Data-Ed Slides: Data-Centric Strategy & Roadmap - Supercharging Your Business
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The document outlines a data-centric strategy and roadmap aimed at enhancing organizational data management and governance. It emphasizes the necessity of a robust data strategy to support organizational goals, improve data usage, and mitigate common data-related challenges. The author, Peter Aiken, shares insights and prerequisites for developing an effective data strategy while highlighting the value of data as a strategic organizational asset.
![What is a Strategy?
7Copyright 2017 by Data Blueprint Slide #
• Current use derived from military
• “a pattern in a stream of decisions” [Henry Mintzberg]
Strategy in Action: Napoleon defeats a larger enemy
• Question?
– How do I defeat the competition when their forces
are bigger than mine?
• Answer:
– Divide
and
conquer!
– “a pattern
in a stream
of decisions”
8Copyright 2017 by Data Blueprint Slide #
– “a pattern
in a stream
of decisions”](https://image.slidesharecdn.com/2017data-centricstrategyroadmapsuperchargingyourbusiness-170111235727/85/Data-Ed-Slides-Data-Centric-Strategy-Roadmap-Supercharging-Your-Business-4-320.jpg?cb=1693346470)
![Wayne Gretzky’s
Definition of Strategy
9Copyright 2017 by Data Blueprint Slide #
He skates to where he
thinks the puck will be ...
Data
Assets
Financial
Assets
Real
Estate Assets
Inventory
Assets
Non-
depletable
Available for
subsequent
use
Can be
used up
Can be
used up
Non-
degrading √ √ Can degrade
over time
Can degrade
over time
Durable Non-taxed √ √
Strategic
Asset √ √ √ √
We believe ...
• Today, data is the most powerful, yet underutilized and poorly
managed organizational asset
• Data is your
– Sole
– Non-depletable
– Non-degrading
– Durable
– Strategic
• Asset
– Data is the new oil!
– Data is the new (s)oil!
– Data is the new bacon!
• Our mission is to unlock business value by
– Strengthening your data management capabilities
– Providing tailored solutions, and
– Building lasting partnerships
10Copyright 2017 by Data Blueprint Slide #
Asset: A resource controlled by the organization as a result of past events or
transactions and from which future economic benefits are expected to flow [Wikipedia]
Data Assets Win!](https://image.slidesharecdn.com/2017data-centricstrategyroadmapsuperchargingyourbusiness-170111235727/85/Data-Ed-Slides-Data-Centric-Strategy-Roadmap-Supercharging-Your-Business-5-320.jpg?cb=1693346470)
![[ Techniques /
Technologies ]
31Copyright 2017 by Data Blueprint Slide #
Big Data
32Copyright 2017 by Data Blueprint Slide #
Data Strategy
Data
Governance
Data Strategy & Data Governance
What the data
assets do to support
strategy
How well the data
strategy is working
(Business Goals)
(Metadata)](https://image.slidesharecdn.com/2017data-centricstrategyroadmapsuperchargingyourbusiness-170111235727/85/Data-Ed-Slides-Data-Centric-Strategy-Roadmap-Supercharging-Your-Business-16-320.jpg?cb=1693346470)
Data-Ed Slides: Data-Centric Strategy & Roadmap - Supercharging Your Business
- 1. Data-Centric Strategy & Roadmap Supercharging Your Organization Copyright 2017 by Data Blueprint Slide # 1 Peter Aiken, Ph.D. Peter Aiken, Ph.D. • 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 – … • 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 2Copyright 2017 by Data Blueprint Slide #
- 2. Copyright 2017 by Data Blueprint Slide #Copyright 2017 by Data Blueprint Slide # 3 Excerptedfrom YourDataStrategy Empire State Plaza 4Copyright 2017 by Data Blueprint Slide #
- 3. • A data strategy specifies how data assets are to be used to support the organizational strategy – What is strategy? – What is a data strategy? – How do they work together? • A data strategy is necessary for effective data governance – Improve your organization’s data – Improve the way people use their data – Improving how people use data to support their organizational strategy • Effective Data Strategy Prerequisites – Lack of organizational readiness – Failure to compensate for the lack of data competencies – Eliminating the barriers to leveraging data, the seven deadly data sins • Data Strategy Development Phase II–Iterations – Lather, rinse, repeat – A balanced approach is required • Q&A Data-Centric Strategy & Roadmap 5Copyright 2017 by Data Blueprint Slide # Tweeting now: #dataed Simon Sinek: How great leaders inspire action 6Copyright 2017 by Data Blueprint Slide # • “It’s not what you do, it’s why you do it” • “People don't buy what you do - they buy why you do it” http://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action.html What How Why
- 4. What is a Strategy? 7Copyright 2017 by Data Blueprint Slide # • Current use derived from military • “a pattern in a stream of decisions” [Henry Mintzberg] Strategy in Action: Napoleon defeats a larger enemy • Question? – How do I defeat the competition when their forces are bigger than mine? • Answer: – Divide and conquer! – “a pattern in a stream of decisions” 8Copyright 2017 by Data Blueprint Slide # – “a pattern in a stream of decisions”
- 5. Wayne Gretzky’s Definition of Strategy 9Copyright 2017 by Data Blueprint Slide # He skates to where he thinks the puck will be ... Data Assets Financial Assets Real Estate Assets Inventory Assets Non- depletable Available for subsequent use Can be used up Can be used up Non- degrading √ √ Can degrade over time Can degrade over time Durable Non-taxed √ √ Strategic Asset √ √ √ √ We believe ... • Today, data is the most powerful, yet underutilized and poorly managed organizational asset • Data is your – Sole – Non-depletable – Non-degrading – Durable – Strategic • Asset – Data is the new oil! – Data is the new (s)oil! – Data is the new bacon! • Our mission is to unlock business value by – Strengthening your data management capabilities – Providing tailored solutions, and – Building lasting partnerships 10Copyright 2017 by Data Blueprint Slide # Asset: A resource controlled by the organization as a result of past events or transactions and from which future economic benefits are expected to flow [Wikipedia] Data Assets Win!
- 6. Organizational Assets • Cash & other financial instruments • Real property • Inventory • Intellectual Property • Human – Knowledge – Skills – Abilities • Financial • Organizational reputation • Good will • Brand name • Data!!! 11Copyright 2017 by Data Blueprint Slide # CEOs are Recognizing Data as an Asset PETER AIKEN WITH JUANITA BILLINGS FOREWORD BY JOHN BOTTEGA MONETIZING DATA MANAGEMENT Unlocking the Value in Your Organization’s Most Important Asset. Copyright 2017 by Data Blueprint Slide # 12
- 7. 13Copyright 2017 by Data Blueprint Slide # IT Business Data As Is State of Data (as Perceived) |————— Project-based —————| |——— Program-based ———| |——————————————— Program-based ——————————————| 14Copyright 2017 by Data Blueprint Slide # IT Business Data |————— Project-based —————| Desired To Be State of Data (as Understood)
- 8. There will never be less data than right now! 15Copyright 2017 by Data Blueprint Slide # Your Data Strategy Should ... • Improve your organization’s data • Improve the way your people use data • Improve the way your people use data to achieve your organizational strategy • A data strategy is the highest level data guidance available to an organization, ... • ... focusing data-related activities on articulated data goal achievements and ... • ... providing directional but specific guidance when faced with a stream of decisions or uncertainties about organizational data assets and their application toward business objectives. 16Copyright 2017 by Data Blueprint Slide # Improve your organization’s data Improve the way your people use its data Improve the way your data and your people support your organizational strategy
- 9. 17Copyright 2017 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 Data supply Standard data Data literacy Making a Better Data Sandwich 18Copyright 2017 by Data Blueprint Slide # Data literacy Standard data Data supply
- 10. Making a Better Data Sandwich 19Copyright 2017 by Data Blueprint Slide # Standard data Data supply Data literacy Making a Better Data Sandwich 20Copyright 2017 by Data Blueprint Slide # Standard data Data supply Data literacy
- 11. 21Copyright 2017 by Data Blueprint Slide # • A data strategy specifies how data assets are to be used to support the organizational strategy – What is strategy? – What is a data strategy? – How do they work together? • A data strategy is necessary for effective data governance – Improve your organization’s data – Improve the way people use their data – Improving how people use data to support their organizational strategy • Effective Data Strategy Prerequisites – Lack of organizational readiness – Failure to compensate for the lack of data competencies – Eliminating the barriers to leveraging data, the seven deadly data sins • Data Strategy Development Phase II–Iterations – Lather, rinse, repeat – A balanced approach is required • Q&A Data-Centric Strategy & Roadmap Tweeting now: #dataed 22Copyright 2017 by Data Blueprint Slide # Data Science The Sexiest Job of the 21st Century
- 12. Data Scientist? 23Copyright 2017 by Data Blueprint Slide # Data science is a redundant term, since all science involves data; it's like saying, "book librarian." Eric Siegel, Ph.D., author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die 0 25 50 75 100 Current Improved Manipulation Analysis Data Scientist Productivity 24Copyright 2017 by Data Blueprint Slide # A 20% improvement results in a doubling of productivity! • Currently: – 80% of their time manipulating data and 20% of their time analyzing data – Hidden productivity bottlenecks • After rearchitecting: – Less time manipulating data and more of their time analyzing data – Significant improvements in all knowledge worker productivity
- 13. Welcome to the Post-Big Data Era! 25Copyright 2017 by Data Blueprint Slide # Data Velocity Data Volume Data Variety Big Data: Expanding on 3 Fronts at an Increasing Rate Big Data(has something to do with Vs - doesn't it?) • Volume – Amount of data • Velocity – Speed of data in and out • Variety – Range of data types and sources • 2001 Doug Laney • Variability – Many options or variable interpretations confound analysis • 2011 ISRC • Vitality –A dynamically changing Big Data environment in which analysis and predictive models must continually be updated as changes occur to seize opportunities as they arrive • 2011 CIA • Virtual – Scoping the discussion to only include online assets • 2012 Courtney Lambert • Value/Veracity • Stuart Madnick (John Norris Maguire Professor of Information Technology, MIT Sloan School of Management & Professor of Engineering Systems, MIT School of Engineering) 26Copyright 2017 by Data Blueprint Slide #
- 14. The 13 V’s of Big Data • Vast Volume of Vigorously, Verified, Vexingly, Variable, Verbose yet Valuable, Vital, Visualized, high Velocity and Veracity data that encourages the Vanity of the big data experts – Original from John Marshey – Sillicon Graphics 1998 (with contributed extensions) 27Copyright 2017 by Data Blueprint Slide # • We have no objective definition of big data! – Any measurements, claims of success, quantifications, etc. must be viewed skeptically and with suspicion! I shall not today attempt further to define the kinds of material but I know it when I see it ... (Justice Potter Stewart) 28Copyright 2017 by Data Blueprint Slide #
- 15. Big Data 29Copyright 2017 by Data Blueprint Slide # Big Data 30Copyright 2017 by Data Blueprint Slide #
- 16. [ Techniques / Technologies ] 31Copyright 2017 by Data Blueprint Slide # Big Data 32Copyright 2017 by Data Blueprint Slide # Data Strategy Data Governance Data Strategy & Data Governance What the data assets do to support strategy How well the data strategy is working (Business Goals) (Metadata)
- 17. Reasons for a Data Strategy 33Copyright 2017 by Data Blueprint Slide # Improve your organization’s data Improve the way your people use its data Improve the way your data and your people support your organizational strategy • Because data points to where valuable things are located • Because data has intrinsic value by itself • Because data has inherent combinatorial value • Valuing Data – Use data to measure change – Use data to manage change – Use data to motivate change • Creating a competitive advantage with data • Old model – Sell jet engines • New model – Sell hours of thrust power – No payment for down time – Wing to wing What can Rolls Royce Learn 34Copyright 2017 by Data Blueprint Slide # From Nascar?
- 18. 35Copyright 2017 by Data Blueprint Slide # • A data strategy specifies how data assets are to be used to support the organizational strategy – What is strategy? – What is a data strategy? – How do they work together? • A data strategy is necessary for effective data governance – Improve your organization’s data – Improve the way people use their data – Improving how people use data to support their organizational strategy • Effective Data Strategy Prerequisites – Lack of organizational readiness – Failure to compensate for the lack of data competencies – Eliminating the barriers to leveraging data, the seven deadly data sins • Data Strategy Development Phase II–Iterations – Lather, rinse, repeat – A balanced approach is required • Q&A Data-Centric Strategy & Roadmap Tweeting now: #dataed 36Copyright 2017 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)
- 19. What do we teach IT professionals about data? 37Copyright 2017 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. Hiring Panels Are Often Not Qualified to Help 38Copyright 2017 by Data Blueprint Slide #
- 20. 39Copyright 2017 by Data Blueprint Slide # Without foundational practices everything: • Takes longer • Costs more • Delivers less • Presents greater risk (with thanks to Tom DeMarco) Data Management Practices Hierarchy Advanced Data Practices • MDM • Mining • Big Data • Analytics • Warehousing • SOA Foundational Data Management Practices Data Platform/Architecture Data Governance Data Quality Data Operations Data Management Strategy Technologies Capabilities 40Copyright 2017 by Data Blueprint Slide #
- 21. 41Copyright 2017 by Data Blueprint Slide # Not Understanding Data-Centric Thinking Lacking Qualified Data Leadership Not implementing a Robust, Programmatic Means of Developing Shared Data Not Aligning The Data Program with IT Projects Failing to Adequately Manage Expectations Not Sequencing Data Strategy Implementation Failing To Address Cultural And Change Management Challenges Exorcising the Seven Deadly Data Sins 42Copyright 2017 by Data Blueprint Slide # g Data- ng Lacking Qualified Data Leadership Failing to Implement a Programmatic Way to Share Data Not Aligning the Data Program with IT Projects ailing to Adequately Manage Expectations Not Sequencing Data Strategy Implementation Not Addressing Cultural and Change Management Challenges 2 3 4 5 6 7 Not Understanding Data- Centric Thinking Lacking Qualified Data Leadership Failing to Implement a Programmatic Way to Share Data Not Aligning the Data Program with IT Projects Failing to Adequately Manage Expectations Not Sequencing Data Strategy Implementation Not Addressing Cultural and Change Management Challenges 1 2 3 4 5 6 7 Not Understanding Data- Centric Thinking Lacking Qualified Data Leadership Failing to Implement a Programmatic Way to Share Data Not Aligning the Data Program with IT Projects Failing to Adequately Manage Expectations Not Sequencing Data Strategy Implementation Not Addressing Cultural and Change Management Challenges 1 2 3 4 5 6 7t Understanding Data- Centric Thinking Lacking Qualified Data Leadership Failing to Implement a Programmatic Way to Share Data Not Aligning the Data Program with IT Projects Failing to Adequately Manage Expectations Not Sequencing Data Strategy Implementation Not Addressing Cultural and Change Management Challenges 1 2 3 4 5 6 7 acking Qualified Data Leadership Failing to Implement a Programmatic Way to Share Data Not Aligning the Data Program with IT Projects ately tions Not Sequencing Data Strategy Implementation Not Addressing Cultural and Change Management Challenges 2 3 4 6 7 Not Understanding Data- Centric Thinking Lacking Qualified Data Leadership Failing to Implement a Programmatic Way to Share Data Not Aligning the Data Program with IT Projects Failing to Adequately Manage Expectations Not Sequencing Data Strategy Implementation Not Addressing Cultural and Change Management Challenges 1 2 3 4 5 6 7 Not Understanding Data- Centric Thinking Lacking Qualified Data Leadership Failing to Implement a Programmatic Way to Share Data Not Aligning the Data Program with IT Projects Failing to Adequately Manage Expectations Not Sequencing Data Strategy Implementation Not Addressing Cultural and Change Management Challenges 1 2 3 4 5 6 7
- 22. The Enterprise Data Executive Takes One for the Team 43Copyright 2017 by Data Blueprint Slide # Unicorn License There Are No Unicorns 44Copyright 2017 by Data Blueprint Slide #
- 23. There will never be less data than right now! 45Copyright 2017 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 That is, while there is value in the items on the right, we value the items on the left more. 46Copyright 2017 by Data Blueprint Slide #
- 24. Introducing The Data Doctrine Copyright 2017 by Data Blueprint Slide # 47 http://www.thedatadoctrine.com 48Copyright 2017 by Data Blueprint Slide # • A data strategy specifies how data assets are to be used to support the organizational strategy – What is strategy? – What is a data strategy? – How do they work together? • A data strategy is necessary for effective data governance – Improve your organization’s data – Improve the way people use their data – Improving how people use data to support their organizational strategy • Effective Data Strategy Prerequisites – Lack of organizational readiness – Failure to compensate for the lack of data competencies – Eliminating the barriers to leveraging data, the seven deadly data sins • Data Strategy Development Phase II–Iterations – Lather, rinse, repeat – A balanced approach is required • Q&A Data-Centric Strategy & Roadmap Tweeting now: #dataed
- 25. 49Copyright 2017 by Data Blueprint Slide # Data Strategy Data Strategy is Implemented in 2 Phases 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) You are here 1) Identify the primary constraint keeping data from fully supporting strategy 2) Exploit organizational efforts to remove this constraint 3) Subordinate everything else to this exploitation decision 4) Elevate the data constraint 5) Repeat the above steps to address the new constraint Theory of Constraints 50Copyright 2017 by Data Blueprint Slide #
- 26. QR Code for PeterStudy • Free Case Study Download• Free Case Study Download – http://dl.acm.org/citation.cfm?doid=2888577.2893482 or http://tinyurl.com/PeterStudy or scan the QR Code at the right 51Copyright 2017 by Data Blueprint Slide # • First, fix the prerequisites! • The problem: – Issuing new store numbers – Spreadsheet based – Pervasive – Not governed – Would issue the last available store number is this calendar year • The solution: 1. Identify-data/systems inventory 2. Exploit-3 digit expanded to 10 digits 3. Subordinate-prioritize and sequence remediation 4. Elevate-EXECUTE! 5. Repeat the above steps to address the new constraint Sample: Reengineering the Location Data Element 52Copyright 2017 by Data Blueprint Slide #
- 27. Why a Data Strategy? 53Copyright 2017 by Data Blueprint Slide # Managing Data with Guidance Managing Data with Guidance • How should data be used and in which business processes? • How is data shared among users, divisions, geographies and partners? • What processes and procedures allow for data to be changed? • Who manages approval processes? • What processes ensure compliance? 54Copyright 2017 by Data Blueprint Slide #
- 28. Data Strategy Framework 55Copyright 2017 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 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 56Copyright 2017 by Data Blueprint Slide # Only 1 is 10 organizations has a board approved data strategy! V2 Data Strategy: Increase organizational efficiencies/ effectiveness
- 29. Changing is Hard Culture is the biggest impediment to a shift in organizational thinking about data 57Copyright 2017 by Data Blueprint Slide # adapted from the Managing Complex Change model by Dr. Mary Lippitt, 1987 Discussion 58Copyright 2017 by Data Blueprint Slide # It’s your turn! Use the chat feature or Twitter (#dataed) to submit your questions now. + =
- 30. • February 14, 2017 @ 2:00 PM ET/11:00 AM PT • Sign up here: – www.datablueprint.com/webinar-schedule or www.dataversity.net • Data architecture is foundational to an information-based operational environment. Without proper structure and efficiency in organization, data assets cannot be utilized to their full potential, which in turn harms bottom- line business value. When designed well and used effectively, however, a strong data architecture can be referenced to inform, clarify, understand, and resolve aspects of a variety of business problems commonly encountered in organizations. • The goal of this webinar is not to instruct you in being an outright data architect, but rather to enable you to envision a number of uses for data architectures that will maximize your organization’s competitive advantage. With that being said, we will: – Discuss data architecture’s guiding principles and best practices – Demonstrate how to utilize data architecture to address a broad variety of organizational challenges and support your overall business strategy – Illustrate how best to understand foundational data architecture concepts based on the DAMA International Guide to Data Management Body of Knowledge (DAMA DMBOK) Data Architecture Strategies: Constructing Your Data Garden 59Copyright 2017 by Data Blueprint Slide # 10124 W. Broad Street, Suite C Glen Allen, Virginia 23060 804.521.4056 Copyright 2017 by Data Blueprint Slide # 60