Kafka Use Cases by Industry
Learn how Confluent and Apache Kafka are utilizing event stream processing to empower real-time businesses across all industries.
In the era of omni-channel retail, consumers are creating more data than ever before. For a retailer, real-time streaming data across the business can help drive insights into customer behaviors and improve business outcomes.
Explore Real-time data is a must have to financial services firms. With an up to the moment view of all activity they can better meet regulatory constraints, combat fraud, and remain competitive in a rapidly changing landscape.
Retail banking is as competitive as ever. The ability to be one step ahead of your customer, deliver the products they want, and detect potential bad actors is critical to survival. Real-time streams gives you a complete view of the customer across all channels.
The connected car market is expected to reach $46.69B by 2020. At the same time, a ground swell of data will be generated as more and more connected vehicles hit the road, creating unique opportunities for auto manufacturer if they are able to capitalize on data in real-time.
By streaming data from an unlimited number of sources, healthcare providers can give patients more choices for care and doctors more insight to better predict patient outcomes.
By integrating streaming data into business operations, manufacturers streamline operations, deliver higher quality, more relevant products, and reduce waste. Real-time streaming data enables manufacturers to modernize existing processes and streamline costs.
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