According to Forrester, "SAS Event Stream Processing is a relatively new offering, but with stellar low-latency analytics capabilities. In addition to the common streaming analytics features, SAS Event Stream Processing is integrated with many continuous machine learning algorithms. It is also the real-time backbone of numerous SAS business solutions including SAS Customer Intelligence, SAS Fraud Framework, SAS Decision Management, SAS Risk Management, SAS Asset Performance Analytics and others. SAS can continue to differentiate in streaming analytics by integrating its vast library of advanced analytics in Event Stream Processing."
SAS Event Stream Processing quickly ingests and analyzes millions of data events per second so a user can understand what's happening while data is still moving. Adapters and connectors read incoming data, and a visual interface makes it easy for users to see patterns and take action.
"When latency matters, streaming is an important capability that enables a user to take meaningful actions – maybe even automated actions to capture value on the fly," said Michele Null, Global Marketing Leader of the IoT Practice at SAS. "IoT data is perishable, and split-second decisions are required to extract value while the data is still fresh and relevant. That's where SAS Event Stream Processing shines."
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