OLAP Business Metrics Library

Transcription

1 OLAP Business Metrics Library Tailored Analyses for Retailers Mass Data and complex Business Figures Dr. Sven Viergutz IBM Global Services Distribution IBM Germany

2 Agenda! Requirements for Merchandise Data Warehouses in Retail! Solution Overview! Added Value! Integration into Projects! Further Information / Contacts 2

3 Typical Data Warehouse Analyses in Retail Suppliers Supplier Relationship Logistics Customer Relationship Customers Manage product categories Manage supply chain Manage markets! Supplier Performance Evaluation (Revenue, Profit, Conditions, Service Level,...)! Analyses for Supplier Negiotiation Preparation! Supplier Collaboration (Demand Forecasting)! Category Management!... 3

4 Typical Data Warehouse Analyses in Retail Suppliers Supplier Relationship Logistics Customer Relationship Customers Manage product categories Manage supply chain Manage markets! Regional POS Benchmarks on Store Level! Customer Profitability! Product Placement! Promotion Tracking!... 4

5 Typical Data Warehouse Analyses in Retail Suppliers Supplier Relationship Logistics Customer Relationship Customers Manage product categories Manage supply chain Manage markets! Overstock / Out of Stock in Distribution Centres and Stores! Markdown Decisions for Seasonal Articles! Monitor of the entire Supply Chain!... 5

6 Giga- to Terabytes of inter-related Data... Products Time: Two Years on Days (even Hours) to Supply Chain 5000 Suppliers 10 Millions of Customers 6 30 Warehouses, DCs 500 Stores, each 100 Departments

7 ... because an integrated view is needed Coke has smaller margins than Pepsi since last month Mme Dupont buys Coke on Fridays Coke has had out of stocks In Distribution Center Paris but not in Calais 7

8 The System of Business Metrics on the SC data is varied... Benchmarks within Products and Suppliers Benchmarks in Time: Y/Y, YTD Benchmarks within SC: within Regions, within Customers,... Product X is in SC Position Y at Time T at a Price of Z Compound calculations Data along the Supply Chain 8

9 ... and it evolves over the Data Warehouse Lifecycle! New Projects =! New Data from along the Supply Chain =! More integrated views along the entire chain =! More compound information +! More complex benchmarks / statistics New compound calc s... Sequence of Data Warehouse Projects 9

10 Information Delivery is often more than OLAP Reports Enterprise Information Delivery! Representation of Information! Feeding of Information into Workflows! Exception Management! Statistical Analysis! Forecasting, Data Mining,... 10

11 Requirements for Merchandise Data Warehouse in Retail! Scalable and Integrated Data Architecture! Non proprietary Data Architecture (Flexibility and Openness)! = a Relational Data Warehouse! OLAP Access to every Level down to the lowest and across the entire Supply Chain Cube! Optimal Relational Access to the Data = ROLAP! Power User driven maintenance of Business Metrics! No Hard Coded Business Metrics! Typical Language Elements (Totals, Y/Y, Arithmetics, Ranks, Cums,...)! Information Delivery Framework! Integration of ROLAP Accessed Data into this Framework 11

12 The Business Metrics Library connects SAS Information Delivery components to DB2 UDB Relational Data Warehouse DB2 UDB Business Metrics Library Information Delivery Framework SAS! Connects Relational Data Schemes to SAS as it were MDDBs! Allows for User generated Business Figures on this scheme! Translates OLAP Reports and User Interactions (Drills,...) into SQL Queries! Uses ROLAP Features of UDB (Group By Cube, Rank,...)! Releases OLAP compatible Data into Information Delivery Environment 12

13 Registration of ROLAP Star Scheme through SAS WA SAS/Warehouse Administrator TM Registration of the Base Data Model Definition / Maintenance of the Data Cube (ROLAP Star Scheme with Aggregation Levels) 13

14 Definition / Maintenance of Business Figures Overview on existing Library Definition of new Figures by Point & Click 14

15 Current Building Blocks of the Library Ranking Y/Y comparison Cumulation Totals Relations to superior Levels Recursion to existing Figures Sums, Counts, Arithmetics Data along the Supply Chain 15

16 Enabler of IBM UDB ROLAP Technology Star Join ROLLUP Product Store Month CUBE Product Parallel Query CPU CPU CPU CPU On-Line Analytical Processing Summary Table Replicated Table Optimized SQL Bit-map technology dynamic and vector-encoded Advanced Cost-Based Optimizer Query Re-write Summary Tables Hash Join 16

17 Architecture of the Solution SAS OLAP Server Business Metrics Library Metric Interpreter SQL Engine Full-Client Generates Metrics At Runtime Web-Client Data Provider ROLAP DataMart UDB Aggregation Tables Σ 17 Star schema Underlying Data Warehouse Provision of the Base Figures

18 Added Value from existing SAS User Perspective! Enables the Transfer of High Volume MDDB Data to Relational Schemes! Therefore allows a Scalable, Flexible, Secure and Open Data Architecture! Leaves the SAS HOLAP environment unchanged (Registration of the ROLAP Data Mart is only through the Data Provider)! Enables a Flexible Environment for the Definition and Maintenance of Business Metrics! Supports Ease of Use by Point and Click! Evites any hard coded Definitions! Allows for short Development Cycles and extended Life Cycles! Allows for the Definition of Functional Hard Core Metrics (like Totals)! Allows for an optimized Handling of Performance Hard Core Metrics by UDB (like Count, Rank) 18

19 Added Value from Relational Data Warehouse Perspective! SAS does not only provide an OLAP tool, but an integrated Information Delivery environment! The Business Metrics Library can be considered as a Data Providing Engine, where the data can be released into configurable environment! This enables further Processing of the data beyond EIS:! Subsequent Presentation of Information through customized SAS Frontends! Subsequent statistical data processing (Forecasting, Data Mining,...)! Further workflow data processing (Exception Management, Information Flows, Collaborative Flows) 19

20 Integration into Projects! The Business Metrics Library is ready to use as an asset in SAS / UDB projects! It is entirely coded in SAS and is used by the SAS HOLAP process! Within its range of building blocks form the library, it is complete! Upon request, it can be further enlarged to new business requirements 20 and

21 Partnership between SAS and IBM! Solution has been piloted for a customer engagement! It has been finalized in a joint SAS PS / IBM GS engagement! The solution serves as an asset in a larger Data Warehouse engagement! It may be customized and further developed for specific purposes! There are several options for additional Consulting:! Installation / Customizing / Test / Cut over to production! Migration of current SAS data / OLAP environments! Customer specific enhancements related to Business Needs! Design / Implementation of ROLAP Data Marts! Design / Implementation of Base Data Warehouses! These services can be provided by IBM Global Services and / or SAS PS! A detailed approach is customer-specific 21 and

22 Contacts! IBM GS Distribution:! Dr. Sven Viergutz, Distribution Sector Central Region Lyoner Strasse 13 a D Frankfurt / Main Germany Tel.: / Mob.: viergutz@de.ibm.com! SAS Professional Services:! Andreas Behrens In der Neckarhelle Heidelberg, Germany Tel.: / Mob.: andreas.behrens@ger.sas.com 22 and

23 ?? Questions????? 23