1. Business Intelligence
BUSINESS PLUG-IN B18
Business Intelligence

2. LEARNING OUTCOMES
Explain the problem associated with business intelligence. Describe the solution to this business problem
Describe the three common forms of data-mining analysis?
Compare tactical, operational, and strategic BI

3. LEARNING OUTCOMES Explain the organization-wide benefits of BI
Describe the four categories of BI business benefits

4. BUSINESS INTELLIGENCE
Business intelligence (BI) – applications and technologies used to gather, provide access to, and analyze data and information to support decision-making efforts
Parallels between the challenges in business and challenges of war
Collecting information
Discerning patterns and meaning in the information
Responding to the resultant information

5. The Problem: Data Rich, Information Poor
Businesses face a data explosion as digital images, in-boxes, and broadband connections doubles by 2010
The amount of data generated is doubling every year
Some believe it will soon double monthly

6. The Solution: Business Intelligence
Improving the quality of business decisions has a direct impact on costs and revenue
BI systems and tools results in creating an agile intelligent enterprise

7. The Solution: Business Intelligence
BI enables business users to receive data for analysis that is:
Reliable
Consistent
Understandable
Easily manipulated

8. The Solution: Business Intelligence
BI can answer tough customer questions

9. OPERATIONAL, TACTICAL, AND STRATEGIC BI
Claudia Imhoff, president of Intelligent Solutions, divides the Spectrum of data mining analysis and business intelligence into three categories:
Operational
Tactical
Strategic

10. OPERATIONAL, TACTICAL, AND STRATEGIC BI

11. OPERATIONAL, TACTICAL, AND STRATEGIC BI

12. BI’s Operational Value
Richard Hackathorn’s graph demonstrating the value of operational BI

13. BI’s Operational Value
The key is to shorten the latencies so that the time frame for opportunistic influences on customers, suppliers, and others is faster, more interactive, and better positioned

14. DATA MINING
Data mining – process of analyzing data to extract information
Data-mining tools – use a variety of techniques to find patterns and relationships in large volumes of information
Classification
Estimation
Affinity grouping
Clustering

15. DATA MINING Common forms of data-mining analysis capabilities include:
Cluster analysis
Association detection
Statistical analysis

16. Cluster Analysis
Cluster analysis – a technique used to divide an information set into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible
CRM systems depend on cluster analysis to segment customer information and identify behavioral traits

17. Association Detection
Association detection – reveals the degree to which variables are related and the nature and frequency of these relationships in the information
Market basket analysis

18. Statistical Analysis
Statistical analysis – performs such functions as information correlations, distributions, calculations, and variance analysis
Forecast – predictions made on the basis of time-series information
Time-series information – time-stamped information collected at a particular frequency

19. BUSINESS BENEFITS OF BI
Benefits of BI include:
Single Point of Access to Information for All Users
BI across Organizational Departments
Up-to-the-Minute Information for Everyone

20. Four Primary Categories of BI Benefits
Four main categories:
Quantifiable benefits
Indirectly quantifiable benefits
Unpredictable benefits
Intangible benefits

21. CLOSING CASE ONE Intelligent Business
What is the problem of gathering business intelligence from a traditional company? How can BI solve this problem?
Choose one of the three common forms of data-mining analysis and explain how Travelocity could use it to gain BI
How will tactical, operational, and strategic BI be different when applied to personal Google?
How is IBM’s search and analysis software an example of BI?

22. CLOSING CASE ONE Intelligent Business
What does the term “pervasive business intelligence” mean?
How could any business benefit from technology such as Personal Google?
How could a company use BI to improve its supply chain?
Highlight any security and ethical issues associated with Biggle

23. CLOSING CASE TWO Big Bad Burger
What does business intelligence really mean to a business? How did CPR save millions for CKE?
What are the negative impacts of CKE’s business intelligence?

24. CLOSING CASE TWO Big Bad Burger
Explain the three forms of data-mining analysis and explain how CKE can use it to gain BI?
How can CKE use tactical, operational, and strategic BI?
What types of ethical and security issues could CKE face from CPR?