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Deep Dive: Digital-First Banks Harness The Power Of Data Analytics

PYMNTS

Every interaction tells banks what customers actually want, meaning FIs just need the right tools to interpret this data. One of the most powerful tools in the financial sector is data analytics. Big Data analytics reached a market valuation of $29.87 When number crunching is needed, however, data analytics can help.

Analytics 237
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Banking Algorithms, the Apple Card and Sexism

Banking Exchange

Allegation that the Apple Card provided husband a credit limit several times higher than his wife’s credit limit Payments Technology Risk Management Social Media People Customers Tech Management Mobile Online Cards Security Big Data Feature3 Fintech Feature.

Apple 60
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15 Twitter accounts every bank executive should follow

Abrigo

The ABA has a new report out on how banks are using social media, and much of the report focuses on using Twitter, Facebook, LinkedIn and the like to boost customer service, make connections in the community and recruit staff. It often Tweets columns tied to breaking news and statistics. Learn more here.

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Meet Our 2023 FICO Decisions Awards Judges

FICO

Cortnie Abercrombie is a world recognized expert in AI and data analytics and has been named in media articles as one of “12 Brilliant Women in Artificial Intelligence & Ethics to Watch,” one of the “Top 100 Innovators in Data and Analytics,” and one of “10 Big Data Experts to Know.”

Meeting 52
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The Tale of Money 2020 Vegas, Last Part

Tomorrow's Transactions

But my sense of Venmo is that it suceeded because of social media integration so I suspect that Zelle’s long term role will be as an API for other platforms (e.g., I tend to focus on the business models around identity, but I’m sure there are others in big data, analytics, risk management and so on.

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The Tale of Money 2020 Vegas, Last Part

Tomorrow's Transactions

But my sense of Venmo is that it suceeded because of social media integration so I suspect that Zelle’s long term role will be as an API for other platforms (e.g., I tend to focus on the business models around identity, but I’m sure there are others in big data, analytics, risk management and so on.