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Big Data Analytics for Financial Services

Financial services firms are turning to big data technologies and Hadoop to improve their customer intelligence, maintain regulatory compliance, reduce fraud and more precisely target their marketing campaigns. Datameer helps companies such as Citi and Visa analyze their big data to find new insights that drive higher business performance.

Understand Your Customers Better

Analyzing customer interaction data from various sources such as transactions, CRM and the website helps financial services companies truly understand the customer’s journey. With big data analytics, you can answer questions like which campaigns convert prospects to customers, how do I get customer to use products more, and what behavior predicts churn.

Maintaining Regulatory Compliance

Regulatory compliance mandates continue to evolve – and most involve the aggregation, analysis, and reporting of massive diverse data sets that span business lines. Responding to the latest regulatory mandate is now easy with Datameer’s architecture, which balances the needs for rapid self-service analytics with enterprise grade governance, access controls, and automation capabilities.

Identifying and Eliminating Fraud

Combining and analyzing large volumes of data like transactions, geo-location, merchant information and more helps financial services companies identify anomalies and behavior patterns that signal potential fraud. With these insights, you can dramatically reduce the risk of fraud and tighten security.

Managing Risk and Operating Efficiently

Operational risk mitigation is near the top of every bank’s operating agenda. With your employees and your business operating at a greater pace and level of complexity than ever, it is critical to monitor and report on employee behaviors, key operational process performance and other KPIs to ensure you mitigate risk.

eBook: Fraud & Compliance with Big Data Analytics

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eBook: Top 3 Big Data Use Cases
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