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TREATING DATA AS A PRODUCT
“Our mindset across the company is to make data available to
everyone. We also hold internal training for team leads for
Metabase so they can get data themselves.” – Tourlane
Promoting a culture of self-serve data is also a core focus for Auto Trader’s
central data platform. Auto Trader has an experienced and capable team,
made up of data engineers, developers, analysts and data scientists, but they
also stress the importance of empowering other teams to help themselves
and preventing a bottleneck.
“Our teams are empowered to care about the analytics their
products are generating and the insights they want to drive.”
– Auto Trader
But Auto Trader’s data team is not one dimensional. By creating an agile
‘project team’, data engineers can get in the trenches alongside developers,
analysts, and data scientists to build product features together. In one such
project, Auto Trader’s data team is working on a cross-functional project to
enhance customer performance. For Auto Trader, as with many other data
teams, it is important to strike the right balance between making themselves
available to others while maintaining focus on core data projects.
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