Predict client behaviour, increase process efficiency, optimise maintenance
Predictive analytics uses statistical techniques, such as predictive modelling, machine learning or data mining, to forecast future and unknown events.
Predictive analytics is able to anticipate which of your clients will leave or purchase a particular product. Credit models predict which customers will stop paying instalments or how much money you can safely lend them. CLV models measure potential client income up to five years ahead. Analytics can improve recruitment methods and estimate machine failure rates.
The Deloitte Advanced Analytics Team offers the following predictive analytics solutions
Do you know that predictive analytics links data and advanced quantitative analyses in order to use facts to support the business in making decisions? In the past, it was called statistics, data mining, operations research, predictive modelling, later machine learning. Nowadays it is most commonly referred to as data science.