Our fraud solution called Fraud Detection and Management (FDM). This solution is designed to help organizations detect and prevent fraud across various channels, including credit cards, debit cards, online banking and much more across industries.

FDM uses advanced analytics and machine learning to analyze transaction data and identify potential fraud in real-time. It can be customized to meet the specific needs of each organization and can be integrated with other systems and applications.

One of the key benefits of  our FDM is that it can be deployed on-premises/ Hybrid which means that the organization has full control over the solution and its data. This can be particularly important for organizations that have strict data privacy and security requirements.

FDM also includes a range of features and capabilities, including:

Real-time fraud detection: FDM can analyze transaction data in real-time and identify potential fraud as it occurs.

Case management: FDM includes a case management system that enables fraud investigators to manage and track fraud cases.

Customizable rules: FDM includes a rule engine that can be customized to meet the specific needs of each organization.

Machine learning: FDM uses machine learning algorithms to analyze transaction data and identify patterns of fraud.

Our Hyper-Personalization uses advanced analytics and machine learning to provide personalized recommendations and offers to customers in real-time. The solution is designed to help organizations improve customer engagement and loyalty by delivering highly relevant and personalized experiences.

Hyper-Personalization works by analyzing customer data, such as transaction history, browsing behaviour, and demographic information, to create a detailed profile of each customer. The solution then uses this profile to generate personalized recommendations and offers that are tailored to each customer’s specific needs and preferences.

One of the key benefits of Hyper-Personalization is that it can be integrated with various channels, including websites, mobile apps, and call centers, to deliver personalized experiences across all touchpoints. This can help organizations improve customer satisfaction and drive revenue growth.

Hyper-Personalization also includes a range of features and capabilities, including:

Real-time decisioning: FICO Hyper-Personalization can generate personalized recommendations and offers in real-time, enabling organizations to deliver highly relevant experiences to customers at the right time.

Machine learning: FICO Hyper-Personalization uses machine learning algorithms to analyze customer data and identify patterns and trends that can be used to generate personalized recommendations and offers.

A/B testing: FICO Hyper-Personalization includes an A/B testing feature that enables organizations to test different offers and recommendations to determine which ones are most effective.

Customizable rules: FICO Hyper-Personalization includes a rule engine that can be customized to meet the specific needs of each organization.

We offer a range of decision-making solutions that leverage advanced analytics and machine learning to help businesses make more informed decisions. These solutions cover various areas, including credit risk assessment, fraud detection, customer management, and collections.

Some of our decision-making solutions are:

Score: This solution is used by lenders to assess the creditworthiness of individuals and make informed lending decisions.

Fraud Detection and Anti-Money Laundering solutions: These solutions help businesses detect and prevent fraudulent activities and money laundering.

Customer Management solutions: These solutions enable businesses to gain insights into customer behavior, preferences, and needs, and make personalized offers and recommendations to enhance the customer experience.

Collections solutions: These solutions help businesses optimize their collections operations by prioritizing collections efforts, segmenting customers, and tailoring collection strategies to individual customers.

Our Scoring solutions are a set of advanced analytics tools and models that help lenders and financial institutions make more informed and objective lending decisions. FICO Scores are widely used in the financial services industry to assess credit risk and determine the likelihood of a borrower repaying their debts.

Scoring solutions use a range of data sources, , to build a comprehensive view of a borrower’s credit history and financial situation. The solution then uses advanced analytics and machine learning algorithms to analyze this data and generate a credit score that predicts the borrower’s likelihood of default.

Scores are used by lenders to make a variety of lending decisions, including:

Credit card approvals: Scores are used to determine whether a borrower is approved for a credit card and what credit limit they are offered.

Mortgage approvals: Scores are used to determine whether a borrower is approved for a mortgage and what interest rate they are offered.

Auto loan approvals: Scores are used to determine whether a borrower is approved for an auto loan and what interest rate they are offered.