Current State of Data at UWM

UWM’s data currently reside in fragmented and incompatible data sets resulting from a wide variety of data tracking, collection, and storage methods by various university units. In order to confidently and broadly analyze and report data that accurately reflects activities across the institution, the university must address core issues.

Core Principles for Data Management at UWM

  1. Data are a critical resource and belong to the institution, not individual units.
  2. Data are as important for analysis and reporting are for transactional/operational needs.
  3. Policies and procedures must be standardized to ensure data quality.
  4. Data and policies must be compliant with legal and confidentiality considerations.

D.A.W.G.: A Mechanism for Change

  • Provide mechanism for face‐to‐face communication among those who have an interest in quality data and analysis.
  • Communication across silos will help everyone.
  • Venue for various constituencies to educate each other about campus needs and barriers.
  • Breadth of membership provides an opportunity to imagine, design, and implement creative and innovative solutions to data problems.
  • Creation of sub‐teams will allow for topic/area-specific coordination and collaboration.

Goals of D.A.W.G.

  1. Create transparency – make data more accessible and easier to get and use.
  2. Enhance accountability – eliminate inconsistencies in collection, processing, reporting, and reduce multiple, disparate sources.
  3. Emulate best practices in data management.
  4. Create efficiencies by increasing consistency, coordinating analytical resources, and eliminating duplication.

Topics/Areas of Exploration

  1. Report Development:  Both research and operational analytics
  2. Data Access:  Ease of process to get access and ease of use once access acquired, e.g. view development, data dictionary development, labelling, etc.
  3. Tools:  Do we have the right tools to create the reports desired?  What investments need to be made?
  4. Personnel and Resources across university and within divisions

Envisioned Future State of Data Management at UWM

  • UWMs data, spanning student, human resources, budget, etc., coexist peacefully in a single source warehouse or repository.
  • While transactional/operational information systems, e.g. PeopleSoft or HRS, operate much as they currently do at the unit level, data necessary to inform and lead strategic thinking and decision-making is identified, defined, collected and stored for campus use in a user-friendly, well-defined and appropriately resourced repository or warehouse.
  • Appropriate training in both tool usage and data definition allow advanced end-users across campus to access confidently and analyze data on an ad-hoc and as needed basis.
  • General end-users have specialized tools developed by data and technology experts focused on topics and planning priorities.
  • Data is perceived as a campus tool and campus resource rather than as a product of one office and used by only a few.
  • Training in data entry and key transactions reduces time spent on remedial data action, i.e. clean up

D.A.W.G. Membership

Work Group Members
Gesele Durham
Johannes Britz
Jonathan Hanes
Bob Beck
Ed Melchior
Margo Anderson
Jerry Tarrer
Joey Zafra
Phyllis King
Dev Venugopalan
Tim Danielson
Seth Zlotocha
Geoff Hurtado
Marija Gajdardziska-Josifovska
Mark Harris
Pat Kessenich
Mark Jacobson

Meeting Agendas and Minutes

Supplemental Reading