Definition of Real-time analytics

What does is it mean and how is it used

What is Real-time analytics

Real-time analytics refer to analytics that are able to be accessed as they come into a system – rather than having to wait for them to be processed. When used for data analytics this means identifying data patterns that provide meaning to a business in the here and now.

Why use Real-time Analytics?

When a data scientist is trying to beat back the competition by intelligently using data analytics, the ability to do this in real (or near real) time is invaluable. It makes it easy to make predictive and well-informed decisions on everything from pricing to efficiency when you need it most.

Latest Real-time analytics Insights

How to Choose the Right Tech to Turn Your Big Data and Cloud Strategy into Big Wins

In today’s world it is vital to invest in tech. Two areas are particularly important to take advantage of: real-time analysis of big data and being flexible on your platforms.

How to choose the right tech >

Making predictive analytics predictively valuable

To unlock the underlying value of modern businesses it is crutial to harness the benefits of predictive analytics. Exasol was present at the Tableau Conference Europe to show how the underlying value of data can be unlocked.

Read more on predictive analytics >

Real-time BI Use Case

Interact with your data in an innovative and dynamic way. The most powerful data platform will revolutionize the way you are working with data.

Read more on Real-time BI >

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