Join Spotfire & the Data Analytics Foundation
Wednesday, October 30th, 10am-1pm
Hilton Cincinnati Netherland Plaza
35 W. 5th St., Cincinnati, OH 45202
Jeffrey D. Camm, Head of Operations, Business Analytics and Information Systems, Founding Director of the Center for Business Analytics, Fellow, University of Cincinnati
Franz Dill, Advanced Analytics Practice Lead, Data Anaytics Foundation
Mike Fry, Associate Professor and Linder Research Fellow, Department of Operations, Business Analytics and Information Systems, University of Cincinnati
Register Today - Space is Limited!
This seminar takes a unique perspective to analytics and Big Data. It introduces the full cycle of how analytics can simply and effectively be introduced into business process. This method not only includes decisions and data, it allows for the integration of analytics into the decision process itself. Integration can vary from installation into an App used by employees, inclusion in a mobile device, or used as a template for strategic action. We will describe this approach, and provide a number of real examples of its use.
Examples at the talk will be drawn from supply chain, retail, marketing, financial services, energy awareness, manufacturing and executive information delivery.
We overview the use of analytics like this, to integrate the improvement of analytics and its use in decision making cycle:
Analytics experts from academia and industry will present and describe this method in the form of a number of real examples developed by the presenters. Several of these real-life analytics solutions resulted in many millions of dollars in savings and improvements for their organizations. Emphasis will be made on simple and active solutions to complex problems. The analytics techniques used in these projects range from simple data visualization approaches to complex predictive and prescriptive models.
Where Do You Go From Here?
You will be given an overview of how to apply business analytics: First identify problems and the processes and data required to address them. Start with a small group of people who know or can easily gather data about key business problems that need to be improved, the methods being used to drive them today, and the data and resources that make them work. Start with the simplest examples that have the potential to produce the greatest value. Build simple test models and see how they work in context.