Our “Modernization of Data Infrastructures and Analytical Applications” Project, which we started with Eren Retail, was crowned as a Success Story by Microsoft.
Customer segmentation is the process of dividing customers into groups based on common characteristics so that companies can market to each group effectively and appropriately.
Propensity Modeling uses advanced machine learning algorithms to predict customer behavior. Propensity modeling is often critical in domains such as marketing, sales, e-commerce and CRM.
Forecasting customer churn is called tracking the rate at which customers quit using the product/service.
Product Segmentation is the process of the parsing products into separate groups relationally with robust analytics and machine learning algorithms. In the retail and inventory industry, product segmentation is oftenly used to manage planning, pricing, promotions and discounts on products.
Litigation Classification uses advanced machine learning algorithms to predict, if an insured person, who had an accident, is going to open a law suit against the insurance company with the claim that insurer didn’t fulfill their responsibility to the insured.
Especially in the insurance and banking domain, it provides high profits to predict case litigation rate before litigation.