Business Analytics Commons^™

Reinforcement Learning Approaches For Intelligent Budget Management: A Comparison Of Traditional Budget Model With Q-Learning, And Deep Q-Network Models, Danish Yaqub

Create@State

This study explores the application of Reinforcement Learning (RL) techniques to improve personal budget management and financial decision-making. A traditional rule-based budgeting model is first developed as a baseline approach, where income is allocated to expenses, savings, and debt payments using fixed financial ratios and predefined rules. Although this approach provides a structured framework for financial planning, it lacks adaptability and cannot dynamically optimize decisions when financial conditions change.To address these limitations, two reinforcement learning models—Q-Learning and Deep Q-Network (DQN) are implemented and compared with the traditional budgeting model. In the Q-Learning model, an agent interacts with simulated financial states …

Kroger Post-Pandemic Customer Segmentation, Mario Mata, Joey Truitt, Renn Spigelmyer, Dhanuja Kasturiratna, Lisa Holden, Nitish Baidya, Hanna Tafari

Posters-at-the-Capitol

The grocery retail industry landscape has changed greatly in the wake of the pandemic. Specifically, delivery and pickup services have become more popular and customer buying habits have evolved. At the same time, improvements in data collection and analysis have allowed grocery marketing strategies to become highly individualized.

We worked with 84.51, an analytics firm, to identify customer segments for the Kroger Company based on data from 2023. Using clustering techniques, we organized customers into groups, or segments, based on similar characteristics. We identified and profiled four distinct groups of customers. Three segments were characterized by high frequency and spending …

The Impact Of “Unchicken” Announcement On The Market Valuations Of Tyson Foods, Inc. And Beyond Meat, Inc., Samuel Noe, Naveen Musunuru

Scholars Week

Tyson Foods, Inc., the second largest processor and marketer of chicken, beef, and pork, has recently entered the plant-based chicken market with the unveiling of the “Unchicken” sandwich. Beyond Meat, Inc., a company that specializes in plant-based alternatives for consumers, is a direct competitor. On October 15, 2020 Tyson Foods, Inc., announced this new product for the company. This is an event study looking at the market effects on both Tyson Foods, Inc., and Beyond Meat, Inc. This study bases its’ findings on abnormal valuation.

Public Policy Origins Of U.S. Data, Bert Chapman

Libraries Faculty and Staff Presentations

Provides detailed introduction and overview of public policy origins of U.S. data. Shows how congressional legislation and Office of Management and Budget documents influence compilation and dissemination of U.S. Government data. Stresses how Indiana General Assembly requirements influence compilation of Indiana state agency data and Indiana local government agency data. Places emphasis on roles played in data compilation and dissemination by public policy research institutions/think tanks. Concludes by stressing limitations of data collection by governmental and non-governmental entities.

Super Bang For The Super Buck: An Economic Analysis Of Super Bowl Advertisements, Marissa Pownall

Business and Economics Presentations

Advertising has played an important role in television and has been widely used by a variety of different businesses to help increase their brand awareness as well as promoting their products. Specifically in the Super Bowl, established brands use this opportunity to reinforce themselves in the market. The average price of a 30-second Super Bowl Ad in 2020 was $5.6 million. This brings into question: What is the economic impact of Super Bowl advertisements on a company's revenue?

A Longitudinal Analysis On The Cyclical Pattern Of The Us Airline Industry, Michelle Bennett

Discovery Day - Prescott

The Airline Quality Rating (AQR) is the nation’s most comprehensive study of airline performance and quality for over two decades. The AQR sets the industry standard, providing consumers and industry watchers a way to compare performance quality among different US airlines using objective performance-based data (Bowen and Headley, 2014). The quantitative weighted average is computed monthly for every airline and divided by the sum of the weight to create the index. Criteria weighted in this formula include baggage handling, customer complaints, denied boarding and on time arrivals. This research employs the application of a longitudinal analysis methodology resulting in finding …