Transform data quality checks

Intelligent reconciliation between unstructured & structured data.


90% reduction in manual work.

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99.9% Data accuracy to improve compliance.

1 FTE Equivalent savings

Business Challenge

Data quality check is a common process in the asset management industry. Operations team wished to automate the repetitive and error-prone manual process of reviewing and correcting hundreds of data points in their referential.

  • Unstructured documents up to 700 pages.
  • Large quantity of information to be extracted (around 90 data points).
  • Not always easy to interpret the text.
  • Error-prone manual process.

Fortia solution

Customer successfully transformed data quality check process by utilizing 2OS automation capabilities, power by Artificial Intelligence, in n particular:

  • Machine Learning models, to classify and extract data from prospectus, KIID. Each manual intervention improves the completeness and confidence of 2OS machine learning models, which makes the Robot smarter and more accurate.
  • Intelligence Data Reconciliation capability allows customer’s to focus only on true positive, as the number of false positive is very low.
  • Governance, analytics and orchestration in real time on single platform lets customer ensure maximum control, auditability and predictability of
  • automation by centralizing analytics, control and orchestration.