Data-Ed Slides: Exorcising the Seven Deadly Data Sins
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The document discusses the importance of data management and the role of Chief Data Officers (CDOs) in organizations, emphasizing the need to address the 'seven deadly data sins' that hinder effective data strategy implementation. It highlights the shift from project-based to program-based approaches in data management to align data with organizational strategy and improve overall efficiency. Additionally, the document outlines the necessity of cultural change and robust data governance to successfully leverage data as a key organizational asset.
Data-Ed Slides: Exorcising the Seven Deadly Data Sins
- 1. Peter Aiken, PhD Exorcising the Seven Deadly Data Sins 1 • 30+ years in data management • Repeated international recognition • Founder, Data Blueprint (datablueprint.com) • Associate Professor of IS (vcu.edu) • DAMA International (dama.org) • 9 books and dozens of articles • Experienced w/ 500+ data management practices • Multi-year immersions: – US DoD (DISA/Army/Marines/DLA) – Nokia – Deutsche Bank – Wells Fargo – Walmart – … Peter Aiken, Ph.D. Copyright 2016 by Data Blueprint Slide # • DAMA International President 2009-2013 • DAMA International Achievement Award 2001 (with Dr. E. F. "Ted" Codd • DAMA International Community Award 2005 PETER AIKEN WITH JUANITA BILLINGS FOREWORD BY JOHN BOTTEGA MONETIZING DATA MANAGEMENT Unlocking the Value in Your Organization’s Most Important Asset. The Case for the Chief Data Officer Recasting the C-Suite to Leverage Your MostValuable Asset Peter Aiken and Michael Gorman 2
- 2. Copyright 2016 by Data Blueprint Slide #Copyright 2016 by Data Blueprint Slide # 3 Excerptedfrom YourDataStrategy IT Project Failure Rates (1994-2015) Source: Standish Chaos Reports as reported at: http://standishgroup.com 4Copyright 2016 by Data Blueprint Slide # 0% 15% 30% 45% 60% 1994 1996 1998 2000 2002 2004 2006 2008 2010 2011 2012 2013 2014 2015 Failed Challenged Succeeded
- 3. 5Copyright 2016 by Data Blueprint Slide # IT Business Data As Is State of Data (as Perceived) |————— Project-based —————| |——— Program-based ———| |——————————————— Program-based ——————————————| 6Copyright 2016 by Data Blueprint Slide # IT Business Data |————— Project-based —————| Desired To Be State of Data (as Understood)
- 4. 7Copyright 2016 by Data Blueprint Slide # Organizational Strategy Data Strategy IT Projects Organizational Operations Data Governance Data Strategy and Data Governance in Context Data asset support for organizational strategy What the data assets do to support strategy How well the data strategy is working Operational feedback How data is delivered by IT How IT supports strategy Other aspects of organizational strategy 8Copyright 2016 by Data Blueprint Slide # Data Strategy Data Strategy is Implemented in 2 Phases What the data assets do to support strategy Phase I-Prerequisites 1) Prepare for dramatic change and determined how to do the work 2) Recruit a qualified, knowledgeable enterprise data executive (and other qualified talent) 3) Eliminate the Seven Deadly Data Sins Phase II-Iterations (Lather, Rinse, Repeat)
- 5. 9Copyright 2016 by Data Blueprint Slide # Tweeting now: #dataed Exorcising the Seven Deadly Data Sins 9 1. Not Understanding Data-Centric Thinking 2. Lacking Qualified Data Leadership 3. Not implementing a Robust, Programmatic Means of Developing Shared Data 4. Not Aligning The Data Program with IT Projects 5. Failing to Adequately Manage Expectations 6. Not Sequencing Data Strategy Implementation 7. Failing To Address Cultural And Change Management Challenges Tweeting now: #dataed What is a system? • A set of detailed methods, procedures, and routines established or formulated to carry out a specific activity, perform a duty, or solve a problem. • An organized, purposeful structure regarded as a whole and consisting of interrelated and interdependent elements (components, entities, factors, members, parts etc.). These elements continually influence one another (directly or indirectly) to maintain their activity and the existence of the system, in order to achieve the goal of the system. http://www.businessdictionary.com/definition/system.html#ixzz23T7LyAjJ 10Copyright 2016 by Data Blueprint Slide # System DataHardwareProcessesPeople Software
- 6. There will never be less data than right now! 11Copyright 2016 by Data Blueprint Slide # 12Copyright 2016 by Data Blueprint Slide # Tweeting now: #dataed Exorcising the Seven Deadly Data Sins 12 1. Not Understanding Data-Centric Thinking 2. Lacking Qualified Data Leadership 3. Not implementing a Robust, Programmatic Means of Developing Shared Data 4. Not Aligning The Data Program with IT Projects 5. Failing to Adequately Manage Expectations 6. Not Sequencing Data Strategy Implementation 7. Failing To Address Cultural And Change Management Challenges Tweeting now: #dataed
- 7. What do we teach IT professionals about data? 13Copyright 2016 by Data Blueprint Slide # • 1 course – How to build a new database • What impressions do IT professionals get from this education? – Data is a technical skill that is needed when developing new databases • If we are migrating databases, we are not creating new databases and we don't need organizational data management knowledge, skills, and abilities (KSAs). • If we are implementing a new software package, we are not creating a new database and therefore we do not need data management KSAs. • If we are installing an enterprise resource package (ERP), we are not creating a new database and therefore we do not need data management KSAs. Top Operations Job Top Data Job 14Copyright 2016 by Data Blueprint Slide # Top Job Top Finance Job Top IT Job Top Marketing Job Data Governance Organization Top Data Job Enterprise Data Executive • Dedicated solely to data asset leveraging • Unconstrained by an IT project mindset • Reporting to the business • There is enough work to justify the function and not much talent • The CDO provides significant input to the Top Information Technology Job • 25 Percent of Large Global Organizations Will Have Appointed Chief Data Officers By 2015 Gartner press release. Gartner website (accessed May 7, 2014). January 30, 2014. http://www.gartner.com/newsroom/ id/2659215? • By 2020, 60% of CIOs in global organizations will be supplanted by the Chief Digital Officer (CDO) for the delivery of IT-enabled products and digital services (IDC) • 2015 Experian survey of 250 CIOs found 90% of feel that data is transforming the way they do business, with some 92% suggesting that the CDO is best placed to define data strategy and be the guardian of data quality within an organisation • 90 Percent of Large Global Organizations Will Have Appointed Chief Data Officers By 2019 Gartner press release. Gartner website (accessed January 26, 2016). January 26, 2016. http://www.gartner.com/newsroom/id/3190117?
- 8. Hiring Panels Are Not Qualified to Help 15Copyright 2016 by Data Blueprint Slide # Unicorn License There Are No Unicorns 16Copyright 2016 by Data Blueprint Slide #
- 9. The Enterprise Data Executive Takes One for the Team 17Copyright 2016 by Data Blueprint Slide # 18Copyright 2016 by Data Blueprint Slide # Tweeting now: #dataed Exorcising the Seven Deadly Data Sins 18 1. Not Understanding Data-Centric Thinking 2. Lacking Qualified Data Leadership 3. Not implementing a Robust, Programmatic Means of Developing Shared Data 4. Not Aligning The Data Program with IT Projects 5. Failing to Adequately Manage Expectations 6. Not Sequencing Data Strategy Implementation 7. Failing To Address Cultural And Change Management Challenges Tweeting now: #dataed
- 10. Differences between Programs and Projects • Programs are Ongoing, Projects End – Managing a program involves long term strategic planning and continuous process improvement that is not required of a project • Programs are Tied to the Financial Calendar – Program managers are often responsible for delivering results tied to the organization's financial calendar • Program Management is Governance Intensive – Programs are governed by a senior level board that provides direction, oversight, and control while projects tend to be less governance-intensive • Programs Have Greater Scope of Financial Management – Projects typically have a straight-forward budget and project financial management is focused on spending to budget while program planning, management and control is significantly more complex • Program Change Management is an Executive Leadership Capability – Projects employ a formal change management process while at the program level, change management requires executive leadership skills and program change is driven more by an organization's strategy and is subject to market conditions and changing business goals • Adapted from http://top.idownloadnew.com/program_vs_project/ and http://management.simplicable.com/management/new/program-management-vs-project-management 19Copyright 2016 by Data Blueprint Slide # Project Implementation 20Copyright 2016 by Data Blueprint Slide # Develop/Implement Software Develop/Implement Data This approach can only work when no sharing of data occurs! 20 Shared data structures require programmatic development and evaluation XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
- 11. 21Copyright 2016 by Data Blueprint Slide # Tweeting now: #dataed Exorcising the Seven Deadly Data Sins 21 1. Not Understanding Data-Centric Thinking 2. Lacking Qualified Data Leadership 3. Not implementing a Robust, Programmatic Means of Developing Shared Data 4. Not Aligning The Data Program with IT Projects 5. Failing to Adequately Manage Expectations 6. Not Sequencing Data Strategy Implementation 7. Failing To Address Cultural And Change Management Challenges Tweeting now: #dataed IT Project or Application-Centric Development Original articulation from Doug Bagley @ Walmart 22Copyright 2016 by Data Blueprint Slide # Data/ Information IT Projects Strategy • In support of strategy, organizations implement IT projects • Data/information are typically considered within the scope of IT projects • Problems with this approach: – Ensures data is formed to the applications and not around the organizational-wide information requirements – Process are narrowly formed around applications – Very little data reuse is possible
- 12. Data-Centric Development Original articulation from Doug Bagley @ Walmart 23Copyright 2016 by Data Blueprint Slide # IT Projects Data/ Information Strategy • In support of strategy, the organization develops specific, shared data-based goals/objectives • These organizational data goals/ objectives drive the development of specific IT projects with an eye to organization-wide usage • Advantages of this approach: – Data/information assets are developed from an organization-wide perspective – Systems support organizational data needs and compliment organizational process flows – Maximum data/information reuse 24Copyright 2016 by Data Blueprint Slide # Tweeting now: #dataed Exorcising the Seven Deadly Data Sins 24 1. Not Understanding Data-Centric Thinking 2. Lacking Qualified Data Leadership 3. Not implementing a Robust, Programmatic Means of Developing Shared Data 4. Not Aligning The Data Program with IT Projects 5. Failing to Adequately Manage Expectations 6. Not Sequencing Data Strategy Implementation 7. Failing To Address Cultural And Change Management Challenges Tweeting now: #dataed
- 13. Data Management Program Expenses • 5 Data Managers • $100,000 Annually • When will you be done? • "It's okay my CIO gave me 5 years!" Copyright 2016 by Data Blueprint Slide # 25 Data Implementation Framework 26Copyright 2016 by Data Blueprint Slide # • Benefits & Success Criteria • Capability Targets • Solution Architecture • Organizational Development Solution • Leadership & Planning • Project Dev. & Execution • Cultural Readiness Road Map • Organization Mission • Strategy & Objectives • Organizational Structures • Performance Measures Business Needs • Organizational / Readiness • Business Processes • Data Management Practices • Data Assets • Technology Assets Current State • Business Value Targets • Capability Targets • Tactics • Data Strategy Vision Strategic Data Imperatives Business Needs Existing Capabilities ExecutionBusiness Value New Capabilities
- 14. 27Copyright 2016 by Data Blueprint Slide # Tweeting now: #dataed Exorcising the Seven Deadly Data Sins 27 1. Not Understanding Data-Centric Thinking 2. Lacking Qualified Data Leadership 3. Not implementing a Robust, Programmatic Means of Developing Shared Data 4. Not Aligning The Data Program with IT Projects 5. Failing to Adequately Manage Expectations 6. Not Sequencing Data Strategy Implementation 7. Failing To Address Cultural And Change Management Challenges Tweeting now: #dataed V1 Organizations without a formalized data strategy V3 Data Strategy: Use data to create strategic opportunities V4 Data Strategy: Get good at both V2 and V3 Improve Operations Innovation The focus of data strategy should be sequenced 28Copyright 2016 by Data Blueprint Slide # Only 1 is 10 organizations has a board approved data strategy! V2 Data Strategy: Increase organizational efficiencies/ effectiveness
- 15. 29Copyright 2016 by Data Blueprint Slide # Tweeting now: #dataed Exorcising the Seven Deadly Data Sins 29 1. Not Understanding Data-Centric Thinking 2. Lacking Qualified Data Leadership 3. Not implementing a Robust, Programmatic Means of Developing Shared Data 4. Not Aligning The Data Program with IT Projects 5. Failing to Adequately Manage Expectations 6. Not Sequencing Data Strategy Implementation 7. Failing To Address Cultural And Change Management Challenges Tweeting now: #dataed Changing is Hard Culture is the biggest impediment to a shift in organizational thinking about data 30Copyright 2016 by Data Blueprint Slide # adapted from the Managing Complex Change model by Dr. Mary Lippitt, 1987
- 16. the Data Doctrine We are uncovering better ways of developing IT systems by doing it and helping others do it. Through this work we have come to value: Data programmes preceding software development Stable data structures preceding stable code Shared data preceding completed software Data reuse preceding reusable code 31Copyright 2016 by Data Blueprint Slide # the Data Doctrine We are uncovering better ways of developing IT systems by doing it and helping others do it. Through this work we have come to value: Data programmes preceding software development Stable data structures preceding stable code Shared data preceding completed software Data reuse preceding reusable code 32Copyright 2016 by Data Blueprint Slide # That is, while there is value in the items on the right, we value the items on the left more.
- 17. Mismatched railroad tracks non aligned Copyright 2016 by Data Blueprint Slide # 33 Data programmes preceding software development Data programmes preceding software projects 34Copyright 2016 by Data Blueprint Slide # Common Organizational Data (and corresponding data needs requirements) New Organizational Capabilities Systems Development Activities Create Evolve Future State (Version +1) Data evolution is separate from, external to, and precedes system development life cycle activities! Data management and software development must be separated and sequenced
- 18. Stable data structures preceding stable code 35Copyright 2016 by Data Blueprint Slide # Person Job Class Employee Position BR1) Zero, one, or more EMPLOYEES can be associated with one PERSON BR2) Zero, one, or more EMPLOYEES can be associated with one POSITION Job Sharing Moon Lighting Person Job Class Employee Position BR1) One EMPLOYEE can be associated with one PERSON BR2) One EMPLOYEE can be associated with one POSITION Copyright 2016 by Data Blueprint Slide # Manual Job Sharing Manual Moon Lighting Stable data structures preceding stable code
- 19. Copyright 2016 by Data Blueprint Slide # Stable data structures preceding stable code Data structures must be specified prior software development Results Increasing utility of organizational data Individual IT Project Requirements Design Implement Requests Results Individual IT Project Requirements Design Implement Requests Results Individual IT Project Requirements Design Implement Requests Organized, shared data Organized, shared data Organized, shared data Shared Data preceding Completed Software 38Copyright 2016 by Data Blueprint Slide # • Over time the: – Number of requests increase – Utility of the results increase – Data's contribution increases – and is recognized!
- 20. Program F Program E Program H Program I domain 2Application domain 3 Data reuse preceding reusable code • Reusable data should leverage shared software routines • Who makes decisions about the range and scope of common data usage? 39Copyright 2016 by Data Blueprint Slide # Program D Program G Application International Chemical Company Engine Testing • $1billion (+) chemical company • Develops/manufactures additives enhancing the performance of oils and fuels ... • ... to enhance engine/ machine performance – Helps fuels burn cleaner – Engines run smoother – Machines last longer • Tens of thousands of tests annually – Test costs range up to $250,000! 40Copyright 2016 by Data Blueprint Slide #
- 21. Overview of Existing Data Management Process 1.Manual transfer of digital data 2.Manual file movement/duplication 3.Manual data manipulation 4.Disparate synonym reconciliation 5.Tribal knowledge requirements 6.Non-sustainable technology 41Copyright 2016 by Data Blueprint Slide # 1.Manual transfer of digital data 2.Manual file movement/duplication 3.Manual data manipulation 4.Disparate synonym reconciliation 5.Tribal knowledge requirements 6.Non-sustainable technology Data Integration Solution • Integrated the existing systems to easily search on and find similar or identical tests • Results: – Reduced expenses – Improved competitive edge and customer service – Time savings and improve operational capabilities • According to our client’s internal business case development, they expect to realize a $25 million gain each year thanks to this data integration 42Copyright 2016 by Data Blueprint Slide #
- 22. Introducing The Data Doctrine Copyright 2016 by Data Blueprint Slide # 43 http://www.thedatadoctrine.com Questions? It’s your turn! Use the chat feature or Twitter (#dataed) to submit your questions to Peter now! + = 44Copyright 2016 by Data Blueprint Slide #
- 23. Upcoming Events Data-Centric Strategy & Roadmap Supercharging Your Business January 10, 2017 @ 2:00 PM ET/11:00 AM PT Sign up here: www.datablueprint.com/webinar-schedule or www.dataversity.net 45Copyright 2016 by Data Blueprint Slide # 10124 W. Broad Street, Suite C Glen Allen, Virginia 23060 804.521.4056 Copyright 2016 by Data Blueprint Slide # 46