Using Data to Better Understand Customers for the Indianapolis International Airport

Abi Minton Ball State University, Zac Calhoun Ball State University
Faculty Sponsor(s): Fred Kitchens Ball State University
Information and data have changed the way business operates. Companies are focusing on better ways to use data to increase revenue, productivity, and efficiency. Many companies have collected data which they are not analyzing, and may not fully understand how much valuable information lies hidden in their data. The Indianapolis International Airport (IND) makes decisions based on data and analytics. Recently, the use of big data and business analytics has become tremendously valuable because of the value it adds to a business. The ultimate goal of business analytics is to transform large sets of data into information that helps a business make better decisions. Similar to other organizations, the airport has an abundance of data which is not being used to its full potential. This project addresses the airport’s current issue: how to use data to respond quickly to changing customer demands. Currently, the airport does not have an automated process to identify new flight routes for its customers. This project followed the Systems Development Lifecycle (SDLC) using the waterfall approach to identify a set of feasible software to solve the airport’s problem. The optimal software for the airport was found using a Multiple-Criteria Decision Analysis (MCDA). This solution will help the Indianapolis International Airport better understand customer behavior and quickly respond by adding new routes.
Business & Economics
Oral Presentation

When & Where

10:45 AM
Jordan Hall 174