Many businesses are already taking advantage of real-time data. But the challenge today is that they are predominantly focusing on faster access to stored data, and thus not on taking faster action when data is created, and when opportunities arise. Many “streaming” technologies today must first store data and then rely on humans to gain insights via manual analysis and then respond in human time. A complementary approach that leverages stream processing engines will address business problems that need immediate, automated responses.

This paper covers:

• Leveraging stream processing technologies to respond in real-time for use cases like “right offer at the right time” (i.e., real-time offers) and transaction fraud detection.
• Using real-time data to drive better business outcomes via recommendations or reduced loss from fraud.
• How to better identify the real-time use cases that you can deploy to gain competitive advantage.

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