Data and Analytics refers to products and services that enable organizations to collect, integrate, analyze, and act on data to drive informed decision-making and business outcomes. This category includes markets that focus on empowering enterprises to manage data pipelines, ensure data quality and governance, extract insights through advanced analytics, and machine learning across structured and unstructured data environments.
Gartner defines fraud detection in banking payments as platforms that use machine learning (ML) models and business rule engines (BREs) to detect and prevent criminal activities related to money movements that aim to defraud the banks and its customers. Banks use these platforms to determine the risk associated with events, such as payments (including real-time payments), and typically include modules for transaction monitoring, a decision engine and case investigations. A high-risk score may initiate a further review to determine if it is a true positive (fraud) or a false positive (not fraud). Modern platforms that incorporate ML models and BREs are capable of monitoring many account actions and use data from multiple sources. They are generally not used for identity verification, internal fraud, physical controls at branches and ATMs or accounts payable functions.