ThinkData Works Partners With Dun & Bradstreet to Improve Global Anti-Money Laundering Initiatives Through Data Enrichment

Major financial institutions are leveraging this partnership to reduce criminal activity with powerful new data assets

ThinkData Works a leading data catalog provider, has partnered with Dun & Bradstreet to provide new data enrichment solutions – enabling enterprise customers to uncover more value with data.

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“As more companies realize the value in combining internal and external data, as well as managing and sharing it more effectively, the applications become limitless”

The integration of Dun & Bradstreet’s global leadership in trusted data, along with ThinkData Works’ expertise in connecting, enriching, and cataloging diverse data assets, allows customers to now access dynamic enrichment solutions for more effective modeling and analysis to power business insights.

Data enrichment refers to the concept of combining multiple data sources to produce uniquely valuable data assets. The outcomes are particularly effective when external and internal data are combined. With its robust data catalog software, ThinkData Works delivers enriched data that enables data science teams to manipulate, analyze, and share with ease. The platform also allows users to index additional data assets from any source – adding further value for its customers.

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Dun & Bradstreet’s high quality data has been used by enterprise organizations for decades. This new addition to the ThinkData Works enrichment portfolio will strengthen new and existing data solutions for customers and partners.

Scotiabank is one of the first customers to take advantage of the enrichment solutions, with a focus on improving the outcomes of their anti-money laundering (AML) programs. The organization’s AML department is using the enhanced data assets to identify patterns in global trade to drive significant progress in fighting global organized crime.

Fighting global organized crime with data enrichment solutions is just one example of how modern data science can achieve business objectives. The greater significance lies in its power to advance an organization’s environmental, social, and governance (ESG) initiatives more broadly. “As more companies realize the value in combining internal and external data, as well as managing and sharing it more effectively, the applications become limitless,” said Bryan Smith, Co-founder and Chief Executive Officer of ThinkData Works. “We’re thrilled to be delivering a solution that’s helping to tackle issues like organized crime, human trafficking, climate change, and so much more.”

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