Collected required data
- Training data for batch and normal programs was collected from the POEs submitted by partners.
Performed EDA on collected data
- Performed an Exploratory Data Analysis on the collected training data.
- Identified trends, patterns, and anomalies that should be accounted for while performing the cause-and-effect study.
Done factor mapping and devised logic
- Brainstormed and listed down the key factors that could directly impact the correlation between batch pricing and utilization rate.
- Devised a logic to accurately determine the actual impact of the utilization rate driven by the batch pricing model.
Performed analysis and gained insights
- Performed analysis based on devised logic and derived critical insights that unraveled the correlation between utilization and batch pricing models.