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 is a member of the Corporate Sales Team and works with the Product Division, Corporate Marketing and Field Sales to promote Information Builder’s Predictive Analytics solution, and brings more than 20 years of experience in a variety of Analytics and Sales roles.