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How Big Data Analytics Helps Banks Detect Money Laundering and Financial Crime

Introduction Money laundering and financial crime are still very much issues which banks and other financial institutions must deal with as criminals come up with new ways to hide illegal income. This may include use of many different accounts, cross border transactions, empty shell companies, fake transactions, and also what appears to be normal business operations. Also it is a challenge that traditional monitoring tools face in which they try to sort through large volumes of financial info in a short amount of time....

How Big Data Analytics Helps Banks Detect Money Laundering Discover how big data analytics helps banks detect money laundering and financial crime through transaction monitoring, pattern analysis, AI, and regulatory compliance.

Big Data in FinTech: How Financial Technology Companies Use Data to Drive Innovation

Introduction Big data is at the core of what FinTech is today which in turn is a great driver of innovation in that space. We see transformation in how businesses are running payments, banking, lending, investment, and personal financial management services. What we also see is that in the FinTech space companies are collecting and analyzing large sets of info to study customer behavior, to identify risk, to better serve the customer and to put out products that are relevant to what customers are asking for....

Big Data in FinTech: How Data Drives Innovation Discover how FinTech companies use big data analytics to improve digital payments, credit scoring, fraud detection, customer experiences, and financial inclusion while addressing data privacy and security risks.