created a plan for data processing and identified potential limitations and regulations associated with each step of the data processing plan. In Module Six, students will select tools to use for data analysis for the RfG project. Students will determine which methods, tools, and strategies to implement given the available data resources. Keeping in mind the foundational business processes, students will anticipate adjustments that may be necessary to analyze the data in an efficient and relevant manner.

The Scenario: Running for Glory (RfG) is a one-site running-centric fitness store in Seattle, WA. Seattle has been a center of running enthusiasts for over 40 years, with many stores catering to a wide variety of customers. However, in the past 20 years, most of the stores have expanded to include other sports and have lost their focus on the running trade. Running for Glory has stayed true to its running history and has developed an extremely loyal, almost fanatical customer base. However, the company has not kept abreast of the advances in technology, so it does not know much about its customers other than what its cash registers tell. It can produce basic sales data from its cash register systems, and it can manage inventory records with the help of its suppliers, but RfG cannot analyze trends in customer demographics, develop strategic plans for expansion, or engage in serious discussion with its suppliers concerning the viability of sourcing new products or eliminating any existing ones.

One of the Running for Glory partners is convinced that the company should expand to the farther suburbs, where many younger people are locating. This partner believes that RfG’s future lies in attracting new, younger customers in these farther suburbs, but without any demographic data, the four partners have only their instincts to use in making any decisions.

RfG management, including executive partners, has decided to hire a consulting company to analyze the company’s situation and develop a report. You have been selected as a consultant for this project.


Produce a 1–2-page detailed plan explaining how you will present your data analysis to the client. Address the following questions in your plan:

  • How will you summarize the tools, methods, and strategies you used for the analysis?
  • How will you address the specific audience the client represents? Describe the audience and how you will address the members.
  • What data types and sources are important for the client to understand?
  • What specific processed/analyzed results will you use in your recommendation? How will you present these?

 Requirements of Submission: Double spacing, 12-point Times New Roman font, one-inch margins, and discipline-appropriate citations. Page length requirements: 1–2 pages.

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