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Machine Learning

Machine Learning





Predictive Analytics

Predictive Analytics allows you to anticipate the future and make business decisions based on your current or historical data. It offers a variety of applications specific to a wide range of business sectors. Credit scoring can be applied to assess the likelihood of clients repaying loans. Sales forecasting is used to assess the demand for a product, while anomaly detection helps to identify risks and unexpected events with the use of data mining techniques. With the aid of predictive analytics, you can reduce risks while simultaneously improving business operations.


Churn Prediction

This is a part of predictive analytics that helps to answer a specific question: which customers end their relationship with a company (or stop using the product) and why? In other words, churn prediction lets you pinpoint when users are about to stop using your services before they do so. It becomes a massive asset when it comes to increasing customer retention. Thanks to churn prediction, you can learn what are the pain points related to your product or services, and find the right way to improve them.


Customer Analytics

Learning user behaviour and needs is crucial when it comes to digital businesses. Customer Analytics combines predictive analytics and customer segmentation to improve communication with customers and increase profitability as a result. We make it possible for companies to gain insights about the needs of a specific client segment and target tailored, direct marketing to their customers. When your selected user base is given the right message at the right time, you’ll see your conversion rates grow steadily.