0
Thomas Danford
Tennessee Board of Regents
TENNAIR 2013 Conference
A Data Request Story …
Leadership doesn’t always know where to go
to ask the question.
They don’t always know how to phrase the
question.
Even...
Include:
 Market related factors (e.g. competition)
 Consumer demand (e.g. quality, completion)
 Technology inputs
 S...
NCHEMS
RECOMMENDATIONS TO
TBR
(ACCEPTED AT JUNE 20TH 2010 BOARD MEETING)
6
How “data driven/influenced” is your
institution’s leadership?
Do you have the infrastructure (data
warehouse) to suppor...
Collaboration on development, costs,
and maintenance of 3 repositories.
The TBR Report Repository
≈ 400 reports identified
Being examined for duplication & overlap
Categorized into:
Institut...
The TBR KPI Repository
10
Source/KPI
Document
Documents where the recommendation
for the metric came from
Metric Owner
Exp...
CDR
UM
WSCC
VSCC
TTU
TSU
STCC
RSCC
PSCC
NeSCC
NaSCC
MSCC
MTSU
JSCC
ETSU
DSCC
CoSCC
ClSCC
ChSCC
APSU
Board Office
BI Develo...
Institutional Performance Management
Beta Negotiations
http://bit.ly/1cfB2VX
12
Additional Collaboration in Big Data
and BI
14
KPI Examples - Graduation Rates with Sub-populations
ACADEMIC_OUTCOME
academic_period
person_uid
degree
degree_awarded_...
15
Faculty Member
Director - Department Head
Dean – AVP
President
VP
“Predictive” models as they relate to producing concrete, tangible, and
useful results.
16
Source: Gartner, Inc. 18
Source: Stefan Groschupf | December 19, 2012 | Big Data Analytics
19
Thomas Danford
Tennessee Board of Regents
http://www.linkedin.com/in/tdanford
http://twitter.com/tdanford
thomas.danford@t...
Big Data in Higher Ed TENNAIR13
Big Data in Higher Ed TENNAIR13
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Big Data in Higher Ed TENNAIR13

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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.

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  • Transcript of "Big Data in Higher Ed TENNAIR13"

    1. 1. Thomas Danford Tennessee Board of Regents TENNAIR 2013 Conference
    2. 2. A Data Request Story …
    3. 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? 3
    4. 4. 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 5
    5. 5. NCHEMS RECOMMENDATIONS TO TBR (ACCEPTED AT JUNE 20TH 2010 BOARD MEETING) 6
    6. 6. 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? 7
    7. 7. Collaboration on development, costs, and maintenance of 3 repositories.
    8. 8. The TBR Report Repository ≈ 400 reports identified Being examined for duplication & overlap Categorized into: Institution specific Potential system-wide 9
    9. 9. The TBR KPI Repository 10 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 10
    10. 10. 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 11
    11. 11. Institutional Performance Management Beta Negotiations http://bit.ly/1cfB2VX 12
    12. 12. Additional Collaboration in Big Data and BI
    13. 13. 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
    14. 14. 15 Faculty Member Director - Department Head Dean – AVP President VP
    15. 15. “Predictive” models as they relate to producing concrete, tangible, and useful results. 16
    16. 16. Source: Gartner, Inc. 18
    17. 17. Source: Stefan Groschupf | December 19, 2012 | Big Data Analytics 19
    18. 18. Thomas Danford Tennessee Board of Regents http://www.linkedin.com/in/tdanford http://twitter.com/tdanford thomas.danford@tbr.edu Time for Questions & Discussion? 20
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