Connecting Apache Kafka to Cash

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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.

Lyndon HedderlyDirector of Strategic Customer Advisory

Lyndon joined Confluent in 2017 and is a Director of Strategic Customer Advisory. He helps organizations model how Confluent and the data streaming platform can improve company performance. Prior to joining Confluent, Lyndon built the Business Value practice at Acquia, a digital experience platform company (2014–2017). He was on the founding team of a UK startup with an enterprise infrastructure platform and analytics solution (2009–2014). Before that, Lyndon spent 12 years with Accenture’s IT Strategy practice (1996–2008). Lyndon holds a Master of Science in neuroscience, including neural networks and artificial intelligence, from Oxford University. He runs his own blog on all things digital and data: https://lyndon.london.

Connecting Apache Kafka® to Cash

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