Oracle Hyperion Planning Case Study:
Sourcing Consolidated Data from
Hyperion Financial Management (HFM)
November, 2012
RJ Linehan, Managing Partner
rj@innovuspartners.com
Presentation Agenda
• Introduction
• Client Pain Points
• Solution Objectives
• Solution Architecture
• Process/Data Flows
• Design Elements
• Pitfalls to Avoid
• Q&A
Company/Presenter Profile
• Innovus Partners
 Oracle/Hyperion Enterprise Performance Management
 Oracle Gold Partner
 Certified Consultants with average of six years of consulting
experience
 Based in the New York Tri-State Area
 Follow us on Twitter, Facebook, and LinkedIn
• RJ Linehan
 Thirteen years experience consulting in the EPM/BI Space
 Successfully deployed over 35 EPM/BI solutions
 Key Industry experience: CPG, Retail, Insurance and Financial Services
Client Pain Points
• Client’s Current Budget Cycle
 Current Planning Tool
 Oracle Hyperion Financial Management (HFM)
 Lack of functionality for managing planning cycle
 Approval Process
 Planning Task Lists
 No standard means for data input
 Planning Input forms
 Lack of modeling capabilities
 Version Dimension
 Business Rules
 Performance Conflicts
 Actual Close / Forecast and Budget Cycles
Solution Objectives
• Introduce centrally-managed planning solution for
approximately 30 users
• Develop standard process that promotes ease-of-use
for user and administrator
• Minimize number of custom Excel models (Phase II)
• Introduce modeling capabilities and what-if analysis
• Alleviate constraints on performance of HFM Server
Solution Architecture
• Oracle Hyperion Planning
• Oracle Hyperion Financial Management (HFM)
• Extended Analytics
• SQL Server Database Services
• SQL Server Integration Services
Separate
Subsidiary GL’s
HFM
Subsidiary
Budgets
Metadata
Planning
Application
Essbase
Application
Task Flow
EA POV
Metadata changes
are “Pushed” from
Planning to Essbase
Manual Changes
Extended Analytics
SSDBS
Star Schema
SSIS
Load Rule
PeoplSoft GL
Feed to HFM
Process/Data Flows: HFM to Planning
Logical Presentation
Staging Tier – SQL Server Client TierDB App Tier – HFM
HFM Task Flow
Essbase
Cube
Sub
BudgetHFM Application
SQL DB
EPM11_HFM_EA
SSIS Package
Flat File
Export
User
Action
Process Flow
Data Flow
Trigger
File
DB App Tier – Planning/Essbase
Batch
Script
VB Script
Windows
Scheduler
Batch
Script
MXL
Script
Process/Data Flows: Planning to HFM
Logical Presentation
Staging Tier – SQL Server Client TierDB App Tier – HFMDB App Tier – Planning/Essbase
Process Flow
Data Flow
User
Action
Trigger
File
Batch
Script
VB Script
Essbase
Cube
SSIS Package
Flat File
Export
HFM Application
HFM Load
File
Windows
Scheduler
Batch
Script
MXL
Script
Process/Data Flows: Automation
• On-demand Solution
 HFM Task Flows to export data from HFM
 Batch file to launch on-demand process
 File checker via Windows Scheduler
 VB script launches two batch scripts
Dynamic SQL to remotely execute SSIS Package
MXL script to load to Essbase
HFM Data: Intercompany Transactions and Eliminations
• What are they?
 Intercompany Transactions
An accounting transaction created from activity between two
entities in same company
• Eliminations
 Offset of Intercompany Transaction via HFM Consolidation
• Pose a consolidation problem in Planning
• HFM dimensions that provide support for intercompany
transactions and eliminations:
 Entity
 Source of transaction
 ICP Attribute defines ICP partners
 Eliminations occur at first parent with common currency
 ICP
 Target of transaction
 Accounts
 Intercompany accounts are tagged in dimension
 Plug account - Attached to intercompany account to force accurate offset
 Value Dimension (Currency)
 Entity Currency
 Elimination
 Reporting Currency
HFM Data: Intercompany Transactions and Eliminations
HFM Data: Key Shared Dimensions
• Accounts Dimension
• Entity Dimension
• ICP Dimension
• Value Dimension (Currency)
• Data Type Dimension
• Version Dimension
HFM Data: Key Shared Dimensions
Accounts Dimension
HFM Data: Key Shared Dimensions
Entity Dimension
HFM Data: Key Shared Dimensions
ICP Dimension
HFM Data: Key Shared Dimensions
Value Dimension (Currency)
HFM Data: Key Shared Dimensions
Data Type Dimension
HFM Data: Key Shared Dimensions
Version Dimension
HFM/Planning: Dimensions
Planning Dimensions & Member Selection HFM Dimensions & Member Selection
Dimension Member Selection Dimension Member Selection
Account
@REALTIVE("NetProfit", 0), @RELATIVE("Assets",
0), @RELATIVE("LiabEquity, 0) Accounts
{Assets.[Base]}, {LiabEquity.[Base]},
{NetProfit.[Base]}
C3 No_Custom3 C3 [None]
C4 No_Custom4 C4 [None]
CF No_CF C2 TotalC2
DataType DataPrePlanAdj C1 DataPostAdj
PlanInput DataPrePlanAdj
Entity @RELATIVE("CONSOL", 0) Entity {CONSOL.[Base]}
FiscalYear FY08 FiscalYear 2008
FY09 2009
FY10 2010
FY11 2011
ICP @REALTIVE("ICP_TOP", 0) ICP {[ICP TOP].[Base]}
Period Jan:Dec Period Jan:Dec
ReportCurrencyBase_Entity_Local_Total Entity Currency <Entity Curr Total>
Elimination (Value) <Elimination>
Scenario Actual Scenario Actual
NovFcst NovFcst
10_Budget 10_Budget
Version Working N/A N/A
FROM_HFM N/A N/A
Final N/A N/A
N/A N/A Periodic Periodic
Sourcing from HFM: Pitfalls to Avoid
• POV Mapping (Planning/HFM)
 Take time to properly map dimensions
• Use ICP Dimension
 Assists with defining Entity/ICP relationships in calc scripts
• Two Distinct Data Loads to Planning
 Working (Planning)
 Currency conversion in Planning
 Aggregate Entity, ICP, and Data Type Dimensions
 Final (HFM)
 Currency conversion in HFM, Load to Planning
 Aggregate ICP and Data Type Dimensions
• HFM Task Flows
 Properly configure to execute batch script
• Using Extended Analytics
 Use Standard Format when extracting Report Currency (USD)
 Extract dynamic accounts from HFM
Oracle Hyperion Planning Integration Strategy:
Sourcing Consolidated Data from
Hyperion Financial Management (HFM)
Q&A
RJ Linehan, Managing Partner
rj@innovuspartners.com
Oracle Hyperion Planning Case Study:
Sourcing Consolidated Data from
Hyperion Financial Management (HFM)
November, 2012

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Oracle Hyperion Planning Case Study: Sourcing Consolidated Data from Hyperion Financial Management

  • 1. Oracle Hyperion Planning Case Study: Sourcing Consolidated Data from Hyperion Financial Management (HFM) November, 2012 RJ Linehan, Managing Partner [email protected]
  • 2. Presentation Agenda • Introduction • Client Pain Points • Solution Objectives • Solution Architecture • Process/Data Flows • Design Elements • Pitfalls to Avoid • Q&A
  • 3. Company/Presenter Profile • Innovus Partners  Oracle/Hyperion Enterprise Performance Management  Oracle Gold Partner  Certified Consultants with average of six years of consulting experience  Based in the New York Tri-State Area  Follow us on Twitter, Facebook, and LinkedIn • RJ Linehan  Thirteen years experience consulting in the EPM/BI Space  Successfully deployed over 35 EPM/BI solutions  Key Industry experience: CPG, Retail, Insurance and Financial Services
  • 4. Client Pain Points • Client’s Current Budget Cycle  Current Planning Tool  Oracle Hyperion Financial Management (HFM)  Lack of functionality for managing planning cycle  Approval Process  Planning Task Lists  No standard means for data input  Planning Input forms  Lack of modeling capabilities  Version Dimension  Business Rules  Performance Conflicts  Actual Close / Forecast and Budget Cycles
  • 5. Solution Objectives • Introduce centrally-managed planning solution for approximately 30 users • Develop standard process that promotes ease-of-use for user and administrator • Minimize number of custom Excel models (Phase II) • Introduce modeling capabilities and what-if analysis • Alleviate constraints on performance of HFM Server
  • 6. Solution Architecture • Oracle Hyperion Planning • Oracle Hyperion Financial Management (HFM) • Extended Analytics • SQL Server Database Services • SQL Server Integration Services
  • 7. Separate Subsidiary GL’s HFM Subsidiary Budgets Metadata Planning Application Essbase Application Task Flow EA POV Metadata changes are “Pushed” from Planning to Essbase Manual Changes Extended Analytics SSDBS Star Schema SSIS Load Rule PeoplSoft GL Feed to HFM
  • 8. Process/Data Flows: HFM to Planning Logical Presentation Staging Tier – SQL Server Client TierDB App Tier – HFM HFM Task Flow Essbase Cube Sub BudgetHFM Application SQL DB EPM11_HFM_EA SSIS Package Flat File Export User Action Process Flow Data Flow Trigger File DB App Tier – Planning/Essbase Batch Script VB Script Windows Scheduler Batch Script MXL Script
  • 9. Process/Data Flows: Planning to HFM Logical Presentation Staging Tier – SQL Server Client TierDB App Tier – HFMDB App Tier – Planning/Essbase Process Flow Data Flow User Action Trigger File Batch Script VB Script Essbase Cube SSIS Package Flat File Export HFM Application HFM Load File Windows Scheduler Batch Script MXL Script
  • 10. Process/Data Flows: Automation • On-demand Solution  HFM Task Flows to export data from HFM  Batch file to launch on-demand process  File checker via Windows Scheduler  VB script launches two batch scripts Dynamic SQL to remotely execute SSIS Package MXL script to load to Essbase
  • 11. HFM Data: Intercompany Transactions and Eliminations • What are they?  Intercompany Transactions An accounting transaction created from activity between two entities in same company • Eliminations  Offset of Intercompany Transaction via HFM Consolidation • Pose a consolidation problem in Planning
  • 12. • HFM dimensions that provide support for intercompany transactions and eliminations:  Entity  Source of transaction  ICP Attribute defines ICP partners  Eliminations occur at first parent with common currency  ICP  Target of transaction  Accounts  Intercompany accounts are tagged in dimension  Plug account - Attached to intercompany account to force accurate offset  Value Dimension (Currency)  Entity Currency  Elimination  Reporting Currency HFM Data: Intercompany Transactions and Eliminations
  • 13. HFM Data: Key Shared Dimensions • Accounts Dimension • Entity Dimension • ICP Dimension • Value Dimension (Currency) • Data Type Dimension • Version Dimension
  • 14. HFM Data: Key Shared Dimensions Accounts Dimension
  • 15. HFM Data: Key Shared Dimensions Entity Dimension
  • 16. HFM Data: Key Shared Dimensions ICP Dimension
  • 17. HFM Data: Key Shared Dimensions Value Dimension (Currency)
  • 18. HFM Data: Key Shared Dimensions Data Type Dimension
  • 19. HFM Data: Key Shared Dimensions Version Dimension
  • 20. HFM/Planning: Dimensions Planning Dimensions & Member Selection HFM Dimensions & Member Selection Dimension Member Selection Dimension Member Selection Account @REALTIVE("NetProfit", 0), @RELATIVE("Assets", 0), @RELATIVE("LiabEquity, 0) Accounts {Assets.[Base]}, {LiabEquity.[Base]}, {NetProfit.[Base]} C3 No_Custom3 C3 [None] C4 No_Custom4 C4 [None] CF No_CF C2 TotalC2 DataType DataPrePlanAdj C1 DataPostAdj PlanInput DataPrePlanAdj Entity @RELATIVE("CONSOL", 0) Entity {CONSOL.[Base]} FiscalYear FY08 FiscalYear 2008 FY09 2009 FY10 2010 FY11 2011 ICP @REALTIVE("ICP_TOP", 0) ICP {[ICP TOP].[Base]} Period Jan:Dec Period Jan:Dec ReportCurrencyBase_Entity_Local_Total Entity Currency <Entity Curr Total> Elimination (Value) <Elimination> Scenario Actual Scenario Actual NovFcst NovFcst 10_Budget 10_Budget Version Working N/A N/A FROM_HFM N/A N/A Final N/A N/A N/A N/A Periodic Periodic
  • 21. Sourcing from HFM: Pitfalls to Avoid • POV Mapping (Planning/HFM)  Take time to properly map dimensions • Use ICP Dimension  Assists with defining Entity/ICP relationships in calc scripts • Two Distinct Data Loads to Planning  Working (Planning)  Currency conversion in Planning  Aggregate Entity, ICP, and Data Type Dimensions  Final (HFM)  Currency conversion in HFM, Load to Planning  Aggregate ICP and Data Type Dimensions • HFM Task Flows  Properly configure to execute batch script • Using Extended Analytics  Use Standard Format when extracting Report Currency (USD)  Extract dynamic accounts from HFM
  • 22. Oracle Hyperion Planning Integration Strategy: Sourcing Consolidated Data from Hyperion Financial Management (HFM) Q&A
  • 23. RJ Linehan, Managing Partner [email protected] Oracle Hyperion Planning Case Study: Sourcing Consolidated Data from Hyperion Financial Management (HFM) November, 2012