While new tools enable practitioners to analyze and model data in seemingly endless ways, many companies struggle to act on insights produced by data teams. In this post, Charles Zhu suggests that data teams must map statistical results to actions or recommendations, including by understanding the set of responses a business operator can take in response to a finding or through process automation. Lastly, he recommends a model wherein insights that drive actions are pushed out to analysts and operators as they’re uncovered.