Uploaded byMary Levins, PMP
Tag dg 101 march 2017
Data governance is a data strategy that incorporates disciplines like data quality, data management, data standards, policies, and business process management to support the business strategy. It applies these disciplines enterprise-wide with everyone involved to proactively govern data and maximize its value in supporting business goals.
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Similar to Tag dg 101 march 2017
Tag dg 101 march 2017
- 1. Data Governance 101 MaryLevins, Sierra Creek Consulting Cassie Elder, Data Craft Partners February 8, 2016
- 2. SIERRA CREEK CONSULTING Valuethrough Governed Datatm Sierra Creek Consulting specializes in helping companies maximize value through governed data. We use successful methodologies across People, Process, Technology, and Data while customizing the approach to the client’s culture to allow for sustainable results. Our thought leadership and execution capabilities to provide transformational changes span across several areas, including Data Knowledge Management Data Governance Master Data Management Data Quality Business and data process re-engineering Voice of the Customer Mary Levins Founder and Data Governance Leader 20 + years of Enterprise Information Management Experience BS and MS in Industrial & Management Engineering, Project Management & 6 Sigma Certified
- 3. We aid businessto mature, evolve and innovate using carefully crafted and intentionally executed business and data strategies. DATA MANAGEMENT gather. classify. protect BUSINESS INTELLIGENCE architect. illustrate. operationalize ADVANCED ANALYTICS discover. access. distill Founder and lead data analytics strategist Turn seemingly disparate and jumbled data sources into valuable inputs to strategic business plans. Turn seemingly disparate and jumbled business groups into strategic organizations who are able to unlock the business value of their data cassie elder *DataCraft Partners is a woman-owned data strategy firm based in Atlanta, GA, with experienced teams focused on Data Management, Data Security and Data Science. DATA CRAFTSMANSHIP
- 4. Data Governance 101 LearningObjectives Why? What? When? Where? Who? THE FIVE “W”s of Data Governance
- 5. What is DataGovernance? Data Governance accountability standards strategy knowledge consistency metadata development INTENT learning Business glossary Policy rules Data quality transparency authority change management issue management definitions decision rightsdependencies Technical information enterprise Process Controls Business formal stewardship stakeholder trust Permissible use workflow
- 6. What is DataGovernance? Data Governance accountability standards strategy knowledge consistency metadata development INTENT learning Business glossary Policy rules Data quality transparency authority change management issue management definitions decision rightsdependencies Technical information enterprise Process Controls Business formal stewardship stakeholder is to Bring Value to the Business trust Permissible use workflow
- 7. Business Drivers forData Governance Are Company Specific Increase Market Share Controlling Risk Reducing Cost Common Drivers Include
- 8. Intention Idea • Areally good one Purpose Personal Character Boundaries Obsession Goal! Usually Missing… Leads to Frustration • Writing it down changes it from an idea to a purpose • Do you have your core values defined? What type of person do I want to be? • Your personal character defines your personal boundaries – what you’re willing to do or not do • All of your actions are focused on your purpose and goal A little bit about behavior and success
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- 10. Vision • Where YouWant to Be – You’ve paid consultants a lot for a fancy “Vision Statement” Mission • You’ve defined “How You’re Going To Get There” Guiding Principles • Guides Decisions and Actions Controls (Boundaries) • Fail-safe • Measurements • Standards Execution • All of your actions are intentionally focused on your purpose and goal Business Goals! If Missing… Leads to Confusion, Frustration & Lack of Action Intention & Strategy Business Alignment: Strategies. Principles. Action
- 11. Data Governance is aData Strategy that incorporates disciplines (such as data quality, data management, data standards, policies, business process management, and risk management surrounding the data) to support the Business Strategy. Data Governance Definition Business Strategy Data Strategy DG Disciplines
- 12. Governing the Commons:The Evolution of Institutions for Collective Action “Organizing is a process; an organization is the result of that process” “Confusing a model – such as that of a perfectly competitive market – with the theory of which it is one representation can limit applicability still further.” “A resource arrangement that works in practice can work in theory.” Data Governance Isn’t One-Size-Fits-All
- 13. Data Governance appliesto all Industries The Drivers and the Implementation approach may be different
- 14. 2015 Known as“The Year of Data Governance” Driven by The Year of the Data Breach in 2014 9 48.8 67.1 153.1 2012 2013 2014 2015 NUMBER OF RECORDS HACKED (M) Increased awareness in the need for Data Governance (Source: Privacy Rights Clearinghouse) What data is at risk? How do we protect our key data assets?
- 15. Global Master DataManagement Market Revenue Growth Prediction 4.35 37.97 2010 2015 2024 Revenue (Billion$) Successful MDM implementations embrace Data Governance (Source: transparencymarketresearch.com) 2010: MDM Goes Mainstream
- 16. 20311960 1966 19721978 1984 1990 1996 2002 2008 2014 2020 2026 Very Manual Independent and Silod ... ... ... ... Reactive Very Manual Cross-functional Standardization ... ... ... ... ... ... ... Access Controls (role based); Segregation of Duties ... ... ... ... ... ... ... ... Optimized and Culture-based approach Data Governance Enterprise Tools Formal Data Governance - Sponsored, Definition, and Oversight Strategic & Policy Era 2010 - 2030 EDW Era 1990 - 2010 ERP Era 1970 - 1990 Application Era 1960 - 1970 9 49 67 153 NUMBER OF RECORDS HACKED (M) DataGovernanceMaturity Evolution of Data Governance Related to the rapid growth of Global Data ??? 1970: Early Standardization Efforts Late 80’s – 90’s: Common Processes & Master Solution Designs Key Business Decentralized Processes (Accounting, Marketing, Mfg, Personnel) 1990’s: Expansion and availability of Information 2002: SOX 2010: Year of MDM RACI 2014: Year of the Data Breach Individual Efficiency Enterprise Value
- 17. Data Governance 101 Summary– The Five W’s Why What When Where Who Data Strategy to support the Business Strategy Proactive Enterprise Wide Intent Everyone