The financial services sector has gone through unprecedented change in the last few years. Customers are expecting a more personalised service from their banks. Regulators have reacted to the credit crunch with significant changes to regulation with more intrusive and granular supervision. Advanced analytical solutions can address critical business questions efficiently by combining financial data with external data such as demographics, social media etc. We have a wide range of advanced data solutions in the areas of retail banking, card services, asset management and insurance services.
Customer Needs and Experience
Focusing on customer needs is going to be key to survival now and an organization’s ability to drive growth hinges on the depth of its consumer insights and how well it translates those into effective action. We help financial institutions drive new growth, facilitate better customer engagement and support customer-centric business transformation by helping them create a robust predictive analytics infrastructure. Some of our solutions include customer clustering, customer LTV, retention modeling, cross-sell and up-sell modeling and best product recommendation. etc.
Organisations today depend and thrive on integrated and automated IT systems for business processing and financial reporting. But as technology enables the creation and capture of ever-increasing amounts of data, effective management and productive analysis of that information are becoming enormous challenges. Our risk analytics team provides cost-efficient, risk-effective solutions to help you leverage and unlock the value of your information.
Fraud detection is a very scary and challenging problem. The fraudulent transactions are rare and they represent a very small portion of activities around an organization. The real issue is that this small percentage of rare activities make a very big piece in the pie to impose a huge financial and reputation risk. Criminals are tricky and smart as traditional and legacy fraud schemes fail to pay off, fraudsters keep changing the techniques and rules. We help organizations using the progress in machine learning, to make systems learn, adapt and uncover emerging patterns for preventing fraud. We help in moving organizations from rule-based systems as their primary tool to detect fraud. This is where machine learning becomes necessary for fraud detection.
With more than two billion people using social media around the world, Financial institutions are moving towards social media for customer engagement on appropriate social media channels. Even though it sounds easy however it is a big elephant in the room that needs to be addressed, managed smartly and used for benefit. Our expertise in this domain can help the organizations to create differentiation for themselves and become market leaders. It goes beyond simply establishing a presence on social media and that’s what we help organizations to achieve.