Financial Services

Finding Actionable Signals in the Noise of Customer Interactions, Transactions, and Risks

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Conquer Risk and Regulation With Big Data 

Banks and financial firms are part of one of the most scrutinized industries in the world. A fluctuating global economy, technology advances and rising customer expectations have spawned new risks and regulations—and along with them, new opportunities. Navigating these complexities can be tough, but your compliance and brand reputation are on the line.

You need a robust data solution and a trusted partner like Clarity. We’ve worked with many of the world’s largest banks and financial firms, and we know the specific issues you face every day. Our data analytics expertise, combined with tools such as predictive modeling and machine learning, will help your teams spot and prevent fraudulent activity, ease compliance and reporting, engage with and grow your customer base, and optimize your marketing efforts.

 

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What We Do

customer engagement big data cloud financial servies machine learning data management business analytics financial services
Customer Engagement
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Regulatory Compliance
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marketing analytics big data cloud machine learning algorithm
Omni-Channel Marketing Analytics
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fraud risk big data financial services machine learning algorithm
Fraud and Risk Analytics
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Machine learning is a great enabler not only in serving customers, but also protecting customers’ information and assets. But, security is an agile process that requires rapid adaptation. Every time we make a move to improve our ability to detect and stop fraud, the fraudsters make a counter move to try to attack from a different angle or entry point.  We must continually monitor the entire operation to look for anomalies and break points.  

Olaf Larson

Partner