Data Governance for the Executive
 

Data Governance for the Executive

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Data Governance for the Executive Data Governance for the Executive Presentation Transcript

  • Data Governance for the Executive “Raising the Bar” Based on the recently released book “Data Governance for the Executive” By Jim OrrWelcome! Director, Information Builders, Inc. December 8, 2011
  • Data GovernanceBroad interpretation and scope…  Data quality  Business rules  Data integration  Data standards  Data modeling  Data analytics  Data security & privacy  Work flow management  Data lineage  Measure, monitor, trend & report  Metadata management  Data entry  Stewardship  Data storage Yes, data governance involves each of these activities, domains and more. However, today’s webinar will not cover any of this in detail. Instead, we will focus on what executives and business leaders need to know. Copyright 2007, Information Builders. Slide 2 Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive AgendaChanging perceptions and influencing business leadership1. Alter age-old opinions and introduce new concepts2. Demonstrate value (holistic & nonconventional)3. Implementing structure that supports fundamental requirements for success Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive Changing PerceptionsWhat influences data and information outcomes? Data management practices/policies Technology Business process Organization strategy and policy Culture All are interconnected, have upstream and downstream dependencies, and need to be governed Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive Changing PerceptionsSimilar assets but managed very differently Financial Assets Data Assets  Centralized ownership,  Fragmented ownership, little authority, accountability authority or accountability  Standard policies and  Minimum standards/inefficient or procedures non-existent policies/procedures  Common chart of accounts  Few/no common data models or  Formal audits methods  Regulated  Limited/no audits  Well documented  Unregulated/loosely regulated  Part of planning process  Poorly documented  Seldom part of planning process Need to treat data like a financial asset.
  • Data Governance for the Executive Changing PerceptionsIt is not just about the data and technology… The term “data governance” can imply tactical, IT centric data management activities with a flair for bureaucracy. To the contrary it is about Information Asset Management that drives business performance. What you call it and how you view it as an organization can be the difference between success and failure Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive Changing PerceptionsNew horizonsA data governance discipline represents a collection of individuals thatserve as custodians over the data and information assets of a companyor agency from both a business and technical perspective.As the discipline matures, it cultivates intellectual property and gainsunprecedented visibility into the organization’s business processes, dataand information assets. This insight exposes hidden opportunities,challenges, and risk that impact the company business. It also providesthe mechanism to accentuate the opportunity and mitigate the risk.Because of this, data governance serves as a solid framework foradministering the data and information assets of an entire organizationor at minimum, the data life cycle. Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive Demonstrating Value Economic Justification #1 Reason for Success Identifying and Where and how to find the demonstrating economic value. value. Copyright 2007, Information Builders. Slide 8 Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive Demonstration ValueWhy all the buzz? Data Governance may be the last frontier for materially • Reducing costs • Improving revenues • Mitigating risk • Driving compliance in mid-market, enterprise, and global organizations and across all industries. Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive Demonstrating ValueWhat the industry is telling us… On average, companies estimate they are losing $8.2 million dollars annually because of data quality issues with 22% of businesses estimating losses over $20 million per year. - Gartner Group (8/4/2009) On average, companies estimate they lose over $5 million dollars annually due to data related problems with 20% of businesses estimating losses over $20 million per year. - Forbes Insights (April 2010) Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive Demonstrating ValueWhat the industry has taught us… The economic impact of ineffective data management, data quality, and governance is predicted to be much higher than analyst report because You Simply Don’t Know What You Don’t Know!! For every known data governance benefit and opportunity there are many more just like it buried beneath a complex maze of corporate practices, disparate systems, culture, and bureaucracy. Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive 5 Ways to Demonstrate Value (1) Program (2) Data Management (4) Business (5) Organization Strategy & (3) Projects Operations Operations Strategy & Policy Direction Data Quality MDM Sales & Customer Structure Marketing Definition Scope Data Modeling BI Customer Merger & Prioritization Metadata CRM Service Acquisition Management CDI Risk & Planning & Policy Data Integration Compliance Budget Roles & DW Data Lineage Order to Cash Business PartnerResponsibilities EDW Integration Authority & Security & Supply Chain Privacy DM Data Enrichment Accountability Taxes & Fees Data Standards ERP Security &Issue Resolution Social and PrivacyBusiness Align. Business Rules 360° View Human Services Power to Business Data Migration Mail & Transport Question Process Data Integration Asset Mgmt. Transparency Stewardship Business Weights & Monitoring & Analytics & Balances Metrics Research CoE Reporting Agility to Workflow 5 primary areas to find value for Respond Management data governance Copyright 2007, Information Builders. Slide 12 Data Governance for the Executive Copyright 2011
  • Data Governance Organization Structure How do we make this operational? Copyright 2007, Information Builders. Slide 13 Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive 3 Operational Components 1 Administrative 1 (Formal Oversight) 1 Direction Issue resolution Scope Roles and responsibilities Prioritization Authority and accountability Structure Funding Organizational alignment Education Policy definition Communication Technical Business (Policy, Process, Standards, (Tools & Data Management) Opportunities, Risk) Data integration Overlapping Scope Data standards Data quality & Business rules Data modeling Interdependencies Business process Metadata management Reporting & metrics Data lineage Stewardship Work flow management Customer definition Security Acquisition & merger Each are unique and require different Data enrichment focus, solutions, skills, and approaches. Risk & compliance However, each are highly interdependent on one another. Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive PurposeThe benefit of a strong administrative arm Technical and Business Data Data Governance Layer $ Business Value $ Management(not all inclusive list) Domains Project Optimization (MDM, EIM, CRM, EPI, BI, EDW, DW, 360 degree view) Information & Data Quality Optimization Data Business Data Data Quality Integration Process Stewardship Administrative Data Governance Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive StructurePrimary structural requirements for success  Legitimacy  Corporate visibility  Span of control over data  Span of control over business process  Funding  Senior management involvement  Skill & position Each of these must be reflected directly or indirectly in the structure of a data governance organization. The more an organization can satisfy these requirements the more successful their program will be. Data Governance for the Executive Copyright 2011
  • Data Governance for the Executive StructureStructural concepts that satisfy many foundationalrequirements for success Senior Management It’s not so much about about the boxes and reporting structure as it is about their relationships, Wildcard how they actually work together, and why Formal Office of: Council Data Governance or Information Management or Information Asset Management Every organization structure is different. These concepts can be applied in a number of ways. Copyright 2007, Information Builders. Slide 17 Data Governance for the Executive Copyright 2011
  • Questions?On behalf of DATAVERSITY and Information Builders, thankyou very much for your time and interest today! To learn more about Jim Orr Information Builders, our technology and Information Builders, Inc. James_Orr @IBI.com information management (719) 534-3116 solutions visit: https://www.ibi.com To order or learn more about “Data Governance for the Executive” go to: Amazon.com: http://www.amazon.com/Data-Governance-Executive-James-Orr/dp/0615531911/ Or Senna Publishing, LLC https://sites.google.com/a/sennapublishing.com/senna-publishing/ 2007, Information Builders. Slide 18 Copyright Data Governance for the Executive Copyright 2011