The Solution delivers faster time-to-value at a lower TCO by combining pre-built best practices use cases for banking with a low-code enterprise insights platform
Customer Intelligence & Insights (CI&I) for Banking helps banks deliver hyper-personalized connected customer experiences that drive loyalty and satisfaction along every point of the customer journey. Uniquely, CI&I for Banking analytics span digital and physical interactions. The solution delivers faster time-to-value at a lower TCO by combining pre-built best practices use cases for banking with a low-code enterprise insights platform.
CI&I for Banking provides deep, actionable insights, right out of the box. With a 360-degree understanding of each customer, comprehensive dashboards, scoring, insights, and real-time offer recommendations, banks can retain and sell more to current customers, attract and acquire new customers, and deliver superior, connected digital/physical experiences.
With automated customer persona discovery, retail banks can build campaigns knowing that they are focusing the right offers and actions on the right people, at the right time, in the right way. Marketers can use the dynamic customer segmentation and offer recommendation features to build and deliver campaigns that drive higher conversion rates while reducing costs
Retail banks can leverage insights from digital and physical customer interactions to improve the entire connected customer experience including back-end and customer facing processes for customer product journeys across tellers, products, branches and customer types. A built-in alert framework lets users choose when and how corrective actions are delivered to business stakeholders.
The CI&I Banking Platform is capable of ingesting vast amounts of data, from many different sources, with built in security, AI, machine learning, deep learning, scalability, and APIs to simplify integration with 3rd party and customer facing systems such as marketing automation, chatbots, websites, mobile, apps, call centers, and back-end systems.The proven, out-of-the-box use cases solve critical challenges immediately and the low-code, ‘self-serve’ data science tools and data lake enable simplified development of supplemental use cases as needed, maximizing scarce data science resources, and it can be deployed in just 10-12 weeks.
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