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 specializes in the predictive analytics solutions at information Builders, liaising with the Product, Marketing, Field Sales, and Customer Success teams and brings more than 20 years of experience in the building and deployment of advanced analytics applications for a variety of use cases and industries.