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.

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

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

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