Marvels of Material Master Data Solved with SAP Business Objects Carla Cook Suncor (C Cubed Information Services Inc) Bill Towsley Suncor Peter Aynsley-Hartwell Utopia Inc.

What We Will Cover Suncor Overview The Data Migration Project The Tools & Approach The Reality and The Results Key points to Take Home Questions

Suncor Energy Suncor Energy is the largest Canadian Oil and Gas company 300,000 plus bbls/day synthetic crude oil 4 refineries totaling 450,000 bbls/day 1,500 plus retail and wholesale outlets 350 different lubricant and specialty fluid products Implemented SAP enterprise-wide in 2006 Owner of Petro-Canada (SAP since 1993)

Data Migration Project

Overall Scope Integrate former Petro-Canada processes and data into Suncor SAP Legacy Systems Source: PeopleSoft SAP ECC 6.0 SAP CRM Target: SAP MDM SAP SRM

Overall Scope SAP Modules FI/CO, MM, SD, PM,PS, HRM, CRM, SRM 80 Objects requiring ETL (Extract Transform Load) 30 Objects managed with SBO Data Services Total timeframe of 13 months with 3 staged releases Systems Integration – Deloitte Data Migration – Suncor/SAP/Utopia SAP Support - IBM Slide 6

Project Timelines and SBO Data Services Landscape The Data Migration Project Project Timelines and SBO Data Services Landscape Slide 7

2010 2011 2012 Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct R3 Integration Testing M&D Lubes R3 go-live (8/2) I&O Montréal Edmonton/Burrard (non-distribution) BUILD (2/11) Deploy QA1 R3 ITC1 (3/18) R3 ITC2 R3 UAT (6/3) I&O go-live (10/3) QA2 (4/15) (7/1) S1 S2 S3 Montréal go-live (10/31) FRICEW Build – FUT Readiness 100% Development (1/28) (6/3) QA3 Priority 3 (12/15) S1 S2 S3 Edmonton go-live (1/30) (2/11) Functional Unit Testing Para. Perf. (7/1) Data Conversion Build / Cleansing Data Cleansing 2nd Data Trial – All Objects (~12/17) ITC Prep. (3/25) BPP Updates/Creation Change, Training & Communication Training Devel. Complete (1/28) Release System Freeze Security Build Security Testing (increasing scope) Legacy PC to Suncor BW Migration To Be Data Model SPIM Gate-4 Master Queries WB/Query Ration./Dispo. LPC User WB/Query Build/Test R2B PSSP Build (Sustain.) R2B PSSP Testing (Sustain.) R2B PSSP Deploy (Sustain.) HR Build R3/R4 FUT Prep. HR FUT HR PR1 HR PR2 HR PR3 2 CCD’s & 70% Development (1/21) R2B HR GL Prep 100% Config & Development (2/28) 8 Key Milestone / Interim Milestone/ Deliverable Completion Dates Phase Completion Milestone Dates

Landscape - SBO Data flows in the Suncor Landscape DEV SAP Q DR4 Client 305 LPC Prod Copy IQ2 Extract data to be moved Load converted data Extract Configuration Oracle DB/Server 500GB SAP Q SR4 LPC Prod IPR Extract data to be moved Load converted & de-duplicated data Extract Configuration Oracle DB/Server 500GB Suncor Prod PR1 to de-duplicate QA SAP Q SR4 Final Build LPC Prod IPR Extract data to be moved Load converted & de-duplicated data Extract Configuration Oracle DB/Server 500GB Suncor Prod PR1 to de-duplicate PROD Slide 9

Data Migration Challenges The Data Migration Project Data Migration Challenges Slide 10

Data Migration Challenges Extracting from a live production system Difficult to do cleansing, de-duplication at source Loading live into production landscape Need to move millions of records in a short time without disrupting existing system Complex data mapping Source and target not nearly the same configuration

Data Migration Challenges Moving target Short time frame means developing while continuing to refine data mapping spec Agile ETL required Needed to be able to ETL, validate, refine, repeat De-duplication Data cleansing after extract Slide 12

Technology Approach and Methodology Organization The Data Migration Project Tools and Approach Technology Approach and Methodology Organization Slide 13

Technology SAP Business Objects Data Services SAP NetWeaver MDM SAP Legacy System Migration Workbench SAP Standard IDOCs (Intermediary DOCument) Custom ABAP programs

Technology The SAP Business Objects Data Services

Approach and Methodology Utilised SAP Best Practices for Data Quality SAP’s Enterprise Information Management (EIM) Best Practices provides a repeatable process to deliver consistent, sustainable results. Implementation of business rules provides automation of key processes for the data migration process. Integrate quality checks into all data touch points for on-going data governance. Data Quality for all data: Customer, Supplier, Product, and beyond. Manages the process throughout the entire ETL event.

Approach and Methodology Legacy Data Environment Data Staging and Test Environment Loading LSMW Files IDocs Pre-Built load routines for SAP Objects Target Environment Dashboards and Business Reporting Performance Analysis Staging Area SAP Configuration Extraction SAP Flat Files/ Excel Data Services Platform Cleanse Name Parsing Address Parsing & Correction Material/Product Parsing Matching Validate & Load Transform Business Validation Rules Automatic SAP Config Validation Data into SAP structure Extract & Profile Databases Applications Reconciliation XML Transparency, Communication and Governance,

Approach and Methodology

Organization - Data Mgmt Operational Structure

Organization ETL Team SBO MDM Business Function DM Focal (lead) 30 Objects 6 on-shore 4 off-shore 3 on-shore 3 off-shore 30 on-shore 5 on-shore (split between 30 objects) Slide 20

The Reality and The Results The Data Migration Project The Reality and The Results Why ETL? How we utilized the tools Benefits What would we do differently? Slide 21

Sample Data Objects – why ETL Volume (Source) Complexity Data Quality Transformation Rules (Target) Pricing Conditions 1,000,000 High Complex Vendor 95,000 Medium Low 15,000 Product – Light Oils 339 339 x 1500 plants 508,500

How we utilized the tools A look under the hood at the Material Master ETL Slide 23

Materials: Data Flow & Implementation Steps SBO Tasks MDM Tasks 3 Import Materials into MDM via XML PI PC DATA (SAP - IPR) Sequential updates 5 2 MATNR comes back MDM 1 Dedupe / Match / Validate LEIH – LEIH HIBE – Z005, Z007, Z013, Z016 RHIB/FHIB – Z006 ? - Z008 Z015 – Service masters ? - Z017? SAP IR4 XML Data SBO LEIH Z005 Z006 Z007 Z008 Z013 Z015 Z016 Z017 Implement scenarios below. 4 XML files on MATMAS05 format > 1000 records each file 6 X-ref XREF Scenario #1 (update) LPC Material exists in Suncor. We will need to extend the Suncor Material with the PC plant NOTES: * Neither SBO or MDM are pulling in Suncor Materials * MDM will have no data to begin Scenario #2 (Create) LPC Material does not exist in Suncor Material to be created and duplicate MATNRs to be added to record Slide 24

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The Benefits - Compare Release 1 with Release 3 Release 1 (July 2010) ETL using ABAP and SAP MDM Extract from source, transform in-flight load to MDM Mapping changes required ETL re-process(14 hrs for Materials) Release 3 (July 2011) Utilizing SAP Business Objects Data Services and the SAP Data Migration Framework Mapping changes require only a re-run of specific SBO jobs (minutes not hours)

The Benefits - Utilized SAP Technology Connect directly to SAP for extraction by OBJECT Utilizes the data model table structures and relationships IDOCS for Loading Using standard IDOC identified inappropriate screen customizations transported into the target system

The Benefits - Utilized SAP Technology Pre-Validation of Check Values before loading No requirement for trial loads to test the data Automatically adjusts for configuration changes Data in a common staging area Easy to update and repeat if rules/requirements changed Cross object validation easy eg PO ->Vendor -> Material -> PIR Slide 31

What would we do differently? Follow best practices more stringently Use the end-to-end process rather than break out to “existing” custom ABAP and LSMW Not allow acceptance testing to be disconnected from data loads Test scenarios need to use loaded data and be flexible Understand the target configuration e.g. Custom user-exits on forms not supported by BAPIs

Key Points to Take Home What worked for Suncor Slide 33

What worked for Suncor Establishing a strong data management team Using standard processes and tools wherever possible Using a robust ETL tool that met our key requirements of: Flexibility Agility Repeatability

Peter Aynsley-Hartwell (C Cubed Information Services) Bill Towsley Suncor Energy btowsley@suncor.com Peter Aynsley-Hartwell Utopia Inc peter@utopiainc.com Carla Cook Suncor Energy (C Cubed Information Services) carla.cook@ccubedis.com Q&A

March 27 – 30, 2011 Hyatt Regency Huntington Beach Resort and Spa Huntington Beach, California

SAP Data Migration Framework Subhead (Arial 40 Bold) Text (Arial 40 Regular) Demoted Text (Arial 34 Regular)

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