On Demand Webinar

Accelerate Predictive Insights to Improve Student Success

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Event Description

A significant challenge facing many Institutional Research leaders is managing, aggregating, verifying, and transforming huge volumes of student and campus data to drive business decisions.

Predictive models can help identify important academic, financial, or operational trends but many predictive tools today are designed for the highly-skilled data scientist – and not for campus executives, faculty or non-technical campus operational staff.

Join us at this webinar to learn how predictive analytics and other business intelligence (BI) applications can foster real improvement and positive change in higher education. You'll hear best practices session and customer success stories, and see a predictive modeling demonstration.

You'll also see how to

  • Automate the delivery of key insights quickly
  • Empower a data-driven culture
  • Enables the entire campus with easy-to-understand visualizations and self-service analytics
  • Deploy advanced analytics that can be interacted with and consumed without technical support or training

We look forward to seeing you there.

Bruce Kolodziej
Bruce Kolodziej
Analytics Sales Manager,
Information Builders

Bruce is gespecialiseerd in de oplossingen voor predictive analytics bij Information Builders, in samenwerking met de teams Product, Marketing, Field Sales en Customer Success. Bruce heeft meer dan 20 jaar ervaring in het bouwen en inzetten van geavanceerde analytische applicaties voor verschillende gebruiksdoelen en industrieën.

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