PYMNTS
NOVEMBER 24, 2020
Businesses and financial institutions (FIs) are constantly examining ways to make their customers’ accounts more secure, especially as more consumers go online to make purchases and transact during the ongoing COVID-19 pandemic.
Bank Innovation
AUGUST 17, 2017
Silicon Valley, New York City, and Boston all have thriving fintech communities, and are definitely worth a trip for the invested fintech entrepreneur, but the U.S. is already seeing a cluster of other fintech hubs emerge. These cities boast strong tech communities, talent pools, good coffee, and cheaper rents.
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Abrigo
OCTOBER 7, 2016
Have you purchased anything online recently? One study by The Boston Consulting Group estimated that small and midsize U.S. This allows valuation professionals to spend more time applying analytical skills and professional judgement to a larger number of projects rather than spending it on basic analysis that software can perform.
Independent Banker
NOVEMBER 30, 2021
As more customers moved online, fraudsters took advantage of new and increasingly inventive opportunities to commit remote authentication fraud. Since the pandemic started, Crowe says, more customers are opening online or mobile accounts and making remote payments. Online U.S. By Elizabeth Judd. Education as an anti-fraud tool.
PYMNTS
DECEMBER 8, 2016
Clavis Insight, a world leader in digital shelf analysis, insights and analytics, recently formed an alliance with leading Big Data and predictive analytics provider IRI. Our solution is oriented toward brand manufacturers who are looking to monitor their brands’ product listings in the online marketplace,” said Silverman.
PYMNTS
DECEMBER 21, 2016
T-shirts may seem like a simple product, but according to Spreadshirt, there is a ton of hard data and analytics at the core of even the softest shirt. Germany- and Boston-based Spreadshirt uses data, analytics and even social media information to build a product and spread news among communities while printing more than 3.6
PYMNTS
FEBRUARY 10, 2020
Retailers can engage with an “AI lite” strategy that produces lookalike customer data and a level of predictive analytics. On the selling side, enhanced methods of customer profiling alongside increasing amounts of available customer data could revolutionize the marketing and selling processes for retailers, especially online.
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