Traditional vs. streaming analytics: The key differences

Channeling Streaming Data for Competitive Advantage

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What’s your plan to analyze data in real-time? With the speed of modern businesses, you can’t afford to be much slower than that.

You might want to explore streaming analytics, especially as IoT devices become more mainstream.

The difference is, in traditional analytics, data is stored and then analyzed. But with streaming data analytics, the models and algorithms are stored – and then the data is analyzed as it passes through.

Read this 13-page white paper for more details on streaming analytics, including how it can be used for:

  • Cybersecurity and preventing fraud
  • Predictive maintenance on machinery and potential failures
  • Customer experience and marketing, particularly personalization
  • And more
Vendor:
SAS
Posted:
19 Nov 2018
Published:
31 Dec 2017
Format:
PDF
Length:
13 Page(s)
Type:
White Paper
Language:
English
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