Predictive Modeling / Machine Learning

Predicting customer behavior based on analyzing historical data is not an easy one. In Aduro, we have developed our expertise in using statistical techniques to predict future customer behavior in various domains such as insurance, customer relationship management and banking. Predictive modeling is a process used in predictive analytics to create a statistical model to give insights on how customers would react based on their earlier interactions.Using this information about the predictive outcome, businesses make decisions to meet organization goals. Predictive analytics as a whole is the area of data mining concerned with forecasting probabilities and trends.

A predictive model is made up of a number of predictors, which are variable factors that are likely to influence future behavior or results. In marketing, for example, a customer's gender, age, and purchase history might predict the likelihood of a future sale. Organizations have been keenly interested in this particular area in recent years. This gives you the power to discover hidden relationships in your volumes of structured and unstructured data and use those insights to confidently predict the outcome of future events and interactions. In Aduro, we specialize in using regression models, both parametric as well as non-parametric to help organization obtain insights to make their strategic decisions.