A quick history of predictive analytics

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Analysing the past and present to take an educated guess at the future isn’t a complicated idea. In a way, it’s something that people have been doing for hundreds of years. Nowadays, when we talk about predictive analytics, it’s often in the context of retail - an area in which it’s consistently changing the game.

The reason predictive analytic france phone number list is such an advantage to this industry is that it empowers retailers to make strategic decisions based on data-driven insight, transforming the way they operate in every area - from day-to-day operations to customer relations. Humans are creatures of habit, and this technology makes those habits easier to track. What’s more, because of how it’s constantly evolving, we have no idea just how many new ways to use predictive analytics are emerging every day.

Here is a little history and a few examples of predictive analytics, followed by a closer look at exactly how big a part they play in the modern retail landscape.



Believe it or not, predictive analytics as we know it, has been around and in use from as early as the 1940s, appearing with the advent of the early computers. Prior to this, early forms of predictive analytics (long before the computer was invented) were used to help voyagers at sea and farmers in their fields, and modern technology has rapidly taken the concept from strength to strength.