A global credit card service company operating in 140+ countries with an annual revenue exceeding 15.4 Billion USD faced financial statement inaccuracies due to improper account hierarchies. Managing hierarchies became challenging amid spin-offs, mergers, and acquisitions, leading to missing transactions and potential data breaches, causing financial losses.

They wanted to:

  • Identify CID validation parameters.
  • Collect spending activity data from client internal systems.
  • Formulate rules for CID status and client name identification.
  • Develop a Python script for automation.
  • Test results


The data validation process comprises four stages:

  • Data Source: Collect data from the SEC website, internal repositories, and previously extracted CID data.
  • Data Processing & Rules Application: Clean and process data, apply validation rules to individual CID records.
  • Data Generation: Generate CID status (“Active,” “Sunset,” or “Cancelled”), organization name, confidence score (0-100), and rationales.
  • Final Output: Format data, generate Excel sheets for analyst review.


Automation significantly reduced man-hours, validating data for 60% of major customers, contributing to a more efficient department and positively impacting the client’s annual revenue.

Learn more about TransOrg’s value proposition, solution methodology and implementation approach