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Cameron Hawthorne - E Bus Sales analysis with Olap and Disco

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Organisations that have deployed Oracle Discoverer reporting solutions in the E-Business Suite applications in their organisations over many years are asking how they can improve the performance of …

Organisations that have deployed Oracle Discoverer reporting solutions in the E-Business Suite applications in their organisations over many years are asking how they can improve the performance of these solutions. One possibility is to add the Oracle OLAP Option and have the data pre-aggregated in cubes ready for instant analysis by the end users.

This presentation will showcase a recent solution that was developed to perform Sales and Purchases data analysis using Discoverer, the OLAP Option, and Oracle Warehouse Builder.

It will provide a detailed look at how to bring such a solution together and help your organisation achieve similar query performance improvements.

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  • Audience Questions1. How many people are running Oracle E-Business Suite ? Financials such as GL, AR, AP ?2. How many people have built a custom reporting solution for their needs ? How many have purchased a solution ? From Oracle, such as OBI Applications ? Discoverer ? And from other vendors like GL Wand or Noetix Views ?3. How many people are looking for improvements to their query and report performance in E-Business SUite ?Hopefully I can provide some answers for you today, or at least some insight into the options available to you.

Transcript

  • 1. E-Business Sales and Purchasing Analysis using Discoverer Relational and Oracle OLAPCameron HawthorneAdvantage BI Consulting17 August 2010
    The most comprehensive Oracle applications & technology content under one roof
  • 2. Introduction
  • 3. Turbo charge your reports !
  • 4. Agenda
    What is OLAP ?
    Oracle’s OLAP solutions
    Case Study – Sunny Queen Farms
    Need more information ?
    Summary
  • 5. What is olap ?
  • 6. What is OLAP ?
    On Line Analytical Processing
    Differs from On Line Transaction Processing
    Multi Dimensional OLAP
    Relational OLAP
    Hybrid OLAP
  • 7. OLAP Features
    Dimensional representation of data
  • 8. Hierarchy definitions for dimensions
    OLAP Features
    Channel Dimension
    Sales Channel Hierarchy
    All Channels Level
    Class Level
    Channel Level
  • 9. OLAP Features
    Pre-Summarised data
    Customer – Ship To Code
    Product – SKU Code
    Time - Day
  • 10. OLAP Advantages
    Faster reporting of information – query response time
    Business like representation of data to users
    Fast display of rotating dimensions
    Drill down from summarised totals through hierarchies
    Analytical features
  • 11. OLAP Trade-offs
    Additional resources to pre-summarise data
    Time, Disk, Memory
    Management of data sparsity
    Cube design, composites of dimension values
    Additional movement of data
    From data warehouse or mart to cubes
  • 12. Oracle’s olap solutions
  • 13. Oracle’s OLAP Solutions
    Relational OLAP
    Fact Tables, Dimensions, Materialized Views
    Analytical SQL (Rollup, Cube, Group By, Rank etc)
    Multi-Dimensional OLAP
    Oracle Express Server
    Oracle Database Enterprise Edition OLAP Option
    Oracle Hyperion Essbase
    Hybrid OLAP
    Cube Organized Materialized Views
  • 14. OLAP Option Features
    Database Enterprise Edition Option
    The OLAP engine runs within the Oracle Database
    Dimensional objects are stored in their native multidimensional format
    Data security is administered in the standard way
    Applications can query dimensional objects using SQL
  • 15. OLAP Option Features
    In the database
    OLAP DML
    Functions, Commands, Programs
    Managing AW’s with DBMS_AW Package
    Security with grant and revoke
    Database backups, flash recovery
    Oracle Warehouse Builder Integration
    Analytical Workspace Manager
  • 16. OLAP Option Features
    Data Exploitation Software
    Oracle Business Intelligence 11g
    Oracle Discoverer Plus for OLAP
    Oracle OLAP Excel Add-In, Simba MDX
    Oracle BI Beans – J2EE development
    Oracle Application Express
    Any SQL Reporting Tool, using 11G OLAP Views
  • 17. Case study – sunny queen
  • 18. Sunny Queen Background
    Sunny Queen Farms
    100% Australian Owned company supplying high quality farm fresh eggs to consumers in all states
    Implemented Oracle E-Business Suite in 2001
    Selected Oracle Sales Analyzer as reporting solution
    Oracle Express Server database
    Windows and web clients
    Sales, Rebate, and Case Deal data
  • 19. SQ Reporting History
    2002 – Changed hierarchies, added budget sales data
    2003 – Added Purchasing actual data analysis
    2004 – Acquired new business – Egg and I, Started archiving
    2005 – Added Purchasing forecast data, changed rebate data focus to promotional analysis
    2006 – Upgraded to latest version of OSA, changed data model – new hierarchies and definitions
    2007 – Replacement Discoverer for OLAP solution using Oracle OLAP Option 10gR1
  • 20. SQ 2008 Problems
    Business model and staff changes over the years led to data model change requests
    Discoverer for OLAP issues:
    Missing OSA functionality
    OLAP 10gR1 software bugs causing significant outages
    Still relying on OSA during outages
    OSA out of support
    Everything on the 1 box
    Out of date OS and software patches
  • 21. 2008 OSA Architecture
  • 22. 2008 Disco OLAP Architecture
  • 23. Current Architecture
  • 24. Additional details
    Data drawn directly from E-Bus schemas
    Requires a knowledge of schemas and tables
    Not an E-Bus upgrade-proof solution
    Work-arounds required to meet OWB Basic Edition rules
    No Process Flow
    Shell scripting that calls OWB APIs to execute tasks
    No OLAP design integration
    Use Analytical Workspace Manager to design and build cubes
  • 25. Sales Analysis
    Sales measured in $$$ and Volume (Units, UOM, Kgs)
    Dimensions
    Product – 5 hierarchies incl. Brand, Segment, Size
    Geography – Territory and Customer Ownership structures
    Channel – Retail, Route Trade, Foodservice
    Warehouse – SQ Distribution Centres
    Time – Financial and Calendar Years
  • 26. Purchasing Analysis
    Purchases in $$$ and Volume (Units, UOM, Kgs)
    Dimensions
    Product – 5 hierarchies incl. Brand, Segment, Size
    Grower - Ownership structure
    Warehouse – SQ Distribution Centres
    Time – Financial and Calendar Years
  • 27. Margin Analysis
    Gross Margin
    Sales $$$ - Purchasing $$$
    Net Margin
    Gross Margin $$$ - Estimates of other variables costs $$$
    Needs common dimensions
    Product, Warehouse, Time
    Assumes product is sold in same timeframe it is sourced
  • 28. Variance Analysis
    Sales Budgets vsActuals
    Budgets loaded from .CSV files into Application Express app
    Financial estimates of sales performance at high level
    Purchasing Forecasts vsActuals
    Forecasts keyed into Application Express app
    Grower estimates at high level
    Provides managers with performance in context
  • 29. Benefits and Costs
    Benefits
    Improved query response times
    Stable environment, minimal outages
    Minimised impacts on main transaction system
    Data model that met current business requirements
    Costs
    Additional software licensing
    Additional hardware costs
  • 30. More information
    Oracle OLAP on Oracle Technology Network
    www.oracle.com/technetwork/database/options/olap
    Oracle by Example
    www.oracle.com/technology/obe/11gr1_db
    Mark Rittman’s blog
    www.rittmanmead.com/blog/
    Oracle User Group BI SIG
    www.oraclebiwa.org
  • 31. summary
  • 32. Summary
    What is OLAP ?
    OLAP Features
    Oracle’s OLAP software
    Enterprise Edition OLAP Option
    Sunny Queen Farms Case Study
  • 33.
  • 34. Contact Information
    For more information about today’s presentation, please contact:
    Cameron Hawthorne
    Managing Consultant
    Advantage BI Consulting
    W: www.advantagebi.com.au
    E: cameron@advantagebi.com.au
  • 35. Tell us what you think…
    http://feedback.insync10.com.au