TurnB Approach


Shortlisting training channels:

  • Identified multiple channels through which training takes place and shortlisted key ones required for analysis based on contribution and region level presence.

Data Collection:

  • Training details of various channels were procured from their respective cubes/data sources.
  • Delivery region/country level details were collected for all channels.

Visualization:

  • The client should get a holistic view of the contribution of multiple channels across multiple geos across the globe.
  • Prominent regions/countries should be visually highlighted.
  • Created a heat map view to better convey the insights; prominent regions were highlighted using box and whisker plot algorithm.

Automation:

  • Generation of WW heat map involved a lot of manual work, and it was difficult to scale the execution based on client requirements.
  • Created an automated algorithm using python to generate the heat map based on input training numbers.
Approaches background
Infograph

Implications

  • Helped client in getting a holistic, easily consumable view on distribution of trainings through multiple channels across geos.
  • Enabled client to redesign their marketing, promotion and budgeting strategy tailor made to cater the specific demands of customers across the globe.