Keynote for the Tennessee Association for Institutional Researchers (TENNAIR) 2013 conference. The theme of the conference being “big data” the presentation centered around the big data project of the Tennessee Board of Regents.

1. Thomas Danford
Tennessee Board of Regents
TENNAIR 2013 Conference

2. A Data Request Story …

3. Leadership doesn’t always know where to go
to ask the question.
They don’t always know how to phrase the
question.
Even if they phrase the question correctly it
isn’t always interpreted correctly.
Though we don’t collect the data … someone
else might be.
Others?
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5. Include:
 Market related factors (e.g. competition)
 Consumer demand (e.g. quality, completion)
 Technology inputs
 Societal pressures (e.g. government regulation)
Complete College Tennessee Act of 2010
(CCTA) TCA 49-8-101(c)
The National Center for Higher Education
Management Systems (NCHEMS) Report
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6. NCHEMS
RECOMMENDATIONS TO
TBR
(ACCEPTED AT JUNE 20TH 2010 BOARD MEETING)
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7. How “data driven/influenced” is your
institution’s leadership?
Do you have the infrastructure (data
warehouse) to support a big data
project?
Do you have the funding and staffing for
a big data project?
How “on board” is everyone?
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8. Collaboration on development, costs,
and maintenance of 3 repositories.

9. The TBR Report Repository
≈ 400 reports identified
Being examined for duplication & overlap
Categorized into:
Institution specific
Potential system-wide
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10. The TBR KPI Repository
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Source/KPI
Document
Documents where the recommendation
for the metric came from
Metric Owner
Explains who at institution is responsible
for hitting the metric's target
Department
States the department of the person at
institution who is responsible for hitting
the metric's target
Dimensions
Explains all the categories in which the
metric will be reported (e.g. total
enrollment by race, gender, zip code -
race, gender, zip code are the
dimensions)
Frequency
States how often the metric should be
reported (Most are reported by semester
or annually)
Related
Objective Maps the metric to an institution metric
Metric
Category
Type of metric (e.g. Admissions,
Development)
Metric ID
Unique identifier assigned to each
metric
President’s
Dashboard
(Y/TBD/N)
Establishes whether the metric will or
will not be on the President's executive
dashboard
Metric Name Name given to the metric
Metric
Description Detail on what the metric measures
Calculation Defines how to calculate the metric
Unit of
Measure
Explains the form the metric will be in
(e.g. $, %)
Numerous key performance metrics have been defined using the following
factors:
≈180 reportable out of Banner with an additional 12 added from CCTA
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11. CDR
UM
WSCC
VSCC
TTU
TSU
STCC
RSCC
PSCC
NeSCC
NaSCC
MSCC
MTSU
JSCC
ETSU
DSCC
CoSCC
ClSCC
ChSCC
APSU
Board Office
BI Development
SingleDatabase(Oracle)
Multiple Entities (MEP)
The TBR Common Data Repository
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12. Institutional Performance Management
Beta Negotiations
http://bit.ly/1cfB2VX
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13. Additional Collaboration in Big Data
and BI

14. 14
KPI Examples - Graduation Rates with Sub-populations
ACADEMIC_OUTCOME
academic_period
person_uid
degree
degree_awarded_ind
PERSON
person_uid
primary_ethnicity
gender
birth_date
AID_DISBURSEMENT
aid_year
person_uid
pell_eligible_ind
pell_calculated
total_disbursed
f((fp)+(f0))=graduate
f((fp)+(f0)+(fd))=Pell graduate

15. 15
Faculty Member
Director - Department Head
Dean – AVP
President
VP

16. “Predictive” models as they relate to producing concrete, tangible, and
useful results.
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18. Source: Gartner, Inc. 18

19. Source: Stefan Groschupf | December 19, 2012 | Big Data Analytics
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20. Thomas Danford
Tennessee Board of Regents
http://www.linkedin.com/in/tdanford
http://twitter.com/tdanford
thomas.danford@tbr.edu
Time for Questions &
Discussion?
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