Business Intelligence Megan Amberson Mallory Conger Tamara Day

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    23-Dec-2015

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  • Slide 1
  • Business Intelligence Megan Amberson Mallory Conger Tamara Day
  • Slide 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)
  • Slide 3
  • What Counts? Various software programs have been developed to ease the work of gathering and analyzing large quantities of data.
  • Slide 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?
  • Slide 5
  • Business Processes Example Extending UML 2 Activity Diagrams With Business Intelligence Objects (pg.10)
  • Slide 6
  • Finding Patterns in Data Many methods can be used to find usable data out of the volumes generated in todays 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.
  • Slide 7
  • Business Intelligence Companies (Gartners Magic Quadrant) Figure 1. Magic Quadrant for BI Platforms, 1Q06
  • Slide 8
  • Gartners 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)
  • Slide 9
  • Gartners 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)
  • Slide 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)
  • Slide 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
  • Slide 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
  • Slide 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
  • Slide 14
  • The Future of BI Gartners Predictions for Year-End 2007 3 main continued trends -Consolidation -Strategic to Operational -More Sophisticated Analytics
  • Slide 15
  • QUESTIONS?????

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