Data scientists spend 80% of their time shaping data; yet data shaping is one of the least impactful aspects of the data-to-decision process. This mismatch in effort is not only unfortunate, it shortchanges the most crucial aspects of the data intent by limiting the time analysts and decision makers require to identify relevant insights, to establish the evidence necessary to support important enterprise objectives, and to hone the underlying narrative of the data to enable better decision-making.