Ch11

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Ch11

  1. 1. Business Intelligence and Corporate Performance Management Chapter 11 1
  2. 2. Concepts and Benefits Chapter 11 2
  3. 3. • BI is an umbrellas term that combines – Architecture – Tools – Databases – Applications – Methodologies Chapter 11 3
  4. 4. • To enable interactive access to data• To enable manipulation of these data• To provide business manager & analysts the ability to conduct appropriate analysis. Chapter 11 4
  5. 5. • Data warehouse• Business analytics• Business Performance Management• User Interface Chapter 11 5
  6. 6. Chapter 11 6
  7. 7. Chapter 11 7
  8. 8. • It is a special database, or repository of data, that has been prepared• To support decision making applications ranging from• Simple reporting and querying to complex optimization Chapter 11 8
  9. 9. • Constructed with methodologies, mainly metadata and ELT.• It is also based on data marts, which are repositories for departments and various functions. Chapter 11 9
  10. 10. • Software tools to create on-demand reports and queries and analyze data.• Appears under the name OLAP• Identify performance trends using trend analysis and graphing tools. Chapter 11 10
  11. 11. • Reporting and queries• Advanced analytics• Data , text and web mining Chapter 11 11
  12. 12. • Is constructed for monitoring and analysis of performance.• Based on Balanced scorecard : framework for defining, implementing & managing & enterprise’s business strategy by linking objectives with factual measures. Chapter 11 12
  13. 13. • Dashboards: organize and present information in a way that is easy to read. – Presents corporate performance measures (KPIs), trends, exceptions.• Visualization tools: multidimensional cube to present virtual reality. GIS etc… Chapter 11 13
  14. 14. Chapter 11 14
  15. 15. • Time savings• Single version of the truth• Improved strategies and plans• Improved tactical decisions• Efficient processes & cost saving• Improved customer & partner relationships Chapter 11 15
  16. 16. • Faster, more accurate reporting• Improved decision making• Improved customer service• Increased revenue Chapter 11 16
  17. 17. Chapter 11 17
  18. 18. Online Analytical Processing, Reporting and Querying Chapter 11 18
  19. 19. • Is the science of analysis.• It refers to analysis of data and information. Chapter 11 19
  20. 20. • It provides the models and procedures to BI.• Involves tracking data.• Analyzing data for competitive advantage. Chapter 11 20
  21. 21. • Is a broad category of applications and techniques for: – Gathering – Storing – Analyzing – Providing access to data to help enterprise users make better business and strategic decisions. Chapter 11 21
  22. 22. • It is also known as: – Analytical processing – Business intelligence tools – Business intelligence applications or – Business intelligence Chapter 11 22
  23. 23. • Automating the thinking• Uses complex quantitative techniques Chapter 11 23
  24. 24. • Knowledge discovery: the process of extracting useful knowledge from volumes of data. Chapter 11 24
  25. 25. • To identify valid, novel, potentially useful and understandable patterns in data.• Supported by: – Massive data collection – Powerful multiprocessor computers – Data mining & algorithms Chapter 11 25
  26. 26. • OLAP refers to a variety of activities performed by end-users in online systems. Chapter 11 26
  27. 27. • Routine: automatically generated and distributed periodically to internal & external subscribers on mailing lists.• Ad-hoc: customized for specific users when needed. Chapter 11 27

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