TurnB Approach


  • Created a single file by consolidating the individual training data reported by all partners in a week to a single file using an algorithm developed in python.
  • Identified net new trainings reported in the file and added these to already submitted trainings through last week to create the master consolidated file.
  • Listed down all the business rules related to incentive calculation such as type of training, course, the country where training is conducted, and special SOWs.
  • Devised an algorithm to calculate payout for reported trainings covering all these business rules.
  • Computed payout for all trainings reported by partners using devised logic.
  • Identified all the paid transactions from client’s internal data and calculated the already paid amount.
  • Estimated accruals by reducing already paid amount from the total computed payout.
Approaches background
Infograph

Implications

  • Monthly updated accrual files provided an accurate representation of the actual financial liabilities of client.
  • Partner, Country and Region level views of accruals catered to different stakeholders of client.
  • Accrual figures for scheduled trainings helped the finance team budget and forecast for related activities.