Run the data team as a service, not a ticket desk

The move: manage the flow of data work, not just the people doing it. Kanban's service lens starts with a practical question: what service are we providing, to whom, and how does work move through it? For a data team, the service is not "writing SQL." It is helping the business make trustworthy decisions using data. That means the work includes scoping, data discovery, metric definition, analysis, validation, communication, adoption, and support. Make the invisible work visible. Put requests, incidents, metric changes, and stakeholder enablement into one view. Then define the states that matter: waiting for business context, ready for…

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