• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Providing Metrics for Decision Makers CoHEsion13
 

Providing Metrics for Decision Makers CoHEsion13

on

  • 227 views

Departments across any institution, from finance to HR, enrollment to alumni, to student services et al., management is constantly looking for ways to improve the performance of their organizations ...

Departments across any institution, from finance to HR, enrollment to alumni, to student services et al., management is constantly looking for ways to improve the performance of their organizations and initiatives. Nevertheless, providing metrics to enable decision makers to align departmental goals with the mission of the institution is difficult. This presentation will chronicle what the Tennessee Board of Regents is doing to lower the barriers of cost, time, and quality in delivering actionable metrics to campus leaders across the system.

Statistics

Views

Total Views
227
Views on SlideShare
227
Embed Views
0

Actions

Likes
0
Downloads
2
Comments
0

0 Embeds 0

No embeds

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Providing Metrics for Decision Makers CoHEsion13 Providing Metrics for Decision Makers CoHEsion13 Presentation Transcript

    • co•he•sion noun kō-ˈhē-zhən 1 : the act or state of sticking together tightly; especially: unity Providing Metrics for Decision Makers Presented by: Thomas Danford Tennessee Board of Regents Monday, November 4 11:15 Course ID 237
    • Session Rules of Etiquette Please turn off your cell phone/pager If you must leave the session early, please do so as discreetly as possible Please avoid side conversation during the session Thank you for your cooperation! 2 CoHEsion Summit
    • Introduction Data Driven Decision Making Comes to Higher Education! • • • • • • 3 An Anecdotal Data Story Drivers & Barriers to Big Data The Tennessee Board of Regents (TBR) Challenges TBR’s Collaborative Approach Opportunities to Partner Closing Thoughts CoHEsion Summit
    • A Data Request Story … The “New” Chancellor’s/President’s First Request for “Information” 4 CoHEsion Summit
    • Lessons Learned from our Story? • • • • • 5 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? CoHEsion Summit
    • DRIVERS AND BARRIERS TO BIG DATA 6 CoHEsion Summit
    • Drivers to Big Data 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 7 CoHEsion Summit
    • NCHEMS Recommendations to TBR (Accepted at June 20th 2010 Board Meeting) 8 CoHEsion Summit
    • Barriers (Issues & Obstacles) • • • • 9 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? CoHEsion Summit
    • TBR’s Challenges 10 CoHEsion Summit
    • THE TBR APPROACH Collaboration on development, costs, and maintenance of 3 repositories. 11 CoHEsion Summit
    • The TBR Report Repository ≈ 400 reports identified Being examined for duplication & overlap Categorized into: Institution specific Potential system-wide 12 CoHEsion Summit
    • The TBR KPI Repository Numerous key performance metrics have been defined using the following factors: Metric Category Metric ID Type of metric (e.g. Admissions, Development) Unique identifier assigned to each metric Source/KPI Document Metric Owner 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 Unit of Measure Defines how to calculate the metric Explains the form the metric will be in (e.g. $, %) Department Dimensions Frequency Related Objective Documents where the recommendation for the metric came from Explains who at institution is responsible for hitting the metric's target States the department of the person at institution who is responsible for hitting the metric's target 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) States how often the metric should be reported (Most are reported by semester or annually) Maps the metric to an institution metric ≈180 reportable out of Banner with an additional 12 added from CCTA 13 CoHEsion Summit
    • Single Database (Oracle) The TBR Common Data Repository 14 BI Development Board Office APSU ChSCC ClSCC CoSCC DSCC ETSU JSCC MTSU CDR MSCC NaSCC NeSCC PSCC RSCC STCC TSU TTU VSCC WSCC UM Multiple Entities (MEP) CoHEsion Summit
    • A Two Phase Approach PHASE I PHASE II APSU ETSU MTSU TSU TTU UoM 15 ChSCC CoSCC DSCC ClSCC TBR MSCC PSCC STCC VSCC RSCC WSCC JSCC NaSCC NeSCC CoHEsion Summit
    • Institutional Performance Management Beta Negotiations http://bit.ly/1cfB2VX 16 CoHEsion Summit
    • OPPORTUNITIES Additional Collaboration in Big Data and BI 17 CoHEsion Summit
    • KPI Repository Development KPI Examples - Graduation Rates with Sub-populations ACADEMIC_OUTCOME academic_period person_uid degree degree_awarded_ind PERSON f((fp)+(f0))=graduate person_uid primary_ethnicity gender birth_date AID_DISBURSEMENT f((fp)+(f0)+(fd))=Pell graduate aid_year person_uid pell_eligible_ind pell_calculated total_disbursed 18 CoHEsion Summit
    • Awareness, Education, Training President VP Dean – AVP Director - Department Head Faculty Member 19 CoHEsion Summit
    • Taking It To The Next Level “Predictive” models as they relate to producing concrete, tangible, and useful results. 20 CoHEsion Summit
    • CLOSING THOUGHTS 21 CoHEsion Summit
    • The Gartner “Hype” cycle Source: Gartner, Inc. 22 CoHEsion Summit
    • Crossing the “Chasm” – Big Data Analytics Source: Stefan Groschupf | December 19, 2012 | Big Data Analytics 23 CoHEsion Summit
    • Questions & Discussion? Thank You! Thomas Danford Tennessee Board of Regents http://www.linkedin.com/in/tdanford http://twitter.com/tdanford thomas.danford@tbr.edu Please complete the session evaluation form Course ID 237 24 CoHEsion Summit