Ch11
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Ch11

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Ch11 Ch11 Presentation Transcript

  • Business Intelligence and Corporate Performance Management Chapter 11 1
  • Concepts and Benefits Chapter 11 2
  • • BI is an umbrellas term that combines – Architecture – Tools – Databases – Applications – Methodologies Chapter 11 3
  • • 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
  • • Data warehouse• Business analytics• Business Performance Management• User Interface Chapter 11 5
  • Chapter 11 6
  • Chapter 11 7
  • • 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
  • • 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
  • • 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
  • • Reporting and queries• Advanced analytics• Data , text and web mining Chapter 11 11
  • • 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
  • • 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
  • Chapter 11 14
  • • 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
  • • Faster, more accurate reporting• Improved decision making• Improved customer service• Increased revenue Chapter 11 16
  • Chapter 11 17
  • Online Analytical Processing, Reporting and Querying Chapter 11 18
  • • Is the science of analysis.• It refers to analysis of data and information. Chapter 11 19
  • • It provides the models and procedures to BI.• Involves tracking data.• Analyzing data for competitive advantage. Chapter 11 20
  • • 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
  • • It is also known as: – Analytical processing – Business intelligence tools – Business intelligence applications or – Business intelligence Chapter 11 22
  • • Automating the thinking• Uses complex quantitative techniques Chapter 11 23
  • • Knowledge discovery: the process of extracting useful knowledge from volumes of data. Chapter 11 24
  • • 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
  • • OLAP refers to a variety of activities performed by end-users in online systems. Chapter 11 26
  • • Routine: automatically generated and distributed periodically to internal & external subscribers on mailing lists.• Ad-hoc: customized for specific users when needed. Chapter 11 27