Financial institutions are constantly striving to reduce delinquency rates and manage risk effectively in the dynamic world of lending. Predictive analytics and machine learning (ML) are revolutionising the lending industry, enabling lenders to improve profitability and optimise risk. Through the utilization of ML models, lenders can enhance the accuracy of credit scoring, prevent and detect fraud, optimise collection processes, predict customer lifetime value, and achieve a risk-optimized customer portfolio.

Alternative data has the potential to revolutionise credit risk management by offering companies more comprehensive insights into their customers’ financial behaviour and overall financial condition. Recent advancements in data sources and technologies allow businesses to capitalize on first-party data and develop ecosystem scores that are more effective, enhancing decision-making capabilities and driving business expansion.

Digital banks are no different than other banking institutions when it comes to risk management. With the threat of different risks looming large on digital banking sector, we, In this blog, will explore the various risk management strategies that digital banks must utilise to protect their customers and remain compliant.

Analysis of massive datasets manually can be time-consuming and inaccurate in today’s environment. As a result, data-driven decisions in the financial sector are increasingly being made using AI. In this blog we will look at the impact of predictive and prescriptive analytics in the financial sector.

Corestrat is pleased to announce that it has been recognized by the Singapore FinTech Association (SFA) as a certified FinTech. Corestrat has been awarded the SFA FinTech Certificate for its contribution to improving and automating the delivery of financial services to end users, businesses, and financial institutions.

Decision intelligence is the next evolutionary stage of BI, designed using AI that considers previous and present data for future predictions and recommendations. Implementing decision intelligence can help organizations become more agile and collaborative. Read more here…