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The typical financial services adoption cycle for Apache Hadoop usually begins with one of the two most prominent operational efficiency and cost reduction use cases: data consolidation and multi-tenancy or full-fidelity analytics and regulatory compliance with a centralized data hub. Unlike traditional data management and analytics platforms that are usually deployed as specialized systems with specific objectives, the central, open, and scalable nature of an enterprise data hub makes it more akin to a solutions engine for the financial services industry. By minimizing opportunity cost and emphasizing integration with a vast and growing ecosystem of relevant technologies and familiar applications, Cloudera is helping firms address their Big Data challenges today and maximize the option value of their data infrastructure for more advanced business objectives downstream:   Fraud detection and prevention Recommenders to personalize the customer experience 360-degree view for ad hoc exploration and advanced models