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Today, financial services firms rely on data as the basis of their industry. In the absence of the means of production for physical goods, data is the raw material used to create value for and capture value from the market. Perhaps even more important than the size and availability of data, however, are the efficiency and effectiveness with which firms are able to scale Big Data across multiple use cases to drive opportunity—from a 360-degree view of the customer and product personalization to fraud detection using machine learning and next-best-offer models built on recommendation engines.

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