How to Make A Success of Data Science: Rendezvous Architecture for Data Science

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Presented by

Jan Teichmann, Senior Data Scientist, Zoopla

About this talk

Making data science a success is really hard with up to 85% of projects and initiatives around big data and data science failing according to Gartner. The reasons are complex but often misunderstood. What is so different about data science that it needs new approaches? A survey in 2016 concluded that 80% of data science is preparing and cleaning data (the infamous 80/20 rule). That survey of data scientists caught on and developed into the widely recognized problem statement for data science, because productionisation of models is the TOUGHEST problem in data science. This talk will introduce the unique data science requirements and why they are important for the long game and introduce the Rendezvous Architecture, a proven solution to integrate data science and enterprise requirements in a harmonious way at scale
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