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
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.
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.
Interested in learning more?
Whether you’re looking for more information about our fast, in-memory database, or to discover our latest insights, case studies, video content and blogs and to help guide you into the future of data.