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Data Wrangling for Faster, More Accurate Analysis

Successful analysis relies upon accurate, well-structured data that has been formatted for the specific needs of the task at hand. Data wrangling is the process you must undergo to transition raw data source inputs into prepared data set outputs to be utilized in your analysis. Watch this video as we walk through the six steps to wrangling your data for downstream analytics.

""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.""

Mike Riegling

Data Analyst, PepsiCo

""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.""

Ryan Weil

Principal Scientist, Centers for Disease Control