David Feuer of Galileo shares why building an end-to-end digital platform can support customer journeys from the inside-out, delivering contextual solutions in real-time supported by data and analytics.
Data Analytics in Banking
Articles about data analytics in banking, including data analytics tools, big data, how to leverage data to personalize the digital banking experience, and other advanced data analytics strategies to drive business decisions.
Personalization, cybersecurity and artificial intelligence are just a few use cases for quantum computing that Truist and IBM will research.
Popular Articles within Data Analytics in Banking:
Lookalike domains are getting more sophisticated and often trick consumers into sharing personal information. But a growing number of banks are switching from .com to .bank to thwart cyberthieves.
Darryl Knopp at FICO discusses the current state of personalization in banking and how organizations can use applied intelligence systems to improve experiences, engagement and loyalty.
Banks of all sizes are reinventing themselves by digitally transforming every part of their business with technology, data, automation, and AI, says Accenture's Michael Abbott. How do they break down the internal silos?
Learn how leading banks are approaching personalization, using data, and tactical examples of effective touchpoints in the customer lifecycle.
Visions FCU's Tom Novak, talks through how his institution achieved this digital success through their partnership with Finalytics.ai.
How could Google’s latest update to its algorithm impact banks and their websites? Here’s a crash course on its “helpful content” update.
Decision management platforms combine the power of analytics and artificial intelligence to enable smarter banking decisions at scale.
Conversational AI could be shaping the future of banking — both operationally and through the customer experience — says Microsoft's chief data scientist Charles Morris.
Learn how successful financial service marketers are leveraging that data to create customer-first strategies that drive acquisition growth.
What are the top retail banking trends for financial institutions to keep an eye on in 2023? Editor-in-chief and publisher of Fintech Finance Magazine Ali Paterson has what banks need to know.
Banking organizations are using technology to break down data silos, improve data quality, and deliver insights for a broader array of staff.
In order to succeed in digital banking, financial institutions will have to partner with third-party fintechs, says vice president of digital experience at Citadel Credit Union, Courtney Rowan.
ChatGPT, the artificial intelligence chatbot, impressed us in a discussion about its abilities and its perspectives on the future of banking.
Branch networks are growing less prominent, but they're just as critical as ever. Adrenaline's CEO Gina Bleedorn says with data and analytics, banks can determine the right mix of flagships, self-service locations, and everything in between.
Does customer segmentation work? Apparently so — a 240% lift in loans won over this financial institution in Washington state.
The regional bank is using a test-and-learn approach with its new digital assistant, which has already improved contact center efficiency.
Choosing an analytics platform is a big decision, and it's hard to see through vendor marketing messages. Here's what to look out for.
If banks can provide strong AI-based personalization solutions, they will win customers over from digital banks — for good, says Coveo's senior product marketing manager Devin Poole.
Issues range from the sagging mortgage market to ongoing BNPL growth to banks and credit unions being data rich and information poor.
Technology tools like crowdsourced innovation ideas and artificial intelligence create opportunities to push bank service to the next level.
There's a "last mile" of data utilization that banks and credit unions are failing to finish. This can make data investments pointless, says Segmint's senior sales engineer Greg Spencer.