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Data governance Dr. Cathy J. Lebo Data governance Dr. Cathy J. Lebo

Data governance Dr. Cathy J. Lebo - PowerPoint Presentation

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Data governance Dr. Cathy J. Lebo - PPT Presentation

Assistant Provost and Director of Institutional Planning and Research University of Florida January 2018 Contents What is data governance UF Data Governance Council Why data quality matters ID: 807918

university data research institutional data university institutional research rates time definitions faculty planning governance staff order business information quality

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Slide1

Data governance

Dr. Cathy J. Lebo

Assistant Provost and Director

of Institutional Planning and Research

University of Florida

January 2018

Slide2

Contents

What is data governance?

UF Data Governance CouncilWhy data quality matters.

Slide3

Data governance

What is . . .

Slide4

DEFINITIONShared authority, control, and decision-making over the management of data assets.The coordination and collaboration of people, processes, and technology across the university to manage institutional data.Includes data stewards, subject matter experts, front-line business users, and management who must reach agreement on authoritative sources, data definitions, and data access and use policies.

Slide5

Data asset life cycle

Slide6

KEY DATA MANAGEMENT FUNCTIONS

Slide7

PRINCIPLES OF DATA GOVERNANCE1. Centralized process for changes to master data2. Easy comparisons between versions of master data3. Map master data to transactional and analytical systems4. Enterprise-wide hierarchical data relationships5. Data definitions consistent with industry and regulatory standards 6. Standard metrics and measurements7. Collaborative workflows

Slide8

AVOID THIS SCENARIO

Slide9

Data governance council

UNIVERSITY OF FLORIDA

Slide10

Members of the council 2018DOMAINTRUSTEETRUSTEE DELEGATE

PersonCharlie LaneElizabeth RusczykAcademic AffairsJoe GloverAngel Kwolek-Folland

StudentZina EvansSteve PritzResearchDavid NortonStephanie GrayHuman ResourcesJodi GentryMelissa Curry

Services and ResourcesCurtis ReynoldsCraig HillFinancial Resources

Mike McKeeGeorge Kolb, Alan West

Advancement

Tom Mitchell

TBD

Chair: Joe Glover, Vice-chair: Cathy Lebo

Slide11

ROLES IN DATA GOVERNANCEData Trustee university officers with oversight responsibility for specific data domainsData Trustee Delegate manage data definitions and policies on access, usage, and retention Data Steward Senior staff with domain knowledge and multiple perspectives. Migrate and modify data, communicate business rules and definitions, authorizes access to data.Data Custodian Knows how data are stored, processed, and transmitted by the university. Maintains data integrity, security, and confidentiality.

Data User Individual with access to institutional data appropriate to their role and functions within the university.

Slide12

BUSINESS CASE FOR DATA GOVERNANCE1. Agility and flexibility of management2. Ability to compete with peer institutions3. Realize full analytical potential4. Improve quality of institutional data5. Consistent, accurate longitudinal answers with documentation6. Regulatory compliance7. Mitigate risk8. Sustainable information models9. Encourage collaboration to proactively resolve data issues10. Respond to key business initiatives

Slide13

Why data quality matters

INSTITUTIONAL PLANNING AND RESEARCH

Slide14

Institutional Planning and Research Institutional Planning and Research provides analytical studies to the executive leadership of the university for planning, policy development and management of academic programs. The office collects, analyzes, and presents data about the university, building the official source of information about the University of Florida. Additional peer studies place the university in context among leading research universities.Institutional Research designs and maintains research databases to support complex analyses and external reporting on a wide range of subjects including admissions, financial aid, enrollment, degrees awarded, undergraduate and graduate

education, research funding, salaries, faculty and staff.decision support, analytics, and reporting

Slide15

Levels of precision

Data mining

Federal compliance reporting

Student unit record systems

Slide16

Thousands of chartsBarStacked barLine

AreaHistogramBox plot Scatter plotQuadrant plotDual axisPareto BubbleSpiderGanttFishbone (Ishikawa)PieDoughnut

Slide17

Hundreds of key indicatorsStudent/faculty ratiosClass sizeGraduation ratesStandardized test scoresAdmit rates

What do you need to know?Industry standardsRegulatory definitionsInstitutional parametersInstitutional contextTimingData quality – definitions, changes, context, missing pieces

Slide18

Federal indicatorsRetention rates of first-time undergraduatesShould we be concerned about the retention rates of part-time students?

Slide19

Institutional contextimplemented in Aug 2016part of the COMPASS projecteasier to apply to collegeboth public and private partners90 universities http://

www.coalitionforcollegeaccess.orgMycoalition.orgNumber of applicationsIncrease in applications after UF moves to Coalition applicationHow will this change impact admit rate, yield, and the profile of the entering class?

Slide20

Preliminary questionsWhat question are we trying to answer?Who is the intended audience?

What is the time frame?How is the information going to be presented?Have we answered this question before?What point are we trying to make?How soon do they need the answer?“Numbers have an important story to tell. They rely on you to give them a voice.” – Stephen Few

Slide21

secondary questions What data do we have?What data do we need?What are the available sources of data?What are the best data for the question?Are we including all cases?Have we explained our assumptions?Have we explained the limits, caveats on the data?

“What we have is a data glut.” – Vernon Vinge“Getting information off the Internet is like taking a drink from a firehose.” – Mitchell Kapor

Slide22

1st order – How many?How many faculty do we have?define facultydefine populationdefine census pointrecode 184 faculty titles

Slide23

2nd order – change over timeHow have alumni giving rates changed over the last decade?

Slide24

3rd order – targets, goalsWhat should our retention, graduation rates be?

Slide25

Spider chartRadar plot, flower chartVariables measured by different scales can be comparedVolume and per capita measuresCompares institutional measures to peer group

Slide26

4th order – Assessments and projections

Improving four-year

graduation rates

Graduate in 4 years

Graduate in 5 years

Graduate in 6 years

Filed for graduation

Still enrolled

Stop outs

Left the university

By entering cohort

for first-time, full-time

undergraduates

Slide27

5th order – why?Why are graduation rates lower for students with certain types of financial aid?

Slide28

State indicatorsState examining growth in administrative staff at Florida universitiesNew state-wide personnel classificationUF staff re-classificationGrowth rates Staffing ratios

What the driving forces behindincreases in administrative staff?BOG Personnel Classification [DRAFT]01

Core Operational and Support Staff02Core Operational Supervisor03Specialized Technical / Para-Professional04Non-Faculty Supplementary Personnel

05Instruction and Research Supplementary Personnel06Faculty (Full Time)

07

Faculty Administrators – Managerial

08

Professionalized Occupation

09

Professional

10

Lower Level Managerial

11Higher Level Managerial12Lower Level Executive13Upper Level Executive

Slide29

Steps to data qualityInspect the dataDocument metadata, definitions, changesDouble-check ETL processesDouble-check queries and codesLevels of precisionWork with business expertsThis is a team effort!

data detectives

Slide30

Data  information insightsHubble Space Telescopestar cluster in our galaxy

Better answers, not more answersHigher levels of precisionFilter out the noise from the signalInstitutional Planning and ResearchOur goal is to provide the right answer, in the right format, at the right time.