Consumers generate vast amounts of data across diverse channels and touchpoints. But this fragmented data isn't enough to understand what they want and when they want it. To make hyper-personalization a reality, you need to consolidate and analyze customer data to get a complete picture of each individual. That's exactly what Customer 360 delivers. This integrated view helps businesses understand customer needs, preferences and behaviors, helping predict and guide their actions.

But what does that really look like for the ground reality of industry-specific use cases?

In the retail industry, Customer 360 can create a stronger connection between people and brands through personalized product recommendations, targeted marketing campaigns, and seamless omnichannel experiences. Sephora is the perfect example. The French retailer has successfully deployed data and analytics to build long-term customer relationships and consistently top retail personalization charts.

A comprehensive view of the customer can also help banks and financial institutions assess risk, enhance the accuracy of fraud detection, and deliver personalized financial planning. For example, a recommendation for a high-yield savings account would be perfect for a customer who often saves money. At the same time, someone who frequently shops online is the ideal audience for a credit card with cashback rewards.

And it's not just about brand loyalty or business growth. Hyper-personalization can even save lives. Getting deeper insights about a patient can lead to personalized care plans, increase the effectiveness of health monitoring and harness predictive analytics for disease prevention.

It's a similar story across other industry verticals. With Customer 360, enterprises have the power to address needs and expectations at the right time and embark on a journey of delivering greater value than ever before.​