UPES MBA Business Analytics Semester 3 Solved Assignment 2025 – Fortuna Retail Ltd. Case Study – Integrated Assignment

Looking for UPES MBA Business Analytics Semester 3 Solved Assignment 2025? We provide complete, customized, and plagiarism-free solutions for the integrated assignment based on the Fortuna Retail Ltd. case study.

This assignment tests your understanding of data management, Python programming, AI applications, web analytics, and optimization modeling through a practical retail business scenario.

Assignment Submission Deadline: 30th December 2025

Total Marks: 100

About This Assignment

The UPES MBA Business Analytics Semester 3 Solved Assignment is designed for Semester 3 students specializing in Business Analytics. The integrated case study revolves around Fortuna Retail Ltd., a company with both physical stores and online presence facing challenges in data management, customer analytics, and inventory optimization.

As a consultant to Fortuna, you are required to analyze their data challenges and provide strategic recommendations using analytics tools and techniques.

Subjects Covered

This integrated assignment covers the following Business Analytics subjects:

• Data Environment & Management
• Programming for Business Analytics (Python)
• AI For Managers
• Social and Web Analytics
• Business Optimization

Each question is mapped to a specific subject, testing both theoretical knowledge and practical application skills.

MBA Business Analytics Semester III

Integrated Assignment

Case Scenario: Digital Evolution at Fortuna Retail Ltd.

Background:
Fortuna Retail Ltd., with both physical stores and a growing online presence, faces tough competition and evolving customer expectations. The management wants to transform the company by using data, modern technology, artificial intelligence, social/web insights, and optimization techniques to improve business outcomes, enhance customer experience, and streamline operations.

Your Task:

You are acting as a consultant hired by Fortuna. As a part of this mini-project, you will prepare a well-structured report addressing the following tasks, each aligned with a core subject.

Assignment Questions

Q1.

Task: Fortuna’s customer and sales records come from multiple sources (physical store POS, website, loyalty app), often in incompatible formats, leading to data duplication and confusion.

Question:
Explain, in simple terms, how you would organize and clean this data so that it becomes reliable and useful for the business. What steps or concepts (like data modeling or normalization) would you use, and why are they important?

Q2.

Task: The analytics team needs to combine and analyze sales data files stored as CSV and JSON formats. They want to group customers into “high spenders” and “regular buyers” for targeted offers.

Question:
Describe a basic workflow using Python (mention libraries and key steps) for reading the files, cleaning the data, and classifying customers into the two groups.

Q3.

Task: Fortuna wants to use AI to recommend products to customers online. Management is cautious about customer privacy and wants to avoid unfair or biased recommendations.

Question:
List the main things Fortuna should do to ensure the AI system is both effective and responsible. What are the steps to handle privacy and fairness concerns?

Q4.

Task: After launching a social media and online advertising campaign, the marketing team needs to measure which platform (Facebook, Instagram, Website) worked best and improve next campaigns.

Question:
Identify three clear measures (KPIs) the team should track to judge campaign success. Explain how using a visualization tool (like Excel/Tableau/Power BI/Python) can help the team understand and act on these KPIs.

Q5.

Task: Fortuna ran out of stock for popular items quickly after the last campaign and paid high costs to get urgent deliveries.

Question:
Describe, in simple terms, how Fortuna can use mathematical or computer models to predict future demand and plan stock levels better, so they avoid shortages or extra costs. What factors should be included in such a model?

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Students across India trust us for UPES MBA Business Analytics Semester 3 Solved Assignment 2025 because we deliver quality that scores well.

Our solutions are 100% original and plagiarism-free, written by subject matter experts with analytics background. We include Python code snippets, data workflow diagrams, and practical examples wherever required. Every answer follows UPES evaluation guidelines with proper structure and formatting.

Whether it’s explaining data normalization concepts, writing Python workflows, discussing AI ethics, identifying KPIs for campaign analysis, or building demand forecasting models, our solutions cover everything comprehensively.

What You Receive

When you order this assignment, you get customized answers specific to your questions, step-by-step Python code with explanations, clear diagrams and flowcharts where needed, proper formatting as per university standards, and timely delivery before your deadline.

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