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 Hedderly, Director Customer Solutions, Confluent
Lyndon is a Director of Customer Solutions at Confluent. He helps organizations model how Digital and specifically how event-centric thinking can enable new business models and improve company performance. Prior to joining Confluent, Lyndon was a; Director of Digital Strategy at Acquia (2014-2017), Head of Customer Success at a UK digital start-up (2009-2014) and an IT Strategist and Enterprise Architect at Accenture (1996-2008). Lyndon holds an MSc in Neuroscience incl. Neural Networks & AI, from Oxford University. He runs his own blog on all things Digital & Data here: https://lyndon.london