Case Study and Mu Sigma
Case Study and Mu Sigma.
Instructions for solving the case study Thank you for your interest in Mu Sigma. Congratulations on being selected for the next round of your interview process. During this round, you will be required to solve a case study. ? ? ? ? ? ? ? ? ? ? Please read the case study thoroughly. This is an illustrative business case – an example of a business problem you will be expected to help our clients solve while at Mu Sigma. You have 2 days (48 hours) to solve the case study. Please send your final presentation to victor. [email protected] com Please do not contact anyone in Mu Sigma (including the email ID above) about this case study. Candidates who are found guilty of doing so will be disqualified from the process. You are free to use any publicly available sources of information (Google, Financial Reports, Case Studies etc. ) Feel free to make any assumptions that are required. But please call out the assumptions clearly. Present your solution in the form of a short power point deck (at most 9-10 slides).
The deck will be assessed on various metrics including thoroughness of research, methodology, attention to detail, quality of presentation and innovativeness. Shortlisted candidates will be called for an in person interview. You are free to make any further changes to the presentation until the day of the final presentation. Good luck!! Project Brief The company is telecommunications provider in Europe and Latin America. Operating globally, it is the third largest provider in the world. One of its subsidiaries has a subscriber base 1. M out of which 70% of the base is Prepaid. The annual churn rate for the Prepay base is around 30%. It has been losing its high value customers as part of churners leading to reduction in overall revenue. YoY there has been a 10% drop in the ARPU. Presently there are five existing segment schemes to bucket subscribers along dimensions such as tenure, usage etc. It wants to identify: 1) Factors affecting churn 2) Effect of churn on revenue 3) Impact of segment profile on churn mitigation