Some people who were more kind of the data leads were acting as a long-lived enabling team effectively. Their goal was more to identify the gaps across organization help grow the data science capability across organization and so they were not as much on the day-to-day helping address specific gaps of teams. That's why I think you end up for certain capabilities at least needing combination of long-lived that now we started calling sometimes structural enablement teams.

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