Remove Cards Remove Data Remove Marketing Remove User Experience
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Citi Explores The Real-Time Payments User Experience

PYMNTS

The payments industry has been riding the wave of shifting consumer habits and demands, placing the end-user experience at the forefront of new products, services and infrastructure. Those users, both consumers and businesses, aren’t just demanding choice, however.

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How Data Builds A Foundation For Commercial Bank/FinTech Collaboration

PYMNTS

The corporate expense management market doesn’t look like it once did. The commercial card and expense management market is yet another space in which collaboration between FIs and FinTechs has proved key to driving innovative tools – especially as corporates grow weary with the traditional legacy services their banks provide.

Fintech 187
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Enticing Suppliers, Buyers To Embrace The Commercial Card

PYMNTS

Commercial cards remain only a fraction of the B2B payments space, but FinTech firms, banks and other financial service providers continue to develop new solutions aimed at boosting adoption. For companies like SmartEquip and Unified Payments Group , that means introducing new ways to lift the burden of suppliers accepting cards.

Cards 131
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SAFE Credit Union Brings Targeted Marketing To An Increasingly On-Demand World

PYMNTS

Member expectations for a really wonderful and seamless user experience in the digital space translate to that same expectation from SAFE.”. SAFE has been delivering on-demand experiences since 2016, when it launched a targeted marketing function on its mobile app. “Now, all of that is affecting SAFE as well.

Marketing 131
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5 Consumerism Tips for Healthcare

Perficient

And in healthcare – an industry that tends to segment consumers into patient or member experience silos – consumers increasingly expect a seamless, holistic, digital health journey. Today, entire industries such as healthcare, banking, insurance, and business-to-business (B2B) sales are being rewired around customers and end users.

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Mobile Order-Ahead Sector Goes All-In On AI

PYMNTS

Smart move – but supervised machine learning is reliant on historical data, which means that by itself, this method might not catch the new or disguised attack types pouring in. It uses payment data, location data, unique customer data and digital identifiers to detect fraud in real time.

Mobile 289
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Why payments leaders are prioritizing data privacy & security

CB Insights

Payments leaders face compounding challenges of combating fraud and financial crime, securing consumer and payment card data, and complying with regulatory mandates to protect their businesses and customers — all while ensuring a frictionless user experience. Want the full expert post? Become a CB Insights customer.