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Analytics Conference: Applied Predictive Modeling for Diverse Data Sources
The theme of Benedictine University’s inaugural Analytics Conference is applied modeling for diverse data sources. In this conference, practitioners and academics offer insights on understanding the various data sources and their applications. Sessions include panel discussions of developing practical predictive models for each of the data sources. Professionals share their insights on the development of their models and data manipulation. Academics present cutting-edge research offering insights on the generated data.
Benefits of Attending:
Established data scientists and analysts who are interested in learning about various data sources and how their peers are embracing the data. The conference divides the break-out sessions into types of data today’s analysts encounter. Panelists will discuss the challenges of obtaining the data, cleaning the data and using the data to make informed decisions. With the avalanche of data, practitioners are developing meaningful ways to analyze the data to generate either reduced costs or increased revenues.