Cognitive computing and the customer-first approach

Helping the enterprise adapt to the new age of the customer

Customer experience is the new battleground for banks. Fuelled by new technology, consumers expect increasingly personalised and seamless services. Banks are looking for new ways to grow revenue and equip employees with next-generation tools and insight.

Data is often cited as the answer. Of course, data from communications hide a trove of insights. Uncovering these can significantly improve revenue, reveal upsell/cross-sell opportunities, and reduce customer churn. The question is how. View this resource to find out how organisations are using cognitive computing to take full advantage:

Designing a unified customer strategy
Explore the main pillars required to build customer loyalty: building insight, mitigating risks, reducing churn, uncovering opportunities.

How cognitive analytics reveals customer insight
How cognitive analytics adds the brainpower of thousands of your employees. Analysing forms of communication, gathering analytics, and highlighting opportunities for growing revenue and measuring customers satisfaction.

Extracting what’s important
Conventional computers can find key words or phrases, but can’t make sense of context, nuance, and relationships between entities and concepts. That’s where cognitive computing makes the difference. Learn how the technology analyses the data at scale, making sense of human communications, highlighting relevancy, opportunities and drawing attention to customer dissatisfaction.

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