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Understanding the 5 tenets of proper data preparation

On average, data preparation requires up to 80% of the time and resources of any data project. It’s the most inefficient part of analytics—but that also means it has the greatest potential for improvement. As new data preparation platforms emerge to solve this bottleneck, they bring with them new organizational processes for how data is made ready for analytics, or what we call the 5 tenets of proper data preparation.

Download this guide to understand:

  • The criticality of data preparation
  • What to look for in modern solutions
  • The 5 tenets of proper data preparation

""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.""