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Banking and Capital Markets

Understand Clients. Manage Risk.

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Identify, Assess and Monitor Risk

Kingland helps clients identify new opportunities across complex global hierarchies and identify emerging risks about customers. Operations and technology teams can efficiently manage data connections, hierarchies and data quality, extracting and analyzing data from any source. Fine-tuned for the financial industry, the platform removes time-consuming burdens of data management and errors from manual ad-hoc processes. 

Backed by nearly 30 years of solving complex risk and data management challenges for the financial industry, Kingland brings unique and deep experiences to enterprise-sized data challenges.  



Reliably and consistently solve complex enterprise data challenges

Data Management 

Leverage secure and diverse amounts of data to create new opportunities and enhance the customer experience. 

Risk Management

Collect and analyze real-time insights and early warnings by connecting external, unstructured data with risk analysis regarding corporate entities, individuals or portfolios. 

Client Data

Integrate client data sources for managing relationships, enabling individuals to quickly retrieve structured and unstructured data and multiple types of data (e.g., legal entity, securities, hierarchies,natural persons, and more). 





"We have 27,000 securities on the base with 5 million data points and we have a confidence rate of over 99%. That's really important because [it's critical] the dealers know information they're using to sell product to their client is accurate."

Managing Director
Financial Services

Ready to accelerate your data project?

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More Information 

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Improving Risk Management with Text Analytics

See how the Kingland Text Analytics Platform suite can augment and streamline Risk Management and Monitoring process within your organization.

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DTCC uses Text Analytics to Reduce Data Mining from Files in SEC's EDGAR System

Text Analytics Delivers Results for DTCC

DTCC, a U.S. financial services firm, used artificial intelligence to remove the manual data entry in its central repository of mutual fund data and operations rules which house approximately 27,000 securities and more than 5 million data points. The result: a significant reduction in the time it takes to process and update the mining of data from prospectuses and other documents filed in the SEC's EDGAR system.  

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Pulling Important Details from the Charles Schwab Announcement

The Mergers & Acquisition market is beyond heating up in 2019 with the most recent announcement from Charles Schwab and TD Ameritrade. The $26 billion all-stock deal will merge the two biggest publicly traded discount brokers with more than $5 trillion in client assets and more than 24 million clients.

Yesterday's merger is far from unique.  

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