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.
A positive correlation was observed between the batch program and the utilization rate of trainings through the normal program.
The availability of more affordable training through batch programs increased their popularity among customers and learners.
This directly impacted the utilization rate of training offered through a normal program.
Helped client take the necessary measures to curtail the impact of batch pricing on the training utilization rate.