711 Data Governance and Quality for a SAP Implementation Barbara Latulippe, Sr. Director Enterprise Data Governance & Quality Anand Singh Information

Transcription

1 711 Data Governance and Quality for a SAP Implementation Barbara Latulippe, Sr. Director Enterprise Data Governance & Quality Anand Singh Information Quality Paul Carlson SAP Program Office

2 EMC

3 LEARNING POINTS How data governance can support an SAP implementation EMC s approach starting up an Information Quality governance team to accelerate issue resolution for go-live Key fields measured for audit compliance Linking the financial impact of poor data quality Post go-live governance change management

4 The Case for Change EMC PAST Single-product Hardware Business Direct-sales Model For Enterprise Customers Small Manufacturing Supply Base Focused On Keeping Up With Growth Dramatic Business Model Change Continuous Acquisition Strategy Increased Need For Agility E M C T O D A Y DIRECT & INDIRECT SALES CHANNELS ACROSS MARKET SEGMENTS Expanding Customer Segments SMB/Mid-Market Focus MOVING DOWN MARKET High Volume/ Low Touch Model Decreasing Order Size GLOBAL MANUFACTURING SUPPLY BASE Over 50 Suppliers Across The World Contract Manufacturing BUSINESS SIMPLIFICATION Improved M&A Integration Leaner Operating Structure COST-CONSCIOUS COMPANY STRATEGY Do More With Less Flexible & Common DIVERSE BUSINESSES Hardware, Software, & Service Businesses Over 24 Product Families

5 Transformation Challenge: Transition from Oracle ERP to SAP Process Optimization - SRM Windchill to SAP PLM Cenit Workflow for Products Integrate Oracle CRM with SAP & Vertex External Audit Compliance Governance just starting up SAP Information Management Goal: Improve Data Migration Loads >98% Data not on critical path for project Successful External Audit Compliance Leverage Governance & IQ Team Implement Data Quality & Metrics WW Address Validation for Tax Compliance Data Cleansing for 4 Mock Loads

6 Big Bang

7 Quality Focus Focus on a quality business value proposition which necessitates the need for a governance organization Quality is intuitive and built Into processes

8 Levels of Governance Enterprise Governance Framework -All domains -Enterprise Programs -Common solutions adoption -Implementation Framework -On boarding Governance Facilitation -Enterprise IQ Metrics Enterprise Information Quality & Management Strategy, governance & quality to mange critical information shared across GBU s, Functions & Geographies Enterprise Value Stream -Domain Focus IQ Councils - Improve Collaboration - End-End Usability/Business Ready - DQ Integration across LOB/Apps - Policy Approval / Standards - Roadmap & Strategy - Issues List / Action Plans Customer Value Stream Product Value Stream PIM Governance Supplier Value Stream Human Resources Value Stream IT Value Stream Project Specific -Project Deliverable Focus -Data Conversion Ready -Ensures data works with design -Integrity to enterprise quality -Impacts 1 or more Value Streams -Data Conversation Quality Metrics Analytical MDM SAP Project..R1, R2, R3 ITaaS Local & Operational -Country Specific (EMEA) -Operational/Functional Execution -Capture, Create & Manage within Application -Functional/Plant Training Guides - Policy Execution and Adoption - Data Quality at Point of Entry Europe Customer Create Product Creation Product Lifecycle Process (NPI) Process Stewardship Product Readiness Stewards RSA Isilon

9 Value Stream Stakeholders L1 Value Stream: Customer Campaign-2-Retain Information Requestors Generate demand for new customers Producers Create, Maintain, Validate Information Consumers/ Customers Data Quality Acceptance Criteria Market To Lead Lead Generation Opportunity Mgmt Information Mgmt Products Quote 2 Cash Install Base & Field Svs Customer Services Partners Relation ships Project Integration Corporate Regions GBU s M&A Advisory & Support L2 Functional Key Stakeholders DB Marketing Lead Generation Direct/Indirect Sales Channel Customer Information Sales Order Processing Field Service Remote Support Svs Partner MAP/MDM RSA Chair EIM Barb Latulippe Field Marketing Professional Services Sales Hierarchy CDI A/R GS Ops eservices Propel/SAP Finance Rptg OAI Revenue Ops Pricing Mnfg SCM & Logistics IB Logistics Customer Quality ERA M&A Office of CIO Contracts Renewal Contracts elicensing VoC Analytics Legal Customer BTG PRM Credit & Collections Engineering PowerLink IIG IM Security Territory Alignment Sales Ops Educational Svs Ops Licensing Regions Global Business Services TCE Not just Order to Cash GBS Licensing L3 Key Shared Information which should be accurate, controlled, secure & managed (name, address, industry standards, contacts, phone numbers.)

10 IQ Council Delivered in 9 months Quality and Governance (Support) Business Rule Approval (Playbook) Scorecard Metrics & Review Policies & Knowledge Management Assign Stewards Security & Authorization Definition and Semantic Approval Data Flow Maps - Compliance Prioritization & Issues (Enhance) Issue Review and Remediation Work Request Prioritization New Request Reviews and Approvals Enterprise Integration Focused Workshops & Actions Cost Assessment of poor quality Change Management Process Strategy (Projects) Project Proposals Business & IT Collaboration

11 Audit Compliant Scorecards Data quality provides a trusted view of the data upon which to make key business decisions and data governance ensures it s integrity and continuous business process improvement Focus information quality and governance efforts on high-priority shared data elements (HVA: High Value Attributes) Collaborate on definitions of quality standards and acceptable quality levels Publish Scorecards/KPI s to understand and analyze data trustworthiness Data governance councils for attribute insight, accelerate problem resolution and new policies Benefits Eliminate Process Breakdowns Operational Efficiencies SAP Go-Live & Risk Mitigation Improved reporting and analytics

12 Data Integration & Architecture Use the Governance Council to validate your landscape Architecture Maps are Key Root Cause and Impact Analysis Semantic Meaning across enterprise Triggers and Events

13 Data in Motion Source System Accuracy Profiling for patterns on how data is used Fix the source Fix incomplete or missing data Transformation Rules Conversion Transformation Fields didn t load Truncation/Concatenation Parsing Logic Consistency of Tables (Regions/T005) Duplicating Custom logic mapping Field mapping and usages Business Readiness Customer Facing Documents Transactional Overwrites to Master Data Formatting Derived attributes / SAP configuration

14 Value of a Business Glossary MDM What is a customer Build business and IT alignment and collaboration in Master Data Management, Data Knowledge, Business Intelligence, Enterprise Integration and Data Science. Starting point for information governance programs, ownership including data stewardship, business term development, change management, enterprise search And accelerated development

15 Migration Problem for Transactions Quality MDM Vertex CRM SRM ECC No Customer Master Record Exists No Item Category Transport Zones not defined Ship to party not assigned No jurisdiction code can be calculated Terms of Payment not Defined Condition XXX missing pricing procedure No Idoc created Sold to party not maintained for sales area

16 Financial Impact 1 Attribute AR Delays in customer receiving invoice $X address reconciliation Cash flow impact LOG Postal Service Penalty Charges bad address $X per bad address for Logistics Penalties CS Overbilled customer for tax X calls per month from customers CS Customer Called and Complained Staff up additional X folks for data investigation across Multiple applications 1. Missing Region or Zip 2. Tax Jurisdiction Calculated Incorrectly 3. Key Address Fields not Printing on customer facing documents Bad Address CS FIN Rebilling Process Finance Accruals Rebilling of $x invoices a month, plus loss of revenue since customers don t call in when it s under Tax Accrual to off-set expected Over/under bills CQ Customer Satisfaction Lost Opportunity Frustrated customer does not Place additional orders

17 Not Actual Results Example Only Interactive Metrics

18 Go-Live is just the beginning Policies Documented New Requests IQ Change Management Knowledge Management IQ Councils

19 RETURN ON INVESTMENT 98% Master Data Accuracy at Go-Live Delivers Value to the business by focusing on right issues >600 Reusable Business Rules Accelerated Issue Resolution Prioritization Automation Reduction in Interface Errors Business Process Optimization Savings Fixing one MM field has potential to save >$3.0m Fixing one SD field has potential to save >$1.0m

20 Developed Core Competencies Information Integration Data Flows Data Triggers Data Synchronization Data models Data Authoring & Publishing Governance Accelerate Decisions Policies & Standards Quality & Compliance Access management Stewardship Attribute Ownership and Definitions Enterprise Business Process Integration Change Management Process Optimization Root Cause Analysis Issue Resolution Business Readiness Projects & MA Quality Metrics Business Rules Mgmt Scorecards 3 rd Party Enrichment Data Standards Matching Logic Trust Rules BI Optimization

21 Delivering Value Post Go-Live IQaaS Catalog New Processes Core Competencies Horizontal Service Definitions Self-Service Portals Charge Back Models Capabilities Tighter Business Alignment Horizontal Planning & Design Enterprise Change Management Organization Support New Skills & Solutions Enterprise Root Cause Analysis Domain Experts

22 IQM Scope Vision & Mission Objectives & Goals Alignment with BU/Corporate Objectives MDM Roadmap Value Proposition Best Practices Guiding Principles Stakeholder Management Data Mastering and Sharing Real Time Service Management 3 rd Party Enrichment Capabilities Information Lifecycle Architecture Model Lineage Collaboration & Integration Solutions Trust Rules Data Model Quality Metrics Business Rules Management Monitoring & Action Plans Continuous Improvement Scorecards Project Data Readiness Enterprise Impact & Business Readiness Root Cause Investigation Solution Collaboration Action Plans Facilitate Workshops Coordinate WR s Project IQ Assessment & Gap Analysis Information Excellence & Optimization Chair Councils Roles & Responsibilities Data Steward Membership Data Ownership & Accountability Arbitrates & Escalations Communications Policies & Procedures Process Documentation Access & Security Management Data Standards & Definitions Business Glossary Classifications

23 Catalyst for MDM Data Trust Knowledge Insight Quality Control Quality Control Steward Steward Sales Analytics MDM Foundational Platform Analytical Hub Go-to Market Attributes Duplication Remediation Hierarchy Mgmt Sales Data Model IQaaS Business Rules Mgmt Data Governance Business Glossary Scorecard/Monitoring WW Addressing IQaaS Operational MDM Enterprise Data Model Integrated Web App Real Time Quality Mgmt Data Authoring Trust Rules Manage by exception Single System Publish Global Business Process Enterprise MDM Native Integration Enterprise Publishing One Global ID Rich Content Big Data Intelligence Business Process / WF Optimization Information MDM PowerCenter ETL Batch Informatica IDQ/IDE Power Xchange SAP MetaData Manager Web Services Web Services Big Data

24 Knowledge Management Community Collaboration IQ Services Request Six Sigma Approach Build Awareness Policies Repository Collaboration Projects Ask Questions Blog & Discussion

25 Business & IT Collaboration

26 Identify & prioritize quick-wins Expand business questions and demand pipeline Develop capabilities Establish governance council to help accelerate decision making, information quality metrics and policies Document a Business Rules Playbook & Semantic Glossary Focus on root cause & financial impact Fix quality at the source systems Use Antidotes for impact Map the data in motion architecture & trigger events Solicit Advocates: Finance, Audit, Compliance, Legal Measure & Find Problems BEST PRACTICES

27 KEY LEARNINGS Governance Find the fires Dedicated Champion Quality vs. Governance Problem before policy Information Quality Start with data impacting transactional loads Quantify financial benefit Acquire new IQ skills Look for problems creating the burning platform Migration Measure data in motion Every mock Load uncovers new issues Data Synchronization is critical You need governance to resolve migration problems quickly and post go-live

28

29 THANK YOU FOR PARTICIPATING Please provide feedback on this session by completing a short survey via the event mobile application. SESSION CODE: 711 For ongoing education on this area of focus, visit

30 Methodology Input Output Tools Value Stream Calculator 3 Yr Collaborative Roadmap Repeatable Domain IQ Onboarding Business Glossary RACI Common Data Model BRR & Business Glossary Heatmap Calculator Data Quality Business Glossary eroom, Newsletter, Intranet

31