Business intelligence (BI) is an umbrella term that combines tools, databases, applications and methodologies to enable interactive access and manipulation of data to provide business managers and analysts the ability to conduct appropriate analysis. It includes data warehousing, business analytics, business performance management and user interfaces. BI provides benefits like time savings, improved strategies and decisions, increased revenue and improved customer relationships through faster and more accurate reporting and improved decision making.

1. Business Intelligence and
Corporate Performance
Management
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2. Concepts and Benefits
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3. • BI is an umbrellas term that combines
– Architecture
– Tools
– Databases
– Applications
– Methodologies
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4. • To enable interactive access to data
• To enable manipulation of these data
• To provide business manager &
analysts the ability to conduct
appropriate analysis.
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5. • Data warehouse
• Business analytics
• Business Performance Management
• User Interface
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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
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9. • Constructed with methodologies,
mainly metadata and ELT.
• It is also based on data marts, which
are repositories for departments and
various functions.
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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.
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11. • Reporting and queries
• Advanced analytics
• Data , text and web mining
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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.
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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…
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15. • Time savings
• Single version of the truth
• Improved strategies and plans
• Improved tactical decisions
• Efficient processes & cost saving
• Improved customer & partner
relationships
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16. • Faster, more accurate reporting
• Improved decision making
• Improved customer service
• Increased revenue
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18. Online Analytical Processing,
Reporting and Querying
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19. • Is the science of analysis.
• It refers to analysis of data and
information.
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20. • It provides the models and procedures to
BI.
• Involves tracking data.
• Analyzing data for competitive advantage.
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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.
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22. • It is also known as:
– Analytical processing
– Business intelligence tools
– Business intelligence applications or
– Business intelligence
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23. • Automating the thinking
• Uses complex quantitative techniques
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24. • Knowledge discovery: the process of
extracting useful knowledge from volumes
of data.
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25. • To identify valid, novel, potentially useful
and understandable patterns in data.
• Supported by:
– Massive data collection
– Powerful multiprocessor computers
– Data mining & algorithms
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26. • OLAP refers to a variety of activities
performed by end-users in online systems.
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27. • Routine: automatically generated and
distributed periodically to internal &
external subscribers on mailing lists.
• Ad-hoc: customized for specific users
when needed.
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