About Us

About Data, Academic Planning & Institutional Research (DAPIR)

The newly formed Data, Academic Planning & Institutional Research office joins the offices of Academic Planning and Institutional Research (APIR) with the Office of Data Management and Analytics Services (ODMAS). This new, combined office leverages the strengths of the two offices to advance the use of data to inform strategic efforts at UW–Madison.

  • Supports strategic, academic, and budgetary planning and decision-making through analytics, including the presentation and distribution of relevant and timely information, policy analyses, peer comparisons, and projections of future trends;
  • Prepares comparative analyses of UW-Madison to peer institutions as a context for planning and decision-making, policy development, and review;
  • Responds to internal and external requests for analytic information about UW-Madison’s academic people, programs, structures, and curriculum;
  • Coordinates the governance activity of the University Academic Planning Council (UAPC) and the University Curriculum Committee (UCC), which together touch every course, curricular, and program proposal (new and change proposals), and oversee program review and academic policy development; coordinates and oversees Lumen;
  • Facilitates the flow of information regarding academic-related governance processes among the Provost’s Office, UW System Administration and Board of Regents, and UW-Madison administrative offices;
  • Builds relationships with external organizations, agencies, and vendors to expand the data resources available to the university.
  • Leading data governance and data warehouse development, serves a critical enterprise data role at UW-Madison;
  • In facilitating the work of the Data Governance Council and developing institutional data policy, procedures, and standards, the department maintains the campus data dictionary, tracks and manages major institutional data issues, and designs the use of common data definitions in system-to-system integrations;
  • Data warehouse development (InfoAccess and the Badger Data Warehouse);
  • Provides optimized, secure, and sanctioned back-end data architecture and Tableau visualizations;
  • Supports business intelligence (BI) developers across campus in delivering data insights through Tableau as well as a number of other query and data science tools;
  • Provide additional resources for individuals across campus to use data consistent with institutional analyses;
  • Expand data availability, reporting, and allow for more cross-function analyses.
Skip to content