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Data-Ed Webinar: Your Data Strategy

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In many organizations and functional areas, data has pulled even with money in terms of what makes the proverbial world go round. As businesses struggle to cope with the 21st century’s newfound data flood, it is more important than ever before to prioritize data as an asset that directly supports business imperatives. However, while organizations across most industries make some attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. Data Quality), the results of these efforts frequently fall far below expectations. At the root of many of these failures is poor organizational Data Management—which fortunately is a remediable problem.

This webinar will cover three lessons, each illustrated with examples, that will help you establish realistic goals and benchmarks for Data Management processes and communicate their value to both internal and external decision-makers:

How organizational thinking must change to include value-added Data Management practices
The importance of walking before you run with data-focused initiatives
Prioritizing specification and Data Governance over “silver bullet” analytical tools
Discuss foundational data-centric concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)

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Data-Ed Webinar: Your Data Strategy

  1. 1. Your Data Strategy Crafting A Strategy for Your Data: 
 Your most powerful, yet underutilized and poorly managed organizational asset Copyright 2018 by Data Blueprint Slide # 1 Peter Aiken, Ph.D. • DAMA International President 2009-2013 • DAMA International Achievement Award 2001 (with Dr. E. F. "Ted" Codd • DAMA International Community Award 2005 Peter Aiken, Ph.D. • 33+ years in data management • Repeated international recognition • Founder, Data Blueprint (datablueprint.com) • Associate Professor of IS (vcu.edu) • DAMA International (dama.org) • 10 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 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 2018 by Data Blueprint Slide #
  2. 2. 3Copyright 2018 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 4Copyright 2018 by Data Blueprint Slide # • 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 Your Data Strategy
  3. 3. Simon Sinek: How great leaders inspire action 5Copyright 2018 by Data Blueprint Slide # http://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action.html 
 
 
 
 
 
 
 
 
 What 
 
 
 
 
 
 How Why • “It’s not what you do, it’s why you do it” • Rev. Martin Luther King Jr. gave the - "I have a dream speech" - not the - "I have a plan speech" What is a Strategy? 6Copyright 2018 by Data Blueprint Slide # • Current use derived from military • “a pattern in a stream of decisions” [Henry Mintzberg]
  4. 4. 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” 7Copyright 2018 by Data Blueprint Slide # – “a pattern 
 in a stream 
 of decisions” Napoleon Strategy Example 2 8Copyright 2018 by Data Blueprint Slide #
  5. 5. Supply Line Metadata 9Copyright 2018 by Data Blueprint Slide # First Divide 10Copyright 2018 by Data Blueprint Slide #
  6. 6. Then Conquer 11Copyright 2018 by Data Blueprint Slide # Wayne Gretzky’s
 Definition of Strategy 12Copyright 2018 by Data Blueprint Slide # He skates to where he 
 thinks the puck will be ...
  7. 7. Organizational Assets • Cash & other financial instruments • Real property • Inventory • Intellectual Property • Human – Knowledge – Skills – Abilities • Financial • Organizational reputation • Good will • Brand name • Data!!! 13Copyright 2018 by Data Blueprint Slide # Separating the Wheat from the Chaff 14Copyright 2018 by Data Blueprint Slide #
  8. 8. Separating the Wheat from the Chaff • Data that is better organized increases 
 in value • Poor data management practices are costing organizations much money/time/effort • 80% of organizational data is ROT – Redundant – Obsolete – Trivial 15Copyright 2018 by Data Blueprint Slide # Incomplete Data Assets Win! 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 √ √ √ √ Data Assets Win! • 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! • As such, data deserves: – It's own strategy – Attention on par with similar organizational assets – Professional ministration to make up for past neglect 16Copyright 2018 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]
  9. 9. 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 2018 by Data Blueprint Slide # 17 Put simply, organizations: 18Copyright 2018 by Data Blueprint Slide # • Have little idea what data they have • Do not know where it is (and) • Do not know what their knowledge workers do with it
  10. 10. Pretend it doesn't exist 19Copyright 2018 by Data Blueprint Slide # There will never be less data than right now! 20Copyright 2018 by Data Blueprint Slide # As articulated by Micheline Casey
  11. 11. 21Copyright 2018 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 22Copyright 2018 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
  12. 12. 23Copyright 2018 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 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) 24Copyright 2018 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!
  13. 13. I shall not today attempt further to define the kinds of material but I know it when I see it ... (Justice Potter Stewart) 25Copyright 2018 by Data Blueprint Slide # Big Data 26Copyright 2018 by Data Blueprint Slide #
  14. 14. Big Data 27Copyright 2018 by Data Blueprint Slide # [ Techniques / Technologies ] 28Copyright 2018 by Data Blueprint Slide # Big Data
  15. 15. 29Copyright 2018 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 30Copyright 2018 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)
  16. 16. Reasons for a Data Strategy 31Copyright 2018 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 – Power-by-the-hour – No payment for down time – Wing to wing – When was it invented? What did Rolls Royce Learn 32Copyright 2018 by Data Blueprint Slide # from Nascar?
  17. 17. 33Copyright 2018 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 34Copyright 2018 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 determine 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)
  18. 18. 35Copyright 2018 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 determine 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) Change Management & Leadership 36Copyright 2018 by Data Blueprint Slide #
  19. 19. 37Copyright 2017 by Data Blueprint Slide # CIOs aren't Chief Data 
 Officer Combat • Recasting the executive team. make full use of the most valuable assets 38Copyright 2017 by Data Blueprint Slide #
  20. 20. Change the status quo! • Keep in mind that the appointment of a CDO typically comes from a high-level decision. In practice, it can trigger an array of problematic reactions within the organization including: – Confusion, – Uncertainty, – Doubt, – Resentment and – Resistance. • CDOs need to rise to the challenge of changing the status quo if they expect to lead the business in making data a strategic asset. – from What Chief Data Officers Need to Do to Succeed by Mario Faria 39Copyright 2018 by Data Blueprint Slide # Diagnosing Organizational Readiness 40Copyright 2018 by Data Blueprint Slide # adapted from the Managing Complex Change model by Dr. Mary Lippitt, 1987 Culture is the biggest impediment to a 
 shift in organizational thinking about data!
  21. 21. 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 41Copyright 2018 by Data Blueprint Slide # 42Copyright 2018 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 determine 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)
  22. 22. Data Strategy Framework (Part 1) 43Copyright 2018 by Data Blueprint Slide # • Benefits & Success Criteria • Capability Targets • Solution Architecture • Organizational Development Solution • 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 Execution It is nice to get quoted ... 44Copyright 2018 by Data Blueprint Slide # “Your Organization is all about Data, until it’s not about Data” - Peter Aiken What Business are you in?
  23. 23. What do we teach IT professionals about data? 45Copyright 2018 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. Maslow's Hierarchy of Needs 46Copyright 2018 by Data Blueprint Slide #
  24. 24. You can accomplish Advanced Data Practices without becoming proficient in the Foundational Data Practices however 
 this will: • Take longer • Cost more • Deliver less • Present 
 greater
 risk
(with thanks to 
 Tom DeMarco) Data Management Practices Hierarchy Advanced 
 Data 
 Practices • MDM • Mining • Big Data • Analytics • Warehousing • SOA Foundational Data Practices Data Platform/Architecture Data Governance Data Quality Data Operations Data Management Strategy Technologies Capabilities 47Copyright 2018 by Data Blueprint Slide # DMM℠ Structure of 
 5 Integrated 
 DM Practice Areas Data architecture implementation Data 
 Governance Data 
 Management
 Strategy Data 
 Operations Platform
 Architecture Supporting
 Processes Maintain fit-for-purpose data, efficiently and effectively 48Copyright 2018 by Data Blueprint Slide # Manage data coherently Manage data assets professionally Data life cycle management Organizational support Data 
 Quality
  25. 25. Data Management Strategy is often the weakest link Data architecture implementation Data 
 Governance Data 
 Management
 Strategy Data 
 Operations Platform
 Architecture Supporting
 Processes Maintain fit-for-purpose data, efficiently and effectively 49Copyright 2018 by Data Blueprint Slide # Manage data coherently Manage data assets professionally Data life cycle management Organizational support Data 
 Quality 3 3 33 1 Hiring Panels Are Often Not Qualified to Help 50Copyright 2018 by Data Blueprint Slide #
  26. 26. Unicorn License (There Are No Unicorns) 51Copyright 2018 by Data Blueprint Slide # The Enterprise Data Executive Takes One for the Team 52Copyright 2018 by Data Blueprint Slide #
  27. 27. 53Copyright 2018 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 determine 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) 54Copyright 2018 by Data Blueprint Slide #
  28. 28. 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 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 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 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 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 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 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 55Copyright 2018 by Data Blueprint Slide # Exorcising the Seven Deadly Data Sins 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 Introducing The Data Doctrine Copyright 2018 by Data Blueprint Slide # 56 http://www.thedatadoctrine.com
  29. 29. 57Copyright 2018 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 58Copyright 2018 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
  30. 30. Theory of Constraints 59Copyright 2018 by Data Blueprint Slide # Identify the current constraints, the components of the system limiting goal realization Make quick improvements to the constraint using existing resources Review other activities in the process facilitate proper alignment and support of constraint If the constraint persists, identify other actions to eliminate the constraint Repeat until the constraint is eliminated Data Strategy Framework (Part 2) 60Copyright 2018 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
  31. 31. • 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 Example: Reengineering the Location Data Element 61Copyright 2018 by Data Blueprint Slide # Why a Data Strategy? 62Copyright 2018 by Data Blueprint Slide # Managing Data with Guidance
  32. 32. 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? 63Copyright 2018 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 64Copyright 2018 by Data Blueprint Slide #
  33. 33. Discussion 65Copyright 2018 by Data Blueprint Slide # It’s your turn! Use the chat feature or Twitter (#dataed) to submit your questions now. + = • February 13, 2018 @ 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 66Copyright 2018 by Data Blueprint Slide #
  34. 34. 10124 W. Broad Street, Suite C Glen Allen, Virginia 23060 804.521.4056 Copyright 2018 by Data Blueprint Slide # 67

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