Real-time data has value. But how do you quantify that value in order to create a business case for becoming data, or event driven? This talk explores why valuing Kafka is important - but covers some of the problems in quantifying the value of a data infrastructure platform.
Despite the challenges, we will explore some examples of where we have attributed a quantified monetary amount to Kafka across specific business use cases, within Retail, Banking and Automotive.
Whether organizations are using data to create new business products and services, improving user experiences, increasing productivity, or managing risk, we’ll see that fast and interconnected data, or ‘event streaming’ is increasingly important. We will conclude with the five steps to creating a business case around Kafka use cases.
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