What is a Predictive Analytics Platform?

What a prediction has to include

A number on its own is not usable. A prediction needs three companions: the accuracy of the model that produced it, the drivers behind it, and the timing. Averisys Analytics reports all three, so a forecast can be acted on and defended.

Prediction, timing, and cause are different questions

Feature-importance models rank which factors drive the outcome. Gradient boosting and time-series models forecast the level and trend. Survival models estimate when an event is likely to occur. Structural models separate direct effects from indirect ones. Choosing the wrong family produces a confident answer to the wrong question, so the platform proposes the method and explains why.

Predictive modeling without writing code

The question is described in plain language. The platform proposes how each column maps to the analysis, asks for approval, runs the model, and writes the interpretation. Specialists keep oversight at the approval step without becoming the bottleneck for every request.

From forecast to decision

Every result includes a risk list, what-if scenarios that estimate the effect of each option, and a recommended action ranked by expected impact — with the reasoning stated in ordinary language.

Where it is applied

Customer churn and revenue, sales performance and turnover, workforce turnover and performance, fraud and revenue, and brand perception. A free trial is available without a credit card.

Frequently asked questions