The value of real-time data is growing as an increasing number of companies look to provide a comprehensive experience for their customers. Utilizing Kafka in key facets of your organization will yield greater customer satisfaction and promote a better understanding of user interactions. As data streaming is becoming more prevalent in a wide variety of industries, companies are seeking to modernize their tech stacks by employing the extensible, scalable infrastructure afforded by Kafka.
Over the past few months, we have successfully developed a containerized Kafka implementation at a major healthcare provider. In addition, we created producers to publish messages to the Kafka cluster and consumers to receive them on the other end. By capturing a plethora of data around customer activity, we created opportunities for the business to act upon real-time metrics in order to provide an improved customer experience.
In this talk, we will cover the user-related data sources we connected to Kafka, the reasons we chose them, and how the insights gained from each source can be leveraged in your business. You will walk out understanding how capturing a wide variety of customer activity data can create opportunities for the business to act on real-time metrics in order to provide an improved customer experience.