How to Move Analytics to Real-Time

The growth of data has led to an increased impact on analytics, which is critical for delivering a successful digital business strategy. Companies are using more real-time analytics due to the pressure to speed up and improve business processes, particularly in digital businesses and the Internet of Things (IoT). A well-designed real-time system must process data quickly, considering technologies such as in-memory databases, parallel processing, efficient algorithms, and innovative data architectures. To ensure a proper investment return, the response time of analytics must align with the speed of the business decision, taking into account factors like value degradation and decision improvement. Additionally, automating decisions using algorithms requires a well-defined process to code against, as per Gartner's recommendations.

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