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Snowplow - What Are the Best Practices for Creating Data Effectively?
The adage of garbage in garbage out will remain the same if data is garbage at the source level. So I think there's a kind of journey we've seen organizations go on that have been really successful with data creation. And so you're you're slowly and sequentially building up a richer and richer data set as you're creating more and more data for more and more different use cases. We're seeing that in more and more organizations now typically takes two to three years to work through that cycle.