I Can See Clearly Now: Gaining Insight into Academic Processes through Analytics

Thursday, October 02 | 9:00AM–9:50AM | Meeting Room W308C/D
Session Type: Professional Development

As consumers, we are familiar with killer apps that yield powerful results through automation and analytics. How can similar results be realized in higher education? In this session, we will highlight three university case studies where data mining of an automated process has resulted in better visibility and yielded new insights and opportunities.


OUTCOMES: Identify consumer apps with embedded analytics that have transformed how we work and play * Consider three case studies that involve the automation of core academic processes and the resulting application of data-mining techniques and analytics * Brainstorm academic processes that are candidates for future automation and the opportunities that might exist for applying analytics to the resulting data sets

Presenters

  • Susan Lukose

    Senior Technical Architect, University of Mississippi
  • Christopher Reichley

    Director of Application Development and Integration, University of Mississippi

Resources & Downloads