Data Science needs Data – But it’s hard to start!
How to design new data flows to accelerate your Data projects
Simply getting to the startline of a data project may involve your data scientists searching for the right data through a fragmented IT landscape, requesting access to data, then preparing tooling and environments. These tasks to set up a data pipeline are usually monotonous, time consuming and can set projects up for failure before they have even deployed to production.
In this talk Paul will discuss his experience in empowering organisations to enable next generation Data projects by using examples of
- Removing legacy barriers and designing data pipelines to quickly start a data project
- Setting up oversight and governance processes to control the data pipelines
- Enabling the people who really understand the data to do their jobs
