Campbell, JacCarlson, DeanHagerty, J.P.Kemske, NickolasStennes, Shane2010-07-082010-07-082009-08https://hdl.handle.net/11299/917692 online resources (PDF files): Final report and Poster presentationThe University of Minnesota has committed itself to information-based decision-making, strategic planning, and continuous improvement. A key component of these efforts is getting the right information to the right people at the right time. The University contains pockets of excellence in measurement, analysis, and reporting, but does not currently have an institution-wide academic analytics strategy to achieve these goals. Implementing an academic analytics strategy holds the potential for improving the efficiency and effectiveness of programs and activities across campus. Such an undertaking, however, would not come without cost. Process reviews, increases in staffing, new training offerings, expanded communications, and software purchases to implement an academic analytics strategy will require resources. This project will explore the benefits, opportunities, risks, requirements and roadblocks a business intelligence installation offers the University of Minnesota.en-USAcademic Analytics ProjectReport