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Jill England is the Business Intelligence Director at, Five-Tails a large manufacturer and distributor of upscale pet products. Five-Tails sells directly to department and pet product specialty stores, who then sell the products to consumers. While at, Five-Tails Jill and her staff have implemented an enterprise data warehouse, an effective reporting system, dashboards, and several analytical applications.
Over the last two years, Jill has seen the hiring of people with advanced analytical skills (e.g. data scientists) into the various business units. For example, marketing hired a person with a Ph.D. in statistics to develop forecasting models and is in the process of hiring another person with advanced skills to do social media analytics. Finance hired a Ph.D. in econometrics to develop corporate forecasting models. The managers in these business units are very pleased with the results they are getting from the use of advanced analytics.
Jill sees great value in bringing these people and skills into Five-Tails but is concerned that there is a need for some structure around them and their work. For example, one of them is using SAS Enterprise Miner, another one R, and a third an open-source data mining product. She knows that one product won’t meet everyone’s needs, but does everyone need a different product? The money isn’t coming out of her budget, but still …. However, she is being impacted by their needs for data. One of chewing up considerable CPU time in the warehouse and another is always requesting downloads, sometimes for data that is not easily supplied. And surely, there must be some best practices that can be shared.
Jill needs advice on how to proceed.
Do you agree that Jill should try to better coordinate the use of advanced analytics in Five-Tails?
If “yes,” how should she proceed? Is she the right person to start the conversation? Who should she have the conversation with?
What are some of the various ways that analytics might be better coordinated from a strategic perspective? Which approach do you recommend for Five-Tails?
What opposition might occur from the business units and how might she respond?

 

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

Step 1: Understand the Assignment Prompt

• Read the post carefully. Identify the main problem Jill is facing: coordination of advanced analytics.

• Highlight key questions: Should Jill coordinate analytics? How? Who to involve? What challenges exist?

Step 2: Brainstorm Ideas

• Make a quick list of all potential solutions, stakeholders, and obstacles.

• Consider Jill’s perspective (BI Director), the business units’ needs, and technological considerations.

Step 3: Develop a Thesis or Main Argument

• Decide your position: e.g., “Yes, Jill should coordinate advanced analytics for efficiency and consistency.”

• Outline why this matters: cost efficiency, data governance, sharing best practices, reducing conflicts.

Step 4: Structure Your Paper

1. Introduction

   • Introduce Jill, Five-Tails, and the context.

   • End with your thesis statement.

2. Background/Context

   • Explain current analytics setup, tools in use, and hiring of skilled analysts.

   • Discuss challenges Jill is facing: inconsistent tools, heavy data requests, CPU load.

3. Analysis/Discussion

   • Address the main questions step-by-step:

     • Should Jill coordinate? Provide reasoning.

     • How should she proceed? Outline actionable steps: organize a meeting with business unit leads, set analytics standards, propose a shared toolkit or governance model.

     • Strategic coordination approaches: centralized vs. decentralized analytics, centers of excellence, standardizing tools, training programs. Recommend the approach suitable for Five-Tails.

     • Potential opposition: business units may resist standardization. Suggest how Jill could address concerns diplomatically.

4. Conclusion

   • Summarize key points.

   • Reinforce the recommended approach and benefits to the company.

Step 5: Write with a Clear, Professional Tone

• Use headings and subheadings to organize your thoughts.

• Use examples from the post to support your analysis.

• Keep sentences concise and clear.

Step 6: Add References/Resources

• Include at least 3–5 credible sources to strengthen your paper. Suggested resources:

  • Harvard Business Review – Building a Data-Driven Organization

  • Gartner – Data & Analytics Strategy

  • MIT Sloan – Coordinating Data Science Teams

  • Forbes – Analytics Centers of Excellence

Step 7: Review and Edit

• Check for clarity, grammar, and logical flow.

• Ensure each part of the paper answers one of the assignment questions.

• Double-check that your argument supports your thesis throughout.

 

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