Your SlideShare is downloading. ×
0
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Ch11
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Ch11

227

Published on

Published in: Education, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
227
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

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

×