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Actionable Data


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Use collaborative information gathering, root cause analysis, baseline data crafted to answer specific questions, and prioritization to create data you can act on with confidence.

Published in: Data & Analytics
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Actionable Data

  1. 1. Actionable Data Helen Linda, IT Business Analyst State of Vermont – Agency of Digital Services 124th Annual Vermont Library Conference May 18, 2018 Adapted from CONNECTING LINES image by Lauren Manning, CC BY 2.0,
  2. 2. Librarian Business Analyst SOV PIVOT Adapted from image by JesperZedlitz - Own work, Public Domain,
  3. 3. •Collaborative information gathering •Getting to root causes •Acquiring specific baseline data •Acting on greatest impact Objectives Image by Deedster – CC0 Public Domain,
  4. 4. Unscientific Method Reaction Assumption Solution Implementation Begin End
  5. 5. Reaction to: survey downtrend Assumption that: need programming Solution is: remote reference service Implement as: pilot project Real Life Example Image by Samantha Kolber for Goddard College
  6. 6. Evaluation Results Image by Helen Linda from Goddard College library report data
  7. 7. The Scientific Method Image by Thebiologyprimer - Own work, CC0,
  8. 8. Do Over Observation: collaborative matrix of interpretations Question: root cause to develop specific question Hypothesis: develop and acquire baseline data that answers that question Original uploader was Zir at English Wikipedia - Transferred from en.wikipedia to Commons., CC BY 2.5,
  9. 9. Toolkit Finding all the information • Interviewing and Listening Drilling down to the root cause • 5 Whys and Fishbone Analysis Developing meaningful data • Performance Measures and Pareto Analysis Adapted from image by Thebiologyprimer - Own work, CC0,
  10. 10. •Keywords: 5 W’s (+H), Consultative Interview, Reference Interview •Use: Open Questions •Avoid: Leading Questions Image from ArtRocks blog -
  11. 11. •Keywords: Active Listening, Informational Listening •Use: Repeating back •Avoid: Judgement Image by Fred Seibert - Own work, CC BY-NC-ND 2.0,
  12. 12. •Keywords: 5 Whys, Root Cause Analysis •Use: Simple Problems •Avoid: No known solution Image from CareerToolbox website -
  13. 13. 5 Whys Define the Problem: Must be answerable Type of Whys: Logical/sensible questions How many: Can be more/less than 5 Branching: Maybe fishbone instead Test Logic: Why down, because back Conclusion: Treating diseases not symptoms Span of Control: What’s in yours?
  14. 14. •Keywords: Fishbone Analysis/ Ishikawa, Concept Mapping •Use: Multi-stream problems •Avoid: Too deep Image from website -
  15. 15. Fishbone/Concept Map By FabianLange at de.wikipedia - Translated from en:File:Ursache_Wirkung_Diagramm_allgemein.svg, GFDL,
  16. 16. Image from Clear Impact website - •Keywords: Results-Based Accountability, Performance Measures •Use: Creativity and community •Avoid: Forcing existing data fit
  17. 17. Performance Measures Image from LSP Institute Slides -
  18. 18. •Keywords: Pareto Analysis/Chart •Use: Greatest Impact •Avoid: Trivial Many Image from Microsoft Office Support website -
  19. 19. Pareto Analysis 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 100.0% 0 5 10 15 20 25 Too far away Not open late Not open early Too old material Staff unfriendly NumberofResponses Survey Options Analysis of Survey Responses Number of Occurences Cumulative % of Occurences Image modified from State of Vermont Pareto Chart template
  20. 20. •Action, not reaction •Collaboration, not cowboy •Root causes, not superficial questions •Craft data to answer questions •Choose impact over the trivial many Image from Stevie Spiers, CC BY-NC-SA 3.0 -