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Improving decision accuracy of an anti money laundering solution

Improving decision accuracy of an anti money laundering solution

The success of any Anti-Money Laundering Solution depends directly on the degree of decision accuracy achieved. The reduction of data defects becomes more complex with scale and geographical spread.

One of the Fortune 50 banks spread across 124 countries worked with Maveric’s versatile data tech team to run a large AML solution across 4 hubs (APAC, EMEA, NAM, LATAM).

Read how Maveric forged a solution by maximizing its two decades of domain expertise to successfully execute this data regulation compliance project with significant decision accuracy.

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Large scale integration and validation of customer data for CCPA compliance

Large scale integration and validation of customer data for CCPA compliance

Implementing Consumer Privacy Act Compliance implies stepping into the deep end of complexity as it means integrating data across multiple sources and fields. There is a conscious focus on completion speed and non-negotiable highest standards of accuracy across all data flow touchpoints.

One of the largest global banks relied on Maveric’s data tech team to successfully carry out a large scale integration and validation of Customer data for CCPA compliance across its 7 million in-scope customers.

Read how we solved the complex challenge by leveraging our domain model enabled data & API validation to execute the project well inside of the agreed delivery timelines.

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Reducing data defects in KYC portfolio migration program

Reducing data defects in KYC portfolio migration program

A Know-Your-Customer (KYC) Portfolio Migration implementation is considered profitable only when data accuracy levels are high and the banks invest optimal sums on QA testing.

One of the largest banks in US partnered with Maveric’s data tech team to run a KYC migration program.

Read on how Maveric with its deep domain expertise was able to demonstrate innovation capabilities in large volume complex environments and achieved 100% volume coverage as every field in every record in every file was validated.

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