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Traditional data-transformation tools operate in a script-execute-check loop: transformations are scripted by dragging icons onto a canvas or by writing code, the resulting script is compiled and executed over a dataset, and the results are checked for acceptability. This deliberate authoring process makes it very hard for users to understand their data and transformations and explore different ways to wrangle data into shape.

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""