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Mountain moot 2014-From Data to Insight

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Mountain moot 2014-From Data to Insight

  1. 1. Mountain Moodle Moot 2014 BI/ Analytics Observations & Review: Getting from Data to Insight Kent Brooks IT Director Casper College July 10, 2014 #mtmoot @kentbrooks 1
  2. 2. Overview 2
  3. 3. The Experience ◦ From Data to Insight 3
  4. 4. The Experience “We don’t have enough data….the sample size is too small” -Moneyball 4
  5. 5. The Experience The Data Challenge (Part 1) We have Web Intelligence but are lacking the ability to create reports from our whole data set. SAP( for example) = good daily reports but no ad hoc, no visualization no dashboards 5
  6. 6. The Experience The Data Challenge (Part 2) We are being asked to be wise stewards of state resources about a field that is brand new The skills we are being asked to learn to do this right are in addition to all the other things we must know 6
  7. 7. The Experience Overcoming the Data Challenge TDWI BI Scorecard = http://tinyurl.com/l6u76yl Higher Ed BI Conference = NKU HEDW = http://www.hedw.org 7
  8. 8. The Experience Observations for the BI Tenderfoot Getting a common set of definitions is important 8
  9. 9. The Experience Observations for the BI Tenderfoot We are decent at collecting data but not at turning data into useful and timely information 9
  10. 10. The Experience Observations for the BI Tenderfoot Not one tool does everything (Even Moodle in the Analytics Area) Even if you say you have a Data Warehouse you can only say you're doing Business Intelligence if you have tools to change data into useful information and get it to the appropriate person. 10
  11. 11. The Experience Observations for the BI Tenderfoot We need collect more data more rapidly and turn it into information There is never enough resources allocated to education The perfect is the enemy of the good People matter more than technology 11
  12. 12. The Experience Observations for the BI Tenderfoot Premise options give more options and capabilities for customization than cloud options This is all brand new, you need a data scientist but they are not common….yet The only KPI that matters is user adoption 12
  13. 13. The Experience After all of this… 13 Source: http://thedoghousediaries.com/
  14. 14. The Experience Other Observations: 100% BI utilization should be goal Immediate need is still real-time Ad Hoc Reporting and analysis Ethics in Analytics is virtually ignored Whatever you do should be Data Source Agnostic Take a broader view of what you are doing (not Just LMS) Probably a tool kit rather than a tool 14
  15. 15. The Experience So What do we need to do? Question 1: What are we going to measure? Question 2: Broader View…..What are the relationships between all our data sources? ◦ Moodle ◦ SIS ◦ Social Media ◦ Custom Apps 15
  16. 16. The Experience What about Learning Analytics & Moodle?: Really happy to hear energy is being spent on this topic Even happier to hear Analytics Ethics being discussed 16
  17. 17. The Experience Primary Tool for daily reporting combined with other tools for: Data Visualization Charts/ Graphs Mobile Analysis 17
  18. 18. The Experience Resources about our experience: Casper College BI Learning Center ◦ http://bit.ly/1qWFX5C Other Tools Next on our Evaluation List: 18
  19. 19. Integrated Student Success Dashboard Other Interesting Things:
  20. 20. Questions Any Questions? Kent Brooks kbrooks@caspercollege.edu Twitter: @caspercollege www.kentbrooks.com 20