
Explainer: What Bankers Should Know About Google’s Helpful Content Update
How could Google’s latest update to its algorithm impact banks and their websites? Here’s a crash course on its “helpful content” update.
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.
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.
Banking organizations are using technology to break down data silos, improve data quality, and deliver insights for a broader array of staff.
ChatGPT, the artificial intelligence chatbot, impressed us in a discussion about its abilities and its perspectives on the future of banking.
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.
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.
Community financial institutions share artificial intelligence tactics that help them optimize their sales and marketing efforts.
Changing habits at a 135 year-old bank is hard for both leadership and staff. Data analytics is a particular challenge, says Liz Wolverton.
Banks will make better use of data to enhance decision making, automate processes and personalize CX. Here's how they can get there.
This free white paper outlines how to meet the evolving data needs of your customers and team.
Read More about Ensure Success In Your Data Journey With These 5 Steps
The way forward for banks and credit unions is to lean into lessons from fintechs, and use data to put their own spin on the best ideas.
Traditional segmentation models are woefully inadequate. Here's how banking personas and qualitative data improves targeting.
To help customers navigate financial decisions, top-performing bank marketers must be able to extract — and act on — insights instantly.
Despite emphasis on data and the deployment of many artificial intelligence solutions, banking is far from achieving the full benefits of AI.
Nontraditional data enables bank marketers to enhance retail and small business account acquisition. Here's how to make the data work.
Customer trends demand banks focus on personalization. The solution lies in machine-learning, data analytics and artificial intelligence.
New third-party data options can help bank marketers create a more precise picture of the most valuable customers and prospects.
Successful bank marketing requires a holistic view of the customer, driven by effective use of data. Three competencies bring this about.
Nearly all marketers know they need to personalize, but few are sure of their ability to do so. It doesn't require AI, but data is key.
The competitive pressure for banks to increase use of AI is running smack into growing pushback over model bias. 'Explainable AI' can help.
Learn how Financial Institutions can create a holistic view of their customers to keep their accounts safe.
Read More about Fight Fraud by Connecting Your Financial Channels