Data Analytics Archive
Here's why banks and credit unions should believe in artificial intelligence and invest in the power of advanced data analytics.
Combining the power of artificial intelligence and social messaging, chatbots yield increased engagement with decreased costs.
The customer data flywheel effect is an ongoing and iterative process, allowing financial organizations to improve personalization over time.
Senior marketers at smaller banks and credit unions can sense the urgency: it's time to hop on the analytics bandwagon... or risk getting left behind.
One of the most important uses of data and analytics is for measurement of marketing effectiveness and campaign results.
Everyone in banking is talking about the "customer experience," but how many banks and credit unions are actually doing something about it?
By analyzing internal, external, structured and unstructured data streams, banks and credit unions can improve their marketing ROI.
Predictive analytics helps financial institutions to better understand consumer needs and to provide personalized and contextual experiences.
Financial institutions must use data-driven insights to improve the consumer experience, increase sales effectiveness and improve operational efficiency.
The winners and losers in banking will be determined by how quickly marketing can develop the skills, tools and talent to leverage data.