mountain moot 2014-from data to insight

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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

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Page 1: Mountain moot  2014-From Data to Insight

Mountain Moodle Moot 2014

BI/ Analytics Observations & Review: Getting from Data to InsightKent BrooksIT Director Casper College

July 10, 2014

#mtmoot@kentbrooks

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Page 2: Mountain moot  2014-From Data to Insight

Overview

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Page 3: Mountain moot  2014-From Data to Insight

The Experience

◦ From Data to Insight

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Page 4: Mountain moot  2014-From Data to Insight

The Experience

“We don’t have enough data….the sample size is too small”

-Moneyball

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Page 5: Mountain moot  2014-From Data to Insight

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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Page 6: Mountain moot  2014-From Data to Insight

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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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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The Experience

Observations for the BI Tenderfoot

Getting a common set of definitions is important

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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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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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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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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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The Experience

After all of this…

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Source: http://thedoghousediaries.com/

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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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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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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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The Experience

Primary Tool for daily reporting combined with other tools for:

Data Visualization

Charts/ Graphs

Mobile

Analysis

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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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Integrated Student Success DashboardOther Interesting Things:

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Questions

Any Questions?

Kent Brooks

[email protected]

Twitter: @caspercollege

www.kentbrooks.com

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