Better Data is Everyone s Job! Using Data Governance to Accelerate the Data Driven Organization

Transcription

1 Better Data is Everyone s Job! Using Data Governance to Accelerate the Data Driven Organization

2 Intros - Name - Interest / Challenge - Role

3 Data Governance is a Business Function Data governance should be managed as a business function, no different than Corporate Finance or Human Resources

4 Corporate Finance CHARTERED TO PROTECT AND OPTIMIZE BUSINESS VALUE DERIVED FROM: FINANCIAL assets ENABLED THROUGH EFFECTIVE USE OF TECHNOLOGY: e.g., ERP, Spreadsheets, FP&A tools, BI/DW Human Resources Data Governance PEOPLE assets DATA assets e.g., HRMS, performance mgmt, recruiting apps e.g., Data integration, DQ, MDM, ILM, data security, BI/analytics

5 Data Governance Maturity Stages IT-driven Business-driven 0: Unaware Minimal focus on data quality or security. Data not prioritized in any meaningful, actionable way. Zero measurement. No activity Fragmented IT efficiency and compliance 1: Initial Primarily grassroots driven by a few passionate individuals. Implement ad hoc rules, policies and/or standards as functional requirements into IT project. Measured primarily on success of technology release. Ad hoc Risk reduction, cost controls, & business efficiencies 2: Repeatable Still grassroots but moving up to an EA or IT management level. Documented IT governance and EA standards driving metadata reuse and improved collaboration across IT projects. Measured primarily on improved IT efficiencies. Pilot Greater compliance, Efficiency, and support for revenue growth 3: Defined Begins more topdown sponsorship, but primarily senior IT. Adopt competency centers and centers of excellence (e.g., ICC; BICoE). IT-led, but business involved. Primary measured on operational metrics and SLAs. Project Strategic differentiation 4: Managed Data governance program sponsored by business leaders. Initiated as part of a broader strategic enterprise information management program. DG lives through multi-phase, multiyear efforts but measured based on success of program. Program. 5: Optimized Top executive/boardlevel sponsorship and support. Data governance embraced as a self-sustaining core business function managing data as a corporate asset. Measured on total impact to the business, not just confined to specific programs or strategies. Function Holistic

6 Data Governance Maturity Benchmarks Source: GovernYourData.com

7 Informatica Data Governance Maturity Assessment Tool: Assess and Benchmark Your Current State Reality

8 Data Governance is not and should Never have been About the Data the vision must be to improve the business processes, decisions and interactions trusted, secure data enables!

9 Identify candidate business opportunities 1. What are the top business imperatives as defined by your most senior leadership? 2. What organizational business processes, decisions and stakeholder (e.g., customer, partner, employee) interactions are most important in support of these top imperatives? 3. What data and applications are used to support those processes, decisions and interactions? Data Scope thousands of relevant data items to dozens or hundreds of critical

10 Use Discovery Processes to prioritize roadmap 4. What upstream people, systems, and processes create, capture, and update that data? 5. What is the business end user s level of confidence in the security and trustworthiness of that data? Data Repeat process and reassess priorities ongoing (quarterly or bi-annually at minimum)

11 Many business opportunities can drive data governance Revenue growth Market share growth Product portfolio growth horizontal and/or vertical Footprint growth

12 Many business opportunities can drive data governance Reduced/optimized spending Cost savings Improved efficiencies

13 Many business opportunities can drive data governance Business transformation Optimal customer experience Optimized supply chain

14 Many business opportunities can drive data governance Compliance risk Information Security/Privacy Avoidance of & defense from illegal activities Contractual risk

15 Welcome To GovernYourData.com

16 Business Opportunity Prioritization Top 10 business opportunities # Business Opportunity Name 1 Reduce ediscovery risk 2 Improve customer satisfaction scores 3 Improve call center efficiency 4 Improve financial reporting 5 Optimize supply chain 6 Reduce global data sync (GDSN) failures 7 Improve upsell/cross-sell 8 Introduce new mobile ecommerce channel 9 Accelerate acquisition integration 10 Improve sales territory alignment process Business Value Business Opportunity Name Consider Prioritize Ignore Experiment High <--- Investment & Effort ---> Low 0.00

17 Holistic Data Governance and Stewardship Senior Executive Driven Holistic Data Governance Holistic Data Stewardship Front-Line Business And IT Enabled

18 Holistic Data Governance Roles and Dependencies Operations Optimization Governance Council Data Stewardship Operational Implementation Head of Data Governance, Governance Council, Governance Board Policy setting Enterprise Data Steward, Data Analyst, IT Analyst, Business Analyst Policy enforcement IT Custodian, Data Owner, Data Custodian, Application Manager, Business Application User Policy execution and automation Policy design, policy library, policy performance, policy audit & history Metadata, glossary, workflow, knowledge base, audit, history Quality, monitoring, reuse, scalability, data entry, remediation Policy Optimization

19 Data Governance Roles and Responsibilities Drive X-functional: Prioritization Resource allocation Approvals Broader funding Enforce collaboration Steering Committee Facilitation Communication Measurement Escalation Business case Data Governance Leader/Driver Vision Evangelism Funding Remove barriers Executive Sponsor(s) Analysis Definition Business/IT liaisons Education Ensure compliance Mitigation Business and IT Stewards

20 Data Governance Model Example Executive Steering Committee Approves Policies and Processes Issue Resolution Tactical Strategic Executive Executive Steering Committee Data Governance Council Selected topics, issues roll up to a higher level Data Governance Council Develops vision and mission Resolves Issues Monitors compliance and performance Promotes cross-domain data governance Drives continuous improvement with policies and processes Ensures sustain activities occur within domains Operational Work Group Operational Work Group Initiates quality audits Monitors audits Identifies issues Monitors compliance Delivers training 2015 Informatica. Proprietary and Confidential

21 Data Governance Process Stages Discover Data discovery Data profiling Data inventories Process inventories CRUD analysis Capabilities assessment Measure and Monitor Proactive monitoring Operational dashboards Reactive operational DQ audits Dashboard monitoring/audits Data lineage analysis Program performance Collaborate Business value/roi IT Business Define Business glossary creation Data classifications Data relationships Reference data Business rules Data governance policies Other dependent policies Key Performance Indicators Apply Automated rules Manual rules End to end workflows Business/IT collaboration

22 Sample Key Performance Indicators KPI Name KPI Type KPI Description Level of DG program influence DG interactions Issue resolution External validation Program effectiveness Program effectiveness Program effectiveness Program effectiveness # of lines of business, functional areas, system areas, project teams and other parts of org that have committed stewardship resources or sponsorship Capture all types of value-added internal interactions such as training, consulting and project implementation support Categorize and track status of all issues that come in to the data governance function Industry awards, benchmarking against peers, thought leadership via speaking tours Data quality metrics Operational Monitoring of data accuracy, completeness, integrity, uniqueness, consistency, standardization, and other baseline DQ metrics Policy compliance Operational Audits ensuring compliance with privacy, security, retention and other regulatory policies. Recovery time SLA A contracted agreement with the business on how long before a data exception will be mitigated Data latency SLA A contracted agreement with the business on how quickly a data update or insight will be delivered to a dependent process or decision-maker Compliance Biz value Reducing penalties by ensuring regulatory compliance; reducing enterprise risk (e.g., contractual, legal, financial, brand) Cost savings Biz value Lowering costs (e.g., business, labor, software, hardware) Spend optimization Biz value Optimizing spending (e.g., procurement, supply chain, services, labor) Efficiency improvements Biz value Improving operational efficiencies (e.g., employee, partner, contractor);. Revenue growth Biz value Increasing top-line revenue growth; Customer satisfaction Biz value Optimizing customer experience and satisfaction

23 Lines of Accountability Example The RASIC Drives Clarity Area Discover Define Apply Measure and Monitor Data Governance Program Business Data Owner Source System Owner Data IT Task Stewards Custodian Profiling Source and Target Data I I R I I I Manage Data Models I I S S S AR Manage Application Inventory I I S S S AR Defining and Maintaining Business Definitions A A R C C C Define Business Rules A A R C C S Define Key Performance Indicators A A R C C S Apply Business Rules to Source Systems I I S R S C Apply Business Rules to Target Systems I I S S R C Remediating Issues - in Data/Process I A R S S C Data Quality Scorecard Creation and Maintain A A R I I I Monitoring Scorecards A A R I I I Data Lineage Technical Analysis I I S S R C Program Performance R S S S S S Data Architect R = Responsible - Performs the task A = Accountable - Ensures task is completed S = Support - Assist in completing the task I = Informed - Notified about a task after it has been performed C = Consulted - Assists with advice/consult on as needed basis 2015 Informatica. Proprietary and Confidential

24 Informatica Platform Built to Support Holistic Data Governance Discover Define Measure and Monitor Apply IT Collaborate Business

25 Best in Class for all aspects of Data Governance Data Masking Data Governance Tools Multi-Domain MDM Data Archiving Data Quality Enterprise Data Integration 2

26 Questions? Contact Info: Linda Kramer Business Transformation Architect