[Workshop] Stream Processing Made Easy With Flink | Register Now
Staying ahead of customer expectations is more crucial than ever. Leveraging real-time data from multiple sources can transform the way organizations engage with their customers. In a world where customer expectations are continually rising, a Customer 360 experience powered by real-time data is not just an advantage – it’s a necessity.
A Customer 360 experience is a holistic view of a customer’s interactions with a brand, integrating data from multiple channels and touchpoints. With Customer 360, you can build a comprehensive customer profile that includes everything from purchase history to social media interactions. By incorporating real-time data, businesses can ensure that they are always engaging with the most up-to-date and relevant information.
Investing in a Customer 360 experience represents a commitment to the future of customer interaction, guaranteeing that your organization stays pertinent and competitive within a constantly evolving market.
Customer 360 experience backed by real-time data allows businesses to deliver tailored content and recommendations instantly.
Real-time data equips customer service representatives with the latest information about customer interactions and issues. This allows them to provide more efficient and effective support.
Foster stronger relationships by enabling seamless and consistent interactions across all channels.
Precise targeting based on current customer interests and behaviors, reducing wasted efforts on broad campaigns that may not resonate.
This use case leverages the following building blocks in Confluent Cloud:
Quickly connect systems and applications with 120+ pre-built connectors, including change data capture (CDC) source connectors.
Use Flink stream processing to combine data from multiple sources in real-time to build your customer 360 experience.
Leverage Stream Governance to ensure data quality, trustworthiness, and compliance. Schema Registry helps define and enforce universal data standards that enable data compatibility at scale.
Contact Improving to learn more about this use case and get started.