BCG X Strategy Consulting Job Simulation: Use data to advise the client, PowerCo, on how to retain their customers with the team at BCG X.
- Gained an understanding of the business context.
- Created a work plan to test the hypothesis regarding whether customer churn is driven by price sensitivity.
- Shared the plan including the required data with supervisor and stakeholders via email.
- Conducted data cleaning for the analysis.
- Examined data types, statistics, specific parameters, and variable distributions to enhance understanding of the dataset.
- Defined price sensitivity and verified the hypothesis of its correlation with churn.
- Presented key findings and suggestions for data augmentation through a presentation.
- Engineered features to improve predictive power.
- Developed predictive models to forecast customer churn using the dataset with cleaned and engineered features.
- Presented insights to stakeholders.
- Designed controlled experiments (A/B tests) to assess the real-time impact of different discount strategies on net revenue.
- Presented an executive summary of key findings to the supervisor.
- Delivered a quick update on the project progress to the client and demonstrated the impact of the predictive model.
- Recommended future work plan for optimizing net revenue based on discount levels and offered fraction.
- This project simulates a complete data workflow: Plan, Analyze, Construct, Execute (PACE), providing stakeholders with recommendations, tools, and models to drive critical business decisions.
- Keywords: data cleaning, data management, EDA, statistical inferences, feature engineering, predictive models, machine learning, tree-based models, presentation, data visualization, hypothesis testing, communication.
Completion Certificate: Certificate