Webinar screen shot

Increasing Your Institution's Analytics Quotient (AQ)

Data is everywhere: student records in a database, survey data from an end-of-course evaluation or social media data on the university's Facebook page. Despite a plethora of data however, higher education institutions are operating with blind spots, unable to gain the deep insight necessary to predict which students are at risk of leaving or where to focus their recruitment efforts. By increasing their institution's AQ with IBM SPSS predictive analytics, higher education administrators can employ data-driven strategies to act smarter: improving student retention, better targeting recruitment efforts and increasing operational efficiency, for example.

View NowView this recorded webinar now, to hear IBM explain how to:

  • Understand what your AQ is and how you compare against your peers
  • Increase your AQ with a tangible roadmap, including positioning buy-in from key decision makers
  • Discover what specific analytical techniques will be most impactful to your role/department/university-wide initiative

Presented by: Marygrace Bateman, market manager, predictive analytics solutions marketing, IBM

Moderated by: Linda Briggs, contributing editor, Campus Technology

Original webinar air date: 6th March, 2013

Duration: 1 hour

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