Big Data Customer Experience Fraud Operations 
Cisco
APRIL 26, 2022
Those opportunities will rely on data and analytics for real-time decision making. Some familiar examples are receiving banking fraud alerts on mobile devices, submitting photos for insurance adjustments, or using robo-advisors for investment decisions. Creating new customer value from AI. Customer Value.
PYMNTS
MAY 27, 2016
Big data, big data, big data. We all know the term, understand its significance and have seen plenty of examples across the industry of how businesses are utilizing massive amounts of data (and the applied analytics needed to make sense of it all) as a competitive edge in the market.
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NCR
MAY 22, 2017
Big data has been one of the tech industry’s most popular buzzwords for a few years now. But as the number of data sources grows and technology to process it becomes more powerful, the trend is changing from a nice-to-have addition to becoming an essential part of any company’s offering. Fighting fraud.
Gonzobanker
MARCH 6, 2020
Addressing common loan and deposit operations process inefficiencies can help financial institutions deliver optimized value to customers and stockholders. In recent years, many financial institutions have been focused on improving their digital delivery capabilities, often at the expense of their operational groups.
Perficient
OCTOBER 15, 2020
The world of modern data and analytics continues to evolve and is very exciting. The change really began in earnest about 10 years ago with the introduction of Hadoop and big data processing. While this explosion of data use cases started on premises, it is most certainly migrating to the Cloud as the primary platform.
CFPB Monitor
SEPTEMBER 8, 2022
He observed that “[d]igitalization has put a premium on online and mobile engagement, customer acquisitions, customization, big data, fraud detection, artificial intelligence, machine learning, and cloud management” and that “these activities require expertise and economies of scale that most banks do not have.”
PYMNTS
NOVEMBER 11, 2019
Data holds the key to helping modern enterprises develop effective anti-fraud strategies. Many businesses are sitting on massive troves of it, but they are also facing down the three “V’s” of data complexity — velocity, variety and volume — which can make tackling fraud even harder. . Structured Versus Unstructured Data.
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