Instructions

Selecting the right business for your Data & Decision Analysis Final Project is critical. It is best to choose one for which you have passion or experience, but also one where you have a general understanding of the business decisions they are likely to face. As both the company you choose as well as the industry in which they operate will play a large role in shaping your overall project, this is a very important stage.

Overall, this project is designed to demonstrate critical thinking combining the concepts in the class readings with real-world data, which you will be responsible for collecting. You will also seek out and find the data you will analyze in your Data & Decision Analysis Final Project. Finding the right data and analyzing it appropriately is key to your project, so students should seek out publicly accessible sources so that your analysis is robust and based on real-world data. Students are encouraged to visit the Keleher Learning Commons and its digital resources for collecting data.

For this assignment, include the following:

A brief synopsis of the business and the industry
A brief description of the decision you are going analyze
A brief description of the data you located and how you intend to analyze it to make your decision

Keep in mind you are responsible for finding and securing the data needed make your decision. A few things will help with this, especially in this early stage:

Look for mid to large companies in industries with ample online documentation and available data.
Keep the decision you are looking to make simple. Decisions like “Which country should Tesla expand to?” or “Should Dunkin’ Donuts expand into health foods?” allow for more publicly accessible data to be collected, like international, government, and census data.

Guidelines

This component of the Data & Decision Analysis Final Project deliverables should be 400–500 words. Your paper should be formatted according to APA standards (double-spaced, Times New Roman,12-point font, 1-inch margins).
Students will also submit their data in an Excel file for review.
Refer to course syllabus for additional information about completing the case analyses and for the grading rubric.