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TREATING DATA AS A PRODUCT
Example data team structures
Each company has its own, individual data requirements and a unique
approach to organizing the data team. Examples of data team structures that
we see often among Snowplow customers include the centralized team, a
distributed model and a structure of multiple data teams.
• The centralized data team is arguably the most straightforward
team structure to implement and a go to for companies who are
taking the first steps to become a data-informed organization.
This model can lead to a central data ‘platform’ that can serve
the rest of the business, enabling data professionals to work
towards their own key projects.
• The distributed model shares data resources with the rest of the
business by equipping other teams with individual data
professionals, sometimes with data ‘pods’ that might contain an
engineer and an analyst.
• Multiple data teams share data responsibilities such as data
engineering, data science and business intelligence. Choosing
multiple teams can be a robust solution for companies that handle
high-scale data operations, without wanting to ‘bloat’ a single
data team.
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