1. Business Intelligence Megan Amberson Mallory Conger Tamara Day

2. What is Business Intelligence (BI)?  “A set of business processes for collecting and analyzing business information. This includes the technology used in these processes, and the information obtained from these processes.” (Wikipedia.org)

3. What Counts?  Various software programs have been developed to ease the work of gathering and analyzing large quantities of data.

4. BI Technology TERMDEFINITIONEXAMPLE (Safeway Club Cards) Data Warehouse: A repository of integrated information from various sources, for queries and analysis. (Wikipedia.org) A summary of data collected from every Safeway card used in all Safeway stores. Data Mart: A subset of a data warehouse. Contains specific, predefined groups of data. (Wikipedia.org) Customers purchasing Pepsi and customers purchasing Doritos. Data Mining: Exploration of the data contained in data warehouses or marts in search of patterns. (Wikipedia.org) Do customers that purchase Pepsi also purchase Doritos?

5. Business Processes Example “Extending UML 2 Activity Diagrams With Business Intelligence Objects” (pg.10)

6. Finding Patterns in Data  Many methods can be used to find usable data out of the volumes generated in today’s technology driven world. These can include:  Decision Trees: has limited applicability and works best for classification tasks  Genetic Algorithms: selection of data that best fits optimal criteria  Nonlinear Regression Methods: based on searching for a dependence of the target variable on other variables.

7. Business Intelligence Companies (Gartner’s Magic Quadrant) Figure 1. Magic Quadrant for BI Platforms, 1Q06

8. Gartner’s Criteria for Evaluation (2)  Ability to execute 1. Product/Service: (HIGH) 2. Overall Viability: (HIGH) 3. Sales Execution/Pricing: (STANDARD) 4. Market Responsiveness and Track Record: (LOW) 5. Market Execution:. (LOW) 6. Customer Experience: (HIGH) 7. Operations: (STANDARD)

9. Gartner’s Criteria for Evaluation  Completeness of Vision 1. Market Understanding: (HIGH) 2. Marketing Strategy: (STANDARD) 3. Sales Strategy: (STANDARD) 4. Product Strategy: (HIGH) 5. Vertical/Industry Strategy: (LOW) 6. Innovation: (HIGH) 7. Geographic Strategy: (STANDARD)

10. What do the Quadrants Mean?  Leaders (Global companies that offer a complete range of products)  Visionaries (Market thought leader and innovator with gaps)  Challengers (supplementing current business offerings)  Niche Players (only offering a specific part of BI, not a complete package)

11. Profile of Companies and Products  Microsoft  Late to market mover, but going in right direction  Actuate  Good understanding of the market, but facing difficulty proving legitimacy  Cognos  #1 company in BI software and performance  Hyperion  Broad array of BI capabilities and good overall vision

12. Top 10 Trends in BI during 2006 1. Information Quality 2. Master Data Management 3. Data Governance 4. Enterprise-Level BI 5. Regulatory Compliance

13. Top 10 Trends in BI during 2006 6. Enterprise Data Transparency 7. Actionable BI 8. Service-oriented Architecture 9. Rightshoring 10. Semi-structured and Unstructured Data

14. The Future of BI  Gartner’s Predictions for Year-End 2007  3 main continued trends -Consolidation -Strategic to Operational -More Sophisticated Analytics

15. QUESTIONS?????