big data Archive
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.
Research provides deep insights on the gap between consumer expectations and banking's ability to provide personalized offers and communication.
The trends and tools impacting financial marketing are evolving at a breakneck pace. Here are five of the biggest that will impact your ROI.
For banking providers and fintech firms to succeed in the future will most likely require new business models and a spirit of partnership.
In 2016, big data's focus will shift from IT-driven infrastructure projects to business-driven solutions, resulting in operational efficiencies and top-line growth.
An annual retail banking forecast of trends compiled from 100 global financial services leaders and industry analysts.
Big data could revolutionize banking —from marketing to sales and service— if banks adopt new skills, strategies and a mobile-first mindset.
New customers to a financial institution expect a streamlined, efficient, and personalized onboarding experience.
Banks and credit unions must improve mobile offerings, engage millennials and leverage predictive analytics to build contextual engagement.
Big data can create differentiation and business value by providing real-time insights on current and prospective customers.
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