Case Study
A leading global financial intelligence organization faced mounting pressure to ensure the accuracy, reliability, and audit readiness of operational datasets across a complex ecosystem of systems, regulatory frameworks, and multilingual customer interactions.
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A global financial intelligence organization struggled with inconsistent, fragmented data across multiple systems. This created:
At the same time, growing demands for risk modeling, fraud detection, and compliance required cleaner, faster, and more reliable data.
SEBPO implemented an integrated data operations model that combined:
The focus: clean data at the source, validate continuously, and enable faster downstream insights.
Data Quality & Accuracy: Significantly improved the reliability of risk analysis, compliance reporting, and financial intelligence workflows
Productivity & Speed: Enabled faster processing of high-volume risk data without compromising quality with 47.68 RiskIDs reviewed per hour versus a target of 18, and 2.5 times faster than expected while maintaining strict quality standards
Multilingual Data Performance: Ensured accurate interpretation of global, multilingual datasets with 98.60% English content and 99.85% local language quality
Reporting & Intelligence Gains: Reduced time spent fixing data issues while improving access to trusted insights and establishing more reliable inputs for risk models, fraud detection, and forecasting
With SEBPO, the client transformed data from a liability into a strategic asset:
“Over the past few months the Data Strategy team has worked to ingest the complete collection of data, adding 986,416 records to the databse. A month ago it was shared that our client was very interested in this data and the SEBPO Team mobilized with a big push to get everything searchable. They completed this goal 2 weeks ahead of schedule. Huge thanks to the team!”
– Global Financial Intelligence Firm
