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Data Quality for Non-Data People

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Most companies do not think of data when they start out, let alone the quality of that data. With the proliferation of data and the usages of that data, organizations are compelled to focus more and more on data and their quality.
Join Kasu Sista of The Wisdom Chain to understand how to think about, implement, and maintain data quality.
You will learn about:
What do data people think about?
How do you get them to listen to what you want?
Business processes and data life span
Impact of data capture and data quality on down stream business processes
Data quality metrics and how to define them and use them
Practical metadata and data governance
What are the takeaways from the session?
How to talk to your data people
Understanding the importance of capturing data in the right way
Understanding the importance of quality metrics and bench marks
Understanding of operationalizing data quality processes

Publié dans : Business
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Data Quality for Non-Data People

  1. 1. The Wisdom Chain, LLC Copyright 2018 1 Data quality for non-data people Kasu Sista August 9, 2018
  2. 2. The Wisdom Chain, LLC Copyright 2018 2 Introduction Who are they? What is quality? Perceived quality Data life span, metadata and KPIs Core metrics What do you measure? Impact of data quality Takeaways Agenda
  3. 3. The Wisdom Chain, LLC Copyright 2018 3 Introduction Kasu Sista • The Wisdom Chain, LLC 30+ years in Data Management End to end data management Focusing on: • Analytics • Data governance • Data quality
  4. 4. The Wisdom Chain, LLC Copyright 2018 Who are they?
  5. 5. The Wisdom Chain, LLC Copyright 2018 5 Anyone that has data, analyst, report in their titles or identifies with them. Data People
  6. 6. The Wisdom Chain, LLC Copyright 2018 6 Anyone that does not identify with the previous slide Business People
  7. 7. The Wisdom Chain, LLC Copyright 2018 Differing points of view From Harvard Business Review, November 2014, Cartoon by Bill Abbott.
  8. 8. The Wisdom Chain, LLC Copyright 2018 What is Quality?
  9. 9. The Wisdom Chain, LLC Copyright 2018 What is quality? WHY?
  10. 10. The Wisdom Chain, LLC Copyright 2018 What is quality? WHY?
  11. 11. The Wisdom Chain, LLC Copyright 2018 What is quality? WHY?
  12. 12. The Wisdom Chain, LLC Copyright 2018 Quality = Trust
  13. 13. The Wisdom Chain, LLC Copyright 2018 13 Perceived Quality
  14. 14. The Wisdom Chain, LLC Copyright 2018 Reliability Durability Ease of maintenance Ease of use Trusted brand name Price Dimensions of perceived quality – Product(1) 1. European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.5, No.1, 2013
  15. 15. The Wisdom Chain, LLC Copyright 2018 You See You hear You smell You touch You taste How we evaluate? - Tangible
  16. 16. The Wisdom Chain, LLC Copyright 2018 Store / Agent / Dealer Word of mouth research Company marketing How we evaluate? - Intangible
  17. 17. The Wisdom Chain, LLC Copyright 2018 17 “Trust has to be earned, and should come only after the passage of time” - Arthur Ashe TRUST
  18. 18. The Wisdom Chain, LLC Copyright 2018 Validity Accuracy Consistency Completeness Dimensions of expected quality – Data(1) Uniqueness Timeliness Fit for purpose Source 1. DAMA UK
  19. 19. The Wisdom Chain, LLC Copyright 2018 You See You hear You smell You touch You taste Some common themes - Tangible
  20. 20. The Wisdom Chain, LLC Copyright 2018 Store / Agent / Dealer Word of mouth research Company marketing Some common themes - Intangible
  21. 21. The Wisdom Chain, LLC Copyright 2018 21 “Trust is a fragile thing. Easy to break, easy to lose and one of the hardest things to get back.” - Anonymous TRUST
  22. 22. The Wisdom Chain, LLC Copyright 2018 22 Be valid Be accurate Be complete Be consistent Be Unique Be timely How can data earn its trust? Measurable?
  23. 23. The Wisdom Chain, LLC Copyright 2018 How can data earn its trust? 23 Make sure that actual data values are consistent with defined values for that field E.g. ICD-10 code Be valid (m)
  24. 24. The Wisdom Chain, LLC Copyright 2018 How can data earn its trust? 24 Represent real life values as closely as possible. E.g. Are life span calculations accurate? Be accurate (nm)
  25. 25. The Wisdom Chain, LLC Copyright 2018 How can data earn its trust? 25 Make sure that all required data is present. E.g. Adjudicate a claim, produce a 90 day report Be complete (nm/m)
  26. 26. The Wisdom Chain, LLC Copyright 2018 How can data earn its trust? 26 Make sure that data meets expected constraints over a period of time E.g. Number of claims per month Be consistent (nm/m)
  27. 27. The Wisdom Chain, LLC Copyright 2018 How can data earn its trust? 27 Duplicate values for specific data elements are not present E.g. Patient ID Be Unique (m)
  28. 28. The Wisdom Chain, LLC Copyright 2018 How can data earn its trust? 28 Ensure that data are current. E.g. Stock prices Be timely (m)
  29. 29. The Wisdom Chain, LLC Copyright 2018 Data quality metrics 29 Validity Accuracy Completeness Consistency Uniqueness Timeliness Ratio Ratio Ratio Number / Probability No duplicates Ratio Define acceptable threshold for validity Define acceptable threshold for accuracy Define acceptable threshold for completeness Define time period for measurement Master data Define acceptable threshold for timeliness 100% for ICD-10 > 90% 100% complete for loan application Report delivered without errors 90 days in a row Single value for a patient ID Data current 99% of the time Dimension Metric Notes Example
  30. 30. The Wisdom Chain, LLC Copyright 2018 30 "It takes two to do the trust tango--the one who risks (the trustor) and the one who is trustworthy (the trustee); each must play their role. --Charles H. Green, The Trusted Advisor TRUST
  31. 31. The Wisdom Chain, LLC Copyright 2018 31 Points of view
  32. 32. The Wisdom Chain, LLC Copyright 2018 32 What is the MVP we can build? Who is my customer? Where do I find good people? How do I pay for it? How do I use technology? Points of view
  33. 33. The Wisdom Chain, LLC Copyright 2018 33 Why do they need this? Where do I get the data from? Who can tell me what the business rules are? Do I have to modify the data model? Is the data trustworthy? Points of view
  34. 34. The Wisdom Chain, LLC Copyright 2018 34 Points of view Known Unknown Known Unknown
  35. 35. The Wisdom Chain, LLC Copyright 2018 35 Points of view Quality = Trust Trust = 1 / Uncertainty
  36. 36. The Wisdom Chain, LLC Copyright 2018 36 Where do we meet? WHY WHAT HOW
  37. 37. The Wisdom Chain, LLC Copyright 2018 37 Understanding of the business problem How to measure the business impact What data is available Initial hypothesis Solution Business impact of the solutions Topics of the conversation (1) Conversation “Data is worthless if you don’t communicate it” – Thomas H. Davenport, HBR, June18, 2013
  38. 38. The Wisdom Chain, LLC Copyright 2018 38 Data life span, metadata and KPI’s
  39. 39. The Wisdom Chain, LLC Copyright 2018 39 Metrics Metadata Governance Data quality
  40. 40. The Wisdom Chain, LLC Copyright 2018 Data life span
  41. 41. The Wisdom Chain, LLC Copyright 2018 Metadata • Date – 7/30/2018 • Metadata – Technical • Name of table: Claim • Name of Field: AdmitDate • Format: MM/DD/YYYY – Business • Name: Admit date • Definition: The date patient was admitted – Business rule • Required – Usage • Used to calculate length of stay
  42. 42. The Wisdom Chain, LLC Copyright 2018 • Active governance happens during creation • Policies and procedures ensure data quality is enforced in business processes Data governance Data Creation Employees External Systems Customers Active Governance Passive Governance Does the data meet the quality standards? Is it correct? Valid? Consolidate data Does the data meet the quality standards? Is it correct? Valid? Employees External Systems Customers Data Consumption
  43. 43. The Wisdom Chain, LLC Copyright 2018 43 Core metrics
  44. 44. The Wisdom Chain, LLC Copyright 2018 44 How do you decide between value and waste?(1) Valuable data helps us: • Make better decisions • Attract more customers • Make more money Core Metrics 1. Eric Ries: Lean Startup
  45. 45. The Wisdom Chain, LLC Copyright 2018 Core Metrics 45 Define KPIs • Decide how to create and maintain them. (data governance) • Determine what data is needed to create them (metadata) • Data is created, taken care of, used and disposed (data life span) • Any data that is not used for a purpose is waste
  46. 46. The Wisdom Chain, LLC Copyright 2018 46 Create a process that helps you choose metrics They can be very simple but effective. Here are some examples Core Metrics
  47. 47. The Wisdom Chain, LLC Copyright 2018 Liquidity, matching efficiency, Trust Core metrics Happiness experience Efficient content
  48. 48. The Wisdom Chain, LLC Copyright 2018 48 Comparable Understandable Usually ratios Core Metrics Good Metrics
  49. 49. The Wisdom Chain, LLC Copyright 2018 49 Core Metrics Too many metrics = No metrics
  50. 50. The Wisdom Chain, LLC Copyright 2018 50 Impact of data quality
  51. 51. The Wisdom Chain, LLC Copyright 2018 Poor data quality 51 Lack of trust / Confidence Missed opportunities Lost revenues Reputational damage
  52. 52. The Wisdom Chain, LLC Copyright 2018 52 Confident decision making Increased productivity Increased agility Better customer satisfaction Better marketing Good data quality
  53. 53. The Wisdom Chain, LLC Copyright 2018 53 Takeaways
  54. 54. The Wisdom Chain, LLC Copyright 2018 54 Understand the different points of view Takeaways Data people deal in knowns Business people deal in uncertainties Uncertainty created mis-trust
  55. 55. The Wisdom Chain, LLC Copyright 2018 55 How do we evaluate quality? Takeaways Product quality – Tangible and intangible Data quality – Quantitative and qualitative
  56. 56. The Wisdom Chain, LLC Copyright 2018 56 How to talk to data people? Takeaways Explain why Figure out what together Leave the how to them Make sure to give them a deadline
  57. 57. The Wisdom Chain, LLC Copyright 2018 57 Capture data the right way? Takeaways Quality at the creation time is best
  58. 58. The Wisdom Chain, LLC Copyright 2018 58 Importance of metrics and bench marks Takeaways If we can’t measure, we can’t improve Measure what is of value More importantly, do not measure waste
  59. 59. The Wisdom Chain, LLC Copyright 2018 59 Impact of data quality Takeaways Good data makes good things happen Good data prevents bad things from happening
  60. 60. The Wisdom Chain, LLC Copyright 2018 60 Q&A
  61. 61. The Wisdom Chain, LLC Copyright 2018 61 Appendix 1 References
  62. 62. The Wisdom Chain | Confidential & Proprietary © 2018 The Wisdom Chain. All rights reserved. <div>Icons made by <a href="https://www.flaticon.com/authors/pixel-perfect" title="Pixel perfect">Pixel perfect</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a> is licensed by <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0" target="_blank">CC 3.0 BY</a></div> <a href='https://www.freepik.com/free-vector/businessman-in-front-of-a-choice_765208.htm'>Designed by Freepik</a> http://www.amirzakaria.com/2018/04/15/business-process-management-bpm/ http://www.uitp.org/events/training-data-collection-measurement-and-benchmarking-public-transport

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