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Accelerate Insight and Impact Using Big Data Graph Analytics

The ability to capture and mine massive data stores—both structured and unstructured—is changing business models and accelerating the pace of discovery for research and industry. Current analytic technologies only begin to tap the insight latent in Big Data. New sources of data (including some previously discarded, such as log files) are now affordably captured, offering a wealth of new opportunities for data-driven impact. Examples range from deeply understanding and servicing an individual customer’s preferences, to spotting subtle patterns that indicate serious fraud and security risks, to uncovering critical operational trends and preempting anomalies that improve service quality and efficiency, to uncovering previously unseen relationships between data and trends in scientific analyses.

The ability to capture and mine massive data stores—both structured and unstructured—is changing business models and accelerating the pace of discovery for research and industry. Current analytic technologies only begin to tap the insight latent in Big Data. New sources of data (including some previously discarded, such as log files) are now affordably captured, offering a wealth of new opportunities for data-driven impact. Examples range from deeply understanding and servicing an individual customer’s preferences, to spotting subtle patterns that indicate serious fraud and security risks, to uncovering critical operational trends and preempting anomalies that improve service quality and efficiency, to uncovering previously unseen relationships between data and trends in scientific analyses.

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