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Reviewing Oracle Enterprise Performance Management
A briefing presented by Frank Laffey
The Approach
press the down arrow
How do you access the data?Client Tier
Browsers the
connect to web
based software.
Specific clients
needed to develop
the software.
Middle Tier
Application Server Web Server Services
And where is the data stored?
Relational Databases Essbase Databases
Typical structure involves metadata defined by
dimensions
Measure
Version
Territory
Year
Customer
Time Period
Type of
Data
As depth is added to the
dimensionality, the ability to analyze
along the follow lines presents itself to
the user:
• Drill in or out from a single point to see
more or less data
• Analyze variances for
• Time periods
• Data types like actual or budget
• Customer type
• Territories
As depth is added to the
dimensionality, the ability to analyze
along the follow lines presents itself to
the user:
• Drill in or out from a single point to see
more or less data
• Analyze variances for
• Time periods
• Data types like actual or budget
• Customer type
• Territories

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A8 activity 2

  • 1. Reviewing Oracle Enterprise Performance Management A briefing presented by Frank Laffey
  • 2.
  • 3. The Approach press the down arrow How do you access the data?Client Tier Browsers the connect to web based software. Specific clients needed to develop the software. Middle Tier Application Server Web Server Services And where is the data stored? Relational Databases Essbase Databases
  • 4. Typical structure involves metadata defined by dimensions Measure Version Territory Year Customer Time Period Type of Data
  • 5. As depth is added to the dimensionality, the ability to analyze along the follow lines presents itself to the user: • Drill in or out from a single point to see more or less data • Analyze variances for • Time periods • Data types like actual or budget • Customer type • Territories
  • 6. As depth is added to the dimensionality, the ability to analyze along the follow lines presents itself to the user: • Drill in or out from a single point to see more or less data • Analyze variances for • Time periods • Data types like actual or budget • Customer type • Territories