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TREATING DATA AS A PRODUCT
Data is now a full-time job for engineers, architects, analysts and data
scientists who are grouped into teams – tasked with collecting and managing
data and deriving value from it. But one size doesn’t fit all. Each data team is
as individual and multifaceted as the companies they support, and most are
in a state of flux, continually evolving alongside their business.
In search of what makes up an ‘ideal’ data team composition, and the
optimal way for data professionals to interact with other teams, we asked our
customers how they structure their data teams, and how they operationalize
data across the business.
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