
5 Myths About Customer Centricity in Banking
Without the right data and analytics tools — and a strategy for using them — 'customer-centric' will only be words.
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.
Without the right data and analytics tools — and a strategy for using them — 'customer-centric' will only be words.
More nuanced now, thanks to AI advances, chatbots increasingly work in concert with humans to serve customers and even train employees.
Relying too much on chatbots for online conversations frustrates customers. A hybrid approach integrates AI technology with human input.
Many banking technologies leverage artificial intelligence and machine learning, but not knowing what's inside the black box can be risky.
Chatbots can reduce bank call center workloads, but wrong ideas about the typical makeup of call and chat traffic leads to poor results.
Cardholders want timely insights into their spending habits. Unclear and misleading data gets in the way. Here's how to overcome that.
Personalization strategies not only support improved results in customer acquisition and cross-selling. They are now a basic expectation.
Tapping AI's banking potential has barely begun, but its impact on CX, operational efficiencies, and lending will be profound.
Personalization of banking services isn't a one-time event. It's a continuous process that only AI can deliver consistently.
Bank marketers considering decision engines to deliver personalized CX must understand they are just one part of a modern marketing stack.
Fintech competitors are grabbing wallet share. It’s critical banks mine first-party transaction data to retain customer relationships.
Open banking — and open finance even more so — is the key to creating personalized banking experiences and driving financial innovation.
Dive into CSI’s interactive 2023 Banking Priorities Executive Report to discover where bankers stand on the industry’s hottest issues, plus how to respond to disruption.
A modern AI-supported loan platform can help community banks be competitive and grow, but requires care in deciding which features to use.
Rising fraud undermines trust and threatens digital banking progress. Fighting back demands finding the right identity solution.
Financial institutions must use data, analytics, machine learning and new technologies to understand and build engagement with customers.
The payments battle grows hotter as it ranges from mobile technology to digital currency to invisible payments via the internet of things.
Turning existing customers into primary accounts is a key goal for financial institutions — largely unmet. It requires a new data framework.
The 'cost of funds' metric under-reports revenue for checking accounts and especially for rewards checking. There is a better measure.
Data and AI in banking will improve back-office systems, decisioning, customer engagement, and financial institutions' operating model.
Back office operations impact efficiency and innovation. Automating finance and accounting departments in particular brings big benefits.
Small institutions now have an edge — if they update their business model. Five traits mark the successful bank and point the way forward.
Many of the skills that Olympic champions possess are the same skills that can help banks and credit unions be successful.
In the first three months of 2023, some institutions have seen their delinquency rate increase up to 3x. What can your financial institution do about it?