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Oracle EPM at Oracle:
Hyperion Planning and Oracle EssbasePresenters:
Matthew Bradley, VP, EPM Applications Raju Krishnamoorthy, Director, AIT
Jim English, VP Finance
ORACLEPRODUCT
LOGO
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We run the applications that run Oracle
We drive enhancements based on our experienceWe share best practices with our customers
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How Oracle Replaced Its
Legacy Budgeting and Planning Systems
and lived to tell about it
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In the beginning
• Legacy systems were in place across Oracle
• Financial reporting needed a consistent set of tools
• No standard solution for Corporate and LOB
• No enterprise-wide reporting solution
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What we needed
• Replace legacy systems
• Implement “Best in Class” solution – standardize!
• Provide unified and integrated reporting solution
• Incorporate enterprise BI and effective change
management
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Legacy architecture
Consol Ledgers (GL)
Acquisition Ledgers (GL)
Primary Ledgers (GL)
Oracle Financial Analyzer (Multi dimensional Cubes)
E n
d
U s e r s
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Where we started:
56
# 5)6
21)6
! 5
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Oracle’s EPM Strategy
Corporate Reporting (CORE)(Essbase)
D i v i s i o n a l L O B
A
p p l i c a t i o n s
( P l a n n i n g )
CRM
Corporate Data
Warehouse
%(
DRM
ERP
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Definitions
• Aggregate Storage Option (ASO) – Fast aggregation
– Large, sparse data sets
– Large outlines
– No specialized calculations required in the cube
• Block Storage Option (BSO) – Data entry / Planning
– Complex calculations / allocations
– Separate data entry from data loads – Replicated partitions
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Take One
BSO only architecture
• All data entry
• All actuals data load
• All required transformations
• Aggregation of dataTake One
BSO
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But there were problems
• Data aggregation took too long
• Extensive downtime
• Data transformations took hours
• Unpredictable and inconsistent
It just didn’t work.
Good tool. Bad implementation.
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Back to the drawing table
• Explored various options to fix the issue – Essbase 32bit vs. 64 bit option
– Tuning various calc scripts
– Reduce the amount of data in the cube
• Partnered with PD to redesign the solution – Oracle’s Size + Complexity of requirements demanded a different
approach
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Complexity
. :
. 461+3&>7,
&$## -2)2 &$## -:61
&$##$# -411
&$#*# -311
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Take Two
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R e p o r t i n g
F o r e c a s t ,
B u d g e t
e n t r y
Forecast,Budget, etc
(ODI)
End Users
Data EntryBSO cube
Actuals ASO cube
The Hybrid ASO/BSO Architecture
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Hybrid ASO/BSO architecture worked
• All Corporate forecasting/budgeting in Corporate
Reporting (CORE)
• Source of truth for internal and external reporting
• Global solution covering all LOB 24/7
• 1000+ users
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What did this REALLY get us? Results!
56 -2 5611=
# 5)6 61 651=
21)6 86 951= ! 5 ?41 911=
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Planning is paramount!
• Settle on the dimensionality early on• Design the dimensions to allow for ease of synchronization
• Synchronize dimensions between cubes
• Follow best practices• Establish a metadata maintenance process
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What were Oracle’s technical considerations?
• BSO performance – Fragmentation
– Commit blocks
– Memory requirements during outline restructure
• ASO performance considerations
– Stored and dynamic dimensions
– Logical clear vs. physical clear during data loads
The Special Sauce
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What did we learn?
• The right tools = dramatic performance improvement – Hybrid ASO/BSO architecture
– Relational database
• Intermediate data store (staging area)
• Automation of various business rules
– Oracle Data Integrator • End to end automation (ETL)
• Pre-built integration with EPM
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What The Future Holds
• Additional Essbase/Planning Solutions
• OBIEE 11g on Essbase – Zero data discrepancy between
OBIEE 11g and Smart View
• Blending data between reportingsystems (Global DW, CORE, ODS)
• Pre-requisites
– Conform dimensions – Common security definitions