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DataEd Slides: Getting Started with Data Stewardship

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In order to find value in your organization’s data assets, heroic Data Stewards are tasked with saving the day—every single day! These heroes adhere to a Data Governance framework, and work to ensure that data is captured right the first time, validated through automated means, and integrated into business processes. Whether it’s data profiling or in-depth root cause analysis, Data Stewards can be counted on to ensure the organization’s mission-critical data is reliable. In this webinar, we will approach this framework and punctuate important facets of a Data Steward’s role.

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DataEd Slides: Getting Started with Data Stewardship

  1. 1. Getting Started with Data Stewardship Copyright 2019 by Data Blueprint Slide # !1Peter Aiken, Ph.D. • DAMA International President 2009-2013 / 2018 • DAMA International Achievement Award 2001 
 (with Dr. E. F. "Ted" Codd • DAMA International Community Award 2005 Peter Aiken, Ph.D. !2Copyright 2019 by Data Blueprint Slide # • I've been doing this a long time • My work is recognized as useful • Associate Professor of IS (vcu.edu) • Founder, Data Blueprint (datablueprint.com) • DAMA International (dama.org) • 10 books and dozens of articles • Experienced w/ 500+ data management practices worldwide • 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.
  2. 2. !3Copyright 2019 by Data Blueprint Slide # • Why? – Definitions – Architectural context – Confusion abounds: IT - data - business? – Lack of correct educational focus – The role of strategy • How? – Relationship with governance – Fire station model – Reactive foci – Proactive foci • When (SDLC) – Differing cadence – Need for different structural approach – Need for simplicity – Foundational prerequisites • Take aways ➜ Q&A Getting Started with Data Stewardship !4Copyright 2019 by Data Blueprint Slide #
  3. 3. Data Steward Variety !5Copyright 2019 by Data Blueprint Slide # https://www.healthcatalyst.com/why-are-data-stewards-so-important-for-healthcare !6Copyright 2019 by Data Blueprint Slide #
  4. 4. Definitions • Steward – 1. a person who looks after the passengers on a ship, aircraft, or train and brings them meals. • synonyms: flight attendant, cabin attendant, air hostess, purser "an air steward" • a person responsible for supplies of food to a college, club, or other institution. – 2. an official appointed to supervise arrangements or keep order at a large public event, for ex. sporting event. • synonyms: official, marshal, organizer "the race stewards" • short for shop steward. – 3. a person employed to manage another's property, especially a large house or estate. • synonyms: (estate) manager, agent, overseer, custodian, caretaker; historical "the steward of the estate" • a person whose responsibility it is to take care of something."farmers pride themselves on being stewards of the countryside" • Stewarding – 1. (of an official) supervise arrangements or keep order at (a large public event). 
 "the event was organized and stewarded properly" – 2. manage or look after (another's property). • Data Steward – manage data assets on behalf of others and in the best interests of the organization (McGilvray, 2008) – represent the interests of all stakeholders and take an enterprise perspective – have dedicated time enough to be accountable and responsible • Trust – firm belief in the reliability, truth, ability, or strength of someone or something (google.com) • Fiduciary – involving trust, especially with regard to the relationship between a trustee and a beneficiary (google.com) !7Copyright 2019 by Data Blueprint Slide # Data Steward • Business data steward – Manage from the perspective of business elements (i.e. business definitions 
 and data quality) • Technical data steward – Focus on the use of data by systems and models (i.e. code operation) • Project data steward – Gather definitions, quality rules and issues for referral to business/technical stewards • Domain data steward – Manage data/metadata required across multiple business areas (i.e. customer data) • Operational data steward – Directly input data or instruct those who do; aid business 
 stewards identifying root cause and addressing issues • Metadata Data Steward – Manage metadata as an asset • Legacy Data Steward – Manage legacy data as an asset • Data steward auditor – Ensures compliance with data guidance • Data steward manager – Planning, organizing, leading and controlling !8Copyright 2019 by Data Blueprint Slide # (list adapted from Plotkin, 2014)
  5. 5. one who actively directs the use of 
 organizational data assets in support 
 of specific mission objectives Steward • one who actively directs !9Copyright 2019 by Data Blueprint Slide # , Data Data
 Steward !10Copyright 2019 by Data Blueprint Slide # • What do data stewards do in our organization? – Improve the organization's data assets value, and – Advocate/evangelize for increasing the scope/rigor of data-centric practices – Ensure efficient/effective data management practices
  6. 6. !11Copyright 2019 by Data Blueprint Slide # The DAMA Guide to the Data Management Body of Knowledge !12Copyright 2019 by Data Blueprint Slide # Data 
 Management Functions
  7. 7. !13Copyright 2019 by Data Blueprint Slide # DataManagement
 BodyofKnowledge(DMBoKV2) Data 
 Management Functionsfrom The DAMA Guide to the Data Management Body of Knowledge 2E © 2017 by DAMA International What is Data Governance? !14Copyright 2019 by Data Blueprint Slide # Managing Data with Guidance
  8. 8. Ask anyone ... !15Copyright 2019 by Data Blueprint Slide # • Would you want your sole, non- depletable, non- degrading, durable asset managed without guidance? Governance and Architecture !16Copyright 2019 by Data Blueprint Slide # Example from: https://www.slideshare.net/AnthonyDehnashi/architecture-governance
  9. 9. Corporate Governance !17Copyright 2019 by Data Blueprint Slide # • "Corporate governance - which can be defined narrowly as the relationship of a company to its shareholders or, more broadly, as its relationship to society….", 
 Financial Times, 1997. • "Corporate governance is about promoting corporate fairness, transparency and accountability" James Wolfensohn, World Bank, President Financial Times, June 1999. • “Corporate governance deals with the ways in which suppliers of finance to corporations assure themselves of getting a return on their investment”,
 The Journal of Finance, Shleifer and Vishny, 1997. !18Copyright 2019 by Data Blueprint Slide #
  10. 10. IT Governance !19Copyright 2019 by Data Blueprint Slide # • "Putting structure around how organizations align IT strategy with business strategy, ensuring that companies stay on track to achieve their strategies and goals, and implementing good ways to measure IT’s performance. • It makes sure that all stakeholders’ interests 
 are taken into account and that 
 processes provide measurable results. • Framework should answer some key 
 questions, such as how the IT department 
 is functioning overall, what key metrics 
 management needs and what return IT 
 is giving back to the business from the 
 investment it’s making." CIO Magazine (May 2007) IT Governance Institute, 5 areas of focus: • Strategic Alignment • Value Delivery • Resource Management • Risk Management • Performance Measures • "Putting structure around how organizations align IT strategy with business strategy, ensuring that companies stay on track to achieve their strategies and goals, and implementing good ways to measure IT’s performance. • It makes sure that all stakeholders’ interests 
 are taken into account and that 
 processes provide measurable results. • Framework should answer some key 
 questions, such as how the IT department 
 is functioning overall, what key metrics 
 management needs and what return IT 
 is giving back to the business from the 
 investment it’s making." CIO Magazine (May 2007) IT Governance Institute, 5 areas of focus: • Strategic Alignment • Value Delivery • Resource Management • Risk Management • Performance Measures Architecture • Things – (components)
 data structures • The functions of the things – (individually)
 sources and uses of data • How the things interact – (as a system, towards a goal)
 Efficiencies/effectiveness !20Copyright 2019 by Data Blueprint Slide #
  11. 11. Architectures: here, whether you like it or not !21Copyright 2019 by Data Blueprint Slide # deviantart.com • All organizations have architectures – Some are better understood and documented (and therefore more useful to the organization) than others Data Architectures: here, whether you like it or not !22Copyright 2019 by Data Blueprint Slide # deviantart.com • All organizations have data architectures – Some are better understood and documented (and therefore more useful to the organization) than others
  12. 12. Organizational
 Architectures • Amazon – Traditional structure • Google – Team of 3 • Facebook – Do you really have a structure? • Microsoft – Eliminate their own products • Apple – Everything revolves around one individual • Oracle – Buys one company after another !23Copyright 2019 by Data Blueprint Slide # • Process Architecture – Arrangement of inputs -> transformations = value -> outputs – Typical elements: Functions, activities, workflow, events, cycles, products, procedures • Systems Architecture – Applications, software components, interfaces, projects • Business Architecture – Goals, strategies, roles, organizational structure, location(s) • Security Architecture – Arrangement of security controls in relation to IT Architecture • Technical Architecture/Tarchitecture – Relation of software capabilities/technology stack – Structure of the technology infrastructure of an enterprise, solution or system – Typical elements: Networks, hardware, software platforms, standards/protocols • Data/Information Architecture – Arrangement of data assets supporting organizational strategy – Typical elements: specifications expressed as entities, relationships, attributes, definitions, values, vocabularies Typically Managed Organizational Architectures !24Copyright 2019 by Data Blueprint Slide #
  13. 13. !25Copyright 2019 by Data Blueprint Slide # Understanding • A specific definition – 'Understanding an architecture' – Documented and articulated as a (digital) blueprint illustrating the commonalities and 
 interconnections among the 
 architectural components – Ideally the understanding 
 is shared by systems and 
 humans !26Copyright 2019 by Data Blueprint Slide #
  14. 14. Data/Information Architectures – Useful Definition • Common vocabulary expressing integrated requirements ensuring that data assets are stored, arranged, managed, and used in systems in support of organizational strategy [Aiken 2010] !27Copyright 2019 by Data Blueprint Slide # Confusion • IT thinks data is a business problem – "If they can connect to the server, then my job is done!" • The business thinks IT is managing data adequately – "Who else would be taking care of it?" !28Copyright 2019 by Data Blueprint Slide #
  15. 15. TheFileNamingConventionCommittee'sOutput !29Copyright 2019 by Data Blueprint Slide # What do we teach knowledge workers about data? !30Copyright 2019 by Data Blueprint Slide # What percentage of the deal with it daily?
  16. 16. !31Copyright 2019 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 What do we teach IT professionals about data? Bad Data Decisions Spiral • = !32Copyright 2019 by Data Blueprint Slide # Bad data decisions Technical deci- sion makers are not data knowledgable Business decision makers are not data knowledgable Poor organizational outcomes Poor treatment of organizational data assets Poor
 quality
 data
  17. 17. The role of strategy !33Copyright 2019 by Data Blueprint Slide # Example from: https://slideplayer.com/slide/5082003/ What is a Strategy? !34Copyright 2019 by Data Blueprint Slide # • Current use derived from military • "a pattern in a stream of decisions" [Henry Mintzberg]
  18. 18. Former Walmart Business Strategy !35Copyright 2019 by Data Blueprint Slide # Every Day Low Price Wayne Gretzky’s
 Definition of Strategy He skates to where he 
 thinks the puck will be ... !36Copyright 2019 by Data Blueprint Slide #
  19. 19. Strategy in Action: Napoleon defeats a larger enemy • Question? – How to I defeat the competition when their forces are bigger than mine? • Answer: – Divide 
 and 
 conquer! – “a pattern 
 in a stream 
 of decisions” !37Copyright 2019 by Data Blueprint Slide # – “a pattern 
 in a stream 
 of decisions” Supply Line Metadata !38Copyright 2019 by Data Blueprint Slide #
  20. 20. First Divide !39Copyright 2019 by Data Blueprint Slide # Then Conquer !40Copyright 2019 by Data Blueprint Slide #
  21. 21. Complex Strategy !41Copyright 2019 by Data Blueprint Slide # W hile someone else is shooting at you! • First – Hit both armies hard at just the right spot • Then – Turn right and defeat the Prussians • And then – Turn left and defeat the British Strategy Guides Workgroup Activities !42Copyright 2019 by Data Blueprint Slide # A pattern 
 in a stream 
 of decisions
  22. 22. Strategy that winds up only on a shelf is not useful !43Copyright 2019 by Data Blueprint Slide # Data
 Strategy Data Strategy provides focus for stewardship efforts Note: Reducing ROT increases data leverage !44Copyright 2019 by Data Blueprint Slide # 
 
 
 
 
 Organizational Data Data Stewards Technologies Process People Less Data ROT ->
  23. 23. Getting Started with Data Stewardship • Why? – Stewardship terminology is not widely known – We do not have agreed upon definitions – It has become a de-facto standard – Stewards work effectively with architectural components – Strategy focuses steward leveraging activities !45Copyright 2019 by Data Blueprint Slide # http://williamnava.com/philosophy-shaves-barber-21/ !46Copyright 2019 by Data Blueprint Slide # • Why? – Definitions – Architectural context – Confusion abounds: IT - data - business? – Lack of correct educational focus – The role of strategy • How? – Relationship with governance – Fire station model – Reactive foci – Proactive foci • When (SDLC) – Differing cadence – Need for different structural approach – Need for simplicity – Foundational prerequisites • Take aways ➜ Q&A Getting Started with Data Stewardship
  24. 24. Data / Information Gap Information
 • Overly dependent upon: – Human-beings – Wetwear – Knowledge workers – Informal communications – Often described 
 as the weakest link !47Copyright 2019 by Data Blueprint Slide # Data Put simply, organizations: !48Copyright 2019 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
  25. 25. • Data stewardship happens 'pretty well' at 
 the workgroup level – Defining characteristic of a workgroup – Without guidance, what are the chances that all 
 workgroups are pulling toward the same objectives? – Consider the time spent attempting informal practices – Real value comes from making cross workgroup connections work more smoothly • Data chaff becomes sand – Preventing smooth interoperation and exchanges – Death by 1,000 cuts that have been difficult to account for • Organizations and individuals lack – Knowledge – Skills Workgroups get work done! !49Copyright 2019 by Data Blueprint Slide # !50Copyright 2019 by Data Blueprint Slide # Separating the Wheat from the Chaff
  26. 26. Separating the Wheat from the Chaff • Better organized data increases in value • Poor data management practices are costing organizations much money/time/effort • Minimally 80% of organizational data is ROT – Redundant – Obsolete – Trivial • The question is – Which data to eliminate? !51Copyright 2019 by Data Blueprint Slide # Incomplete Reduce-Reuse-Recycle … Data? • Reduce the amount of organizational data ROT – Redundant, obsolete, trivial • Reuse the remainder – Fewer vocabulary items to resolve – Greater quality engineering leverage • Integration is impossible without information architecture components (for mapping) – Maintenance of these components
 promotes greater reuse • Shared data is typified by 
 organizational ability to use 
 information as a strategic asset • However, assets are useless 
 without knowledge of the 
 asset characteristics !52Copyright 2019 by Data Blueprint Slide #
  27. 27. 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 √ √ √ √ • 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 !53Copyright 2019 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 Strategy in Context !54Copyright 2019 by Data Blueprint Slide # Organizational
 Strategy Data Strategy IT Projects Organizational Operations Data Governance Data asset support for 
 organizational strategy What the data assets need to do to support strategy How well data is supporting strategy Operational feedback How IT supports strategy Other aspects of organizational strategy
  28. 28. Data Governance & Data Stewards !55Copyright 2019 by Data Blueprint Slide # Data Strategy Data Governance What the data assets do to support strategy
 How well the data strategy is working
 (Business Goals) (Metadata) Data Stewards What is the most effective use of steward investments? (Metadata) Progress, plans, problems Frameworks !56Copyright 2019 by Data Blueprint Slide # • A system of ideas for guiding analyses • A means of organizing 
 project data • Priorities for data decision making • A means of assessing progress – Don’t put up walls until foundation inspection is passed – Put the roof on ASAP • Make it all dependent upon continued funding
  29. 29. !57Copyright 2019 by Data Blueprint Slide # A Framework For Stewardship 
 from https://www.trainingjournal.com/articles/feature/stewardship Organizational Data Challenges Stewardship Engine Regulation and Policy A Framework for Data Stewardship !58Copyright 2019 by Data Blueprint Slide # Monetary Proactive Reactive Stewardship Activities Address Some Other Time 
 
 
 
 
 Strategic Consideration Non-monetary Value
  30. 30. Domain expertise is less ← | → Domain expertise is greater Roles more formally defined ← |→ Roles less formally defined Encountergoverneddatamoredirectly←|→Encountergoverneddatalessdirectly Moretimeisdedicated←|→Lesstimeisdedicated IT/Systems Development Leadership
 (data decision makers) Stewards
 (data trustees) Guidance Decisions Participants/Experts
 (data subject matter experts) Other Sources/Uses
 (data makers & consumers) IT/SystemsDevelopment Data/feedback Changes Action R esources Ideas Data/Feedback Components comprising the data community !59Copyright 2019 by Data Blueprint Slide # !60Copyright 2019 by Data Blueprint Slide #
  31. 31. !61Copyright 2019 by Data Blueprint Slide # Getting Started with Data Stewardship • How? – Transform tribal knowledge-based processes to data asset leveraging – Understand stewards transform governance into by strategy focused action – Apply a framework to your tasks – Understand and get good at both reactive and proactive activities – Attempt to incorporate leadership outside of traditional channels – Know that you cannot accomplish 
 everything !62Copyright 2019 by Data Blueprint Slide # https://hatrabbits.com/en/how-how-diagram/
  32. 32. Keep the proper focus • Wrong question: – How should we mange this data? • Right question: – Should we include this 
 data item within the 
 scope of our 
 management 
 practices? !63Copyright 2019 by Data Blueprint Slide # Data and Duct Tape !64Copyright 2019 by Data Blueprint Slide #
  33. 33. !65Copyright 2019 by Data Blueprint Slide # • Why? – Definitions – Architectural context – Confusion abounds: IT - data - business? – Lack of correct educational focus – The role of strategy • How? – Relationship with governance – Fire station model – Reactive foci – Proactive foci • When (SDLC) – Differing cadence – Need for different structural approach – Need for simplicity – Foundational prerequisites • Take aways ➜ Q&A Getting Started with Data Stewardship 
 V1
 Organizations 
 without
 a formalized
 data stewards V3
 Data Steward: Use data to create strategic opportunities
 V4
 Data Steward: both Improve Operations Innovation The focus of data stewards should be sequenced !66Copyright 2019 by Data Blueprint Slide # Only 1 is 10 organizations has a board approved data strategy! V2
 Data Steward: Increase organizational efficiencies/ effectiveness X X
  34. 34. Organizational Data Usage Practices !67Copyright 2019 by Data Blueprint Slide # Data Management Practices Duplicated but ETLed Data
 (quality & transformations applied) 
 
 "Warehoused" Data 
 
 Learning/
 Feedback Marts Analytics Practices Data is not a Project • Durable asset – An asset that has a usable 
 life more than one year • Reasonable project 
 deliverables – 90 day increments – Data evolution is measured in years • Data – Evolves - it is not created – Significantly more stable • Readymade data architectural components – Prerequisite to agile development • Only alternative is to create additional data siloes! !68Copyright 2019 by Data Blueprint Slide #
  35. 35. !69Copyright 2019 by Data Blueprint Slide # George Box
 British Statistician 
 (1919-2013) “All models are wrong, ... ... some are useful.” theDataDoctrine.com 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 !70Copyright 2019 by Data Blueprint Slide # 
 That is, while there is value in the items on
 the right, we value the items on the left more.
  36. 36. Data programmes preceding software development !71Copyright 2019 by Data Blueprint Slide # Common Organizational Data 
 (and corresponding data needs requirements) New Organizational Capabilities Systems Development Activities Build 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 !72Copyright 2019 by Data Blueprint Slide # http://www.thedatadoctrine.com
  37. 37. Data Strategy in Context !73Copyright 2019 by Data Blueprint Slide # Organizational
 Strategy IT Strategy Data Strategy Organizational
 Strategy IT Strategy Data Strategy This is wrong! !74Copyright 2019 by Data Blueprint Slide # Organizational
 Strategy IT Strategy Data Strategy
  38. 38. Organizational
 Strategy IT Strategy This is correct … !75Copyright 2019 by Data Blueprint Slide # Data Strategy • A management paradigm that views any 
 manageable system as being limited in 
 achieving more of its goals by a small 
 number of constraints • There is always at least one constraint, and 
 TOC uses a focusing process to identify the constraint and restructure the rest of the organization to address it • TOC adopts the common idiom "a chain is no stronger than its weakest link," processes, organizations, etc., are vulnerable because the weakest component can damage or break them or at least adversely affect the outcome !76Copyright 2019 by Data Blueprint Slide # https://en.wikipedia.org/wiki/Theory_of_constraints (TOC)
  39. 39. Standard data Data supply Data literacy Making a Better Data Governance Sandwich !77Copyright 2019 by Data Blueprint Slide # Data literacy Standard data Data supply Making a Better Data Governance Sandwich !78Copyright 2019 by Data Blueprint Slide # Standard data Data supply Data literacy
  40. 40. Making a Better Data Governance Sandwich !79Copyright 2019 by Data Blueprint Slide # Standard data Data supply Data literacy This cannot happen without engineering and architecture! Quality engineering/
 architecture work products 
 do not happen accidentally! Making a Better Data Governance Sandwich !80Copyright 2019 by Data Blueprint Slide # Standard data Data supply Data literacy This cannot happen without data engineering and architecture! Quality data engineering/
 architecture work products 
 do not happen accidentally!
  41. 41. Getting Started with Data Stewardship • When? – There is a fundamental mismatch between a data program and IT projects – Objective assessments can be developed to measure and advance progress – As scale increases so does the dependency on architecture and engineering – Harmonizing organizational, IT and data strategies is key – Sequencing aspects of stewardship can be helpful !81Copyright 2019 by Data Blueprint Slide # http://www.fullasc.com/articles/2017/2/21/how-often-should-you-change-training-programs IT Business Data Perceived State of Data !82Copyright 2019 by Data Blueprint Slide #
  42. 42. Data Desired To Be State of Data !83Copyright 2019 by Data Blueprint Slide # IT Business The Real State of Data !84Copyright 2019 by Data Blueprint Slide # Data IT Business
  43. 43. Take Aways !85Copyright 2019 by Data Blueprint Slide # • Need for DS is increasing – Increase in data volume – Lack of practice improvement • DS is a new discipline – Must conform to constraints – No one best way • DS must be driven by a data strategy complimenting organizational strategy • Comparing DS frameworks can be useful • DS directs data management efforts • The language of DS is metadata • Process improvement can improve DS practices • This discipline has not had 8,000 years 
 to formalize practices ➡ GAAP • Your data is a mess and requires professional 
 ministration to make up for past neglect • Your folks don't know how to use or improve it effectively • You likely require a new business data program • Data strategy and data management are major data program components, in concert, they must focus on – Improving organizational data – Improving the way people use data – Improving how people use better data to support strategy !86Copyright 2019 by Data Blueprint Slide # This can only be accomplished incrementally using an iterative, approach focusing on one aspect at a time and applying formal transformation methods More
  44. 44. 10 Data Stewardship Practices to Avoid 1. Buy-in but not Committing: Business vs. IT 2. Ready, Fire, Aim 3. Trying to Solve World Hunger or Boil the Ocean 4. The Goldilocks Syndrome 5. Committee Overload 6. Failure to Implement 7. Not Dealing with Change Management 8. Assuming that Technology Alone is the Answer 9. Not Building Sustainable and Ongoing Processes 10. Ignoring “Data Shadow Systems” !87Copyright 2019 by Data Blueprint Slide # Upcoming Events October Webinar: Data Quality Success Stories 8 October 2019 @ 2:PM ET UTC-4 Data Architecture Summit Data Architecture Bootcamp 14 Oct 2019 @ 8:30 AM CT UTC-5.5 November Webinar: Metadata Strategies 12 Nov 2019 @ 2:PM ET UTC-5
 Data Governance Vision Rekindling Data Governance 9 Dec 2019 @ 8:30 PM CT UTC-5.5 
 December Webinar: Exorcising the Seven Deadly Data Sins 10 Dec 2019 @ 2:00 PM ET UTC-5 Sign up for webinars at: www.datablueprint.com/ webinar-schedule or at www.dataversity.net !88Copyright 2019 by Data Blueprint Slide # Brought to you by:
  45. 45. + = Questions? !89Copyright 2019 by Data Blueprint Slide # It’s your turn! 
 Use the chat feature or Twitter (#dataed) to submit your questions now! 10124 W. Broad Street, Suite C Glen Allen, Virginia 23060 804.521.4056 Copyright 2019 by Data Blueprint Slide # !90

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