Predictive Modeling

Predictive modeling analyzes the characteristics of business or consumer leads to find what characteristics (or signals) correlate with desired behaviors (such as purchasing your product), and then creates and tests a statistical model to assess the probability of future behaviors and outcomes. The model is then used to predict, with a high degree of accuracy, which new customers are most likely to have the same behavior (such as buy your product).

Versium Predict builds predictive models using machine learning algorithms, trained with your customer combined with business and consumer attributes from Versium’s LifeData® warehouse.

An ETL Pipeline refers to the process in computing where data is extracted (E), transformed (T), and loaded (L) into an output data container.
A Data Mesh is a decentralized data architecture that groups data by a certain business domain (i.e., marketing, sales, customer service, etc.).
A Data Warehouse is a type of data management system that centralizes and consolidates large amounts of data from many different sources.

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