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TREATING DATA AS A PRODUCT
Data team structures with examples from
Snowplow customers
The business world is witnessing the rise of the data team. When companies
first worked with data departments, it was in fragmented silos, with
marketing teams, business intelligence (BI) teams, data scientists, engineers
and analysts within product teams, each handling data individually. Since
then, data has become recognized as a valuable business asset, and the
dedicated ‘data team’ (or teams) has emerged. Given the rapidly growing
data driven organizations we work with, we wanted to write the ‘how to build
a data team’ guide, but after reviewing the options we saw that only you can
decide which structure will work best for you.
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