big data Archive
While banks and credit unions believe data can help them create a competitive advantage, their analytic capabilities lag behind other industries.
Predictive analytics, combined with advanced digital delivery options, can offer consumers financial solutions at the exact time of need.
Despite the availability of more data sources and advanced analytics, most marketers can't respond to customer journey opportunities.
The customer data flywheel effect is an ongoing and iterative process, allowing financial organizations to improve personalization over time.
Banks are testing open banking and partnering with fintech firms as ways to improve customer acquisition and retention.
Personal financial management (PFM) tools are becoming an integral component in many of the best mobile banking applications.
Banking providers are investing in innovation, changing business models and partnering with fintech firms to respond to digital consumer expectations.
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.