), address from patient_table, location_table
Count(patients) from patient_table

16. Simple Metrics
16
153
Order Count in (USA)
49
Order Count (nonUSA)

17. 17
Definition and Purpose
Advantages
Disadvantages
Examples
Data Integration
&
Analytical Reporting

18. 18
Business Intelligence (Buzzwords)
Data Warehousing Begins
Addresses Problems
Definition
&
Purpose

19. 19
More Than One Data Source
Large Amounts of Data
Addresses Problems
Advantages

20. ETL (Data Integration)
20
Data Warehouse

21. Star Schema is Born
21
Variants
Location
Dates
Patients
Providers
Time
Orders

22. Interconnected
22
Data Warehouse
• Easier to Integrate Data
• Query Large Data Sets
• Summaries & Trends
• Gave Data More Meaning

23. 23
Disadvantages
• ETL (Integration) Takes Time
Extract
from
Source
Transform
&
Integrate
Load
into
Warehouse
Summaries
and
Aggregates

24. 24
Video
https://www.youtube.com/watch?v=HA6xXNToFas

25. 25
Disadvantages
• Prediction is only by Historical Data

26. 26
Reactive / Not Proactive
Feedback from All Around Us
Addresses Problems (BIG)
Car Analogy
cont.
“Luxury Cars”
Predicts Based on Set Events

27. 27
Definition and Purpose
Advantages
Disadvantages
Examples
Real-Time
Predictive
Analysis

28. 28
Predictive Analysis (Buzzwords)
“Intelligent Data”
Informal and Loosely Defined
Definition
&
Purpose

29. 29
Predicts Events
Near Real-Time
Relates Loosely Tied Data
Advantages
Sentiment Analysis

30. 30
Sentiment Analysis
Sick Sick

31. 31
No Strict Structure
Trends Don’t Exist (Typically)
Loose Trends and Insights
Disadvantages

32. Predictive Analysis
32
Social Media
Databases
Web Services
Internet
User Input
Sentiment
Analysis Engine

33. 33
Toyota Accelerator Issues
Myriad Possibilities
Google Car
Examples

34. 34
What’s going on?
Social Media
Which Cars or Parts or Dealers?
Toyota Accelerator
Who knows? Other reasons?

35. 35
Correlations & Studies
Social Media
Myriad Possibilities
Demographics

36. 36
Provider Interactions
Myriad Possibilities
Cont.
Insurance Denials
Test Cancelations

37. 37
Predictive and Proactive
Reactions to Real-Time Situations
Reduces Human Error
Google Car

38. https://www.youtube.com/watch?v=4zOFNTkxMvQ
Video

39. AGAIN!
- What Drives Business?

40. • Information
• Feedback
• Intelligence

41. 41
Be in Control

42. 42
Simple Static Reports
Analytical Reporting
Predictive Analysis
Wrap up

43. THANK YOU.

44. Q & A

45. THE END