How do

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
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2. Overview
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3. The
Experience
◦ From Data to Insight
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4. The
Experience
“We don’t have enough data….the sample size is too small”
-Moneyball
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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
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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
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7. The
Experience
Overcoming the Data Challenge
TDWI
BI Scorecard = http://tinyurl.com/l6u76yl
Higher Ed BI Conference = NKU
HEDW = http://www.hedw.org
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8. The
Experience
Observations for the BI Tenderfoot
Getting a common set of definitions is important
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9. The
Experience
Observations for the BI Tenderfoot
We are decent at collecting data but not at turning data into useful and
timely information
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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.
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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
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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
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13. The
Experience
After all of this…
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Source: http://thedoghousediaries.com/

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
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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
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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
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17. The
Experience
Primary Tool for daily reporting combined with other tools for:
Data Visualization
Charts/ Graphs
Mobile
Analysis
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18. The
Experience
Resources about our experience:
Casper College BI Learning Center
◦ http://bit.ly/1qWFX5C
Other Tools Next on our Evaluation List:
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19. Integrated Student Success Dashboard
Other Interesting Things:

20. Questions
Any Questions?
Kent Brooks
kbrooks@caspercollege.edu
Twitter: @caspercollege
www.kentbrooks.com
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