Are you a bank or you provide financial services? Have a look at some of the possible solutions we can develop for your business. Not seeing what you’re looking for? Contact us, we'll develop together the perfect solution for you
Credit Risk Modeling allows banks to analyze how their loan will be repaid. Through the power of Big Data, we will leverage new technologies for effective risk modeling and therefore better data-driven decisions.
Customer Lifetime Value
Customer lifetime value (CLV) is a prediction of all the value a business will derive from its entire relationship with a customer. With predictive analytics, banks can classify potential customers and assign them with significant future value in order to invest company resources on them. While the classification algorithms help the banks to acquire potential customers.
Real-time and predictive analysis
Real-time analytics allows customers to understand problems that impede businesses. Predictive Analytics, on the other hand, allow the customers to select the right technique to solve the problems.
Based on customer transactions and personal information to suggest offers and extended services. You can also estimate what products the customer may be interested in buying after analyzing historical purchases. With this, you will be able to recommend the product of the companies that have tied up with them.
By implementing a series of fraud detection schemes banks can achieve necessary protection and avoid significant losses.
Some of the possible solutions we can provide are: Identification of customers based on their profitability, segmenting customers based on their usage of banking services, strengthening relationships with your customers, analyzing customer segments to implement and improve services.
You can provide your users with a new way to interact with you on any platform. We can exploit natural language processing
techniques to develop a custom solution for you.