Business
Challenge:

  • The client is a multinational corporation specializing in software, services, and productivity solutions.
  • They offer training for learners on their technologies through third-party organizations called partners at a discounted price.
  • While performing multiple analysis specific to trainings, TurnB identified a significant variation in duration of trainings provided by partners from standard training duration.
  • Client wanted to perform a deep dive analysis and provide actionable insights to reduce the ETA for training..

TurnB Approach


  • Data Gathering
    Gathered required information from multiple data sources.
  • Start Date and End Date of all trainings – Required information is gathered by consolidating the training related info submitted by partners.
  • List of courses available in the program and their respective standard duration.

Logic Creation

  • Brainstormed and flagged down multiple scenarios to be considered while calculation of training duration – holidays, weekends etc.
  • The standard duration varies across courses – After analyzing the data, devised a weighted average method to calculate the average increase in training duration from standard time.

Analysis and Insights

  • Analyzed the results and identified multiple key insights critical to the reason for increased training duration.
  • Sliced and diced the results at partner, region and course level and identified unique patterns and behaviors key to increased training duration.
Approaches background
Infograph

Implications

  • Region level, partner level and course level view on average training duration provided actionable insights to client to work on.
  • Measures were implemented by the sales team and account managers in specific regions where duration is the highest.

 

Resulted in a 20% reduction in overall training duration.


 

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