Data analytics teams at the end of the day need to deliver. We can talk about the perfect architecture or tools but those are just meant to make delivering easier. So even as a data analytics team is building, it's important that they keep iterating and delivering the data and metrics the business needs to make decisions. That brings up the question. How do data teams balance delivering and ensuring what they are building is maintainable and flexible? That way, when the business asks for some new report or needs some data that might not already be ingested, it's easy to get to. What exactly makes up an effective data team? I am going to talk to Tom Rampley, A Data Analytics Director with nearly 10 years of experience managing data teams, how to make sure data teams stay effective. What questions would you ask?

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