Improving Data Quality and Governance

EDUCAUSE Showcase Series | Improving Data Quality and Governance

Why is higher education still struggling with the basics of using our abundance of data and technology to help guide decision-making? We need active planning, robust governance, a data-informed culture, and skilled data professionals.

Make a Data Plan

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To achieve a vision of what unified data models could look like in ten years, higher education leaders must create a plan to address several key areas related to data, including governance, literacy, policy, and infrastructure.

Dive into the 2024 EDUCAUSE Horizon Action Plan: Unified Data Models.

A Vision for Unified Data Models in 10 years: 1. Institutional culture, systems, and processes center holistic student success. 2. Digital literacy training is available for all faculty, staff, and students. 3. Data mesh architecture facilitates the unification of disparate data sources. 4. Industry-wide interoperability standards provide the infrastructure to combine data across functional areas and institutions. 2024 EDUCAUSE HORIZON ACTION PLAN: UNIFIED DATA MODELS

Instill Data Governance

If data governance does not serve as the central hub for various areas of data management, data initiatives will fall short in areas including transparency, accountability, privacy, security, and accuracy.

Read "You Can't Have Digital Transformation Without Data Governance," EDUCAUSE Review.

Drawing of a computer monitor. one person is standing next to it with a magnifying glass, one is sitting on top of it using a laptop, and one is putting binders into a box.
Five Steps for Getting Started with Data Governance. 5 circles, each one pointing to the next: Assess Your Institutional Data Landscape | Cultivate Data Governance Support | Appoint Data Governance Roles | Define Policies, Processes, and Training | Utilize Tools and Establish Metrics. TODD BARBER, MELISSA BARNETT, RACHEL GROENHOUT, DAVID SCHAEFER, AND EDLIRA STEFANI

Create a Data-Informed Culture

Drawsing of a group sitting around a table with a screen on the wall showing charts and graphs.

Creating a data-informed culture involves thinking across the institution and giving stakeholders the confidence needed to contribute to informed decision-making.

View "Fostering a Data-Oriented Culture" [video], EDUCAUSE Review.

Support Data Professionals

Improving data quality and governance requires skilled data professionals. The new Data Professional Pathway supports professionals whose role is to use data, information, and analytics to support data-informed decision-making and institutional success.

Navigate the EDUCAUSE Data Professional Pathway.

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The skill I've tried to hone is to help people understand where they fit in the overall Data Ecosystem. BEN WILES, CHIEF STUDENT SUCCESS & EMPOWERMENT OFFICER, CLEMSON UNIVERSITY

Showcase Webinar

Missed the Showcase Webinar | Improving Data Quality and Governance? Check out the recording to access the panel discussion.

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"Fairfield University has two major projects running in parallel: a Workday SIS implementation project and a Data Warehouse (DW) project. The data conversion phase of WD SIS reviews data quality. The DW project has data definition, classification, lineage, and transformation. New cross-functional data governance is forming to create a single source of truth, maintain data integrity and reliability, and increase access to data." —John Lombardi

Like this Solution Spotlight? Visit the EDUCAUSE Top 10 Solution Spotlights for more stories of how institutions are tackling workforce challenges in higher education.

We hope this Showcase will help you improve data quality and governance at your institution. Next up, we’ll consider the perils and promise surrounding AI (artificial intelligence) in the AI . . . Friend or Foe? Showcase launching August 19.

Gartner, How to Design an Effective Data and Analytics Operating Model, March, 2024 by Saul Judah, Andrew White
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.