Why Prescriptive Analytics Is the Future of Big Data

Dr Mark van Rijmenam, CSP
5 min readJul 8, 2019

Big Data has ushered in an era of data analytics that is taking different forms, including prescriptive analytics. This type of business analytics helps you find the best approach for a specific circumstance. It is also considered the third or final part of business analytics, which also encompasses descriptive analytics and predictive analytics. Prescriptive analytics leverages predictive analytics and descriptive analytics to derive ideal outcomes or solutions from helping you solve business problems, and it is driving the future of Big Data. Here’s how:

Differences Between Prescriptive Analytics and Predictive Analytics

Raw data is plentiful in today’s digital age. Approximately 90 per cent of today’s online data represents a compilation of data that was generated in only a few years, and it is projected to grow rapidly. Consumers send billions of messages via instant messaging apps and social networking sites, such as Facebook and Twitter, and generate upwards of six billion on Google every day via their mobile devices and desktops. However, this raw data does not create value on its own. It must be processed in a way that delivers valuable insight to your enterprise for it to be resourceful. With raw data, you can identify patterns, build models based on these patterns and other…

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Dr Mark van Rijmenam, CSP
Dr Mark van Rijmenam, CSP

Written by Dr Mark van Rijmenam, CSP

Innovation Keynote Speaker (CSP) & Strategic Futurist for Fortune 500 | Talk to my Digital Twin via text, audio or video in 28 languages!

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