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Best Practices for Scaling Data Preparation for ML and AI

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Read this report from Ventana Research

Data preparation is a critical component of any organizational data strategy—successful data preparation improves the overall quality and efficiency of data initiatives by leaps and bounds. In this report, Ventana Research details 10 best practices that help organizations optimize the use of data preparation and, in turn, derive more value from their data.

Download this report to learn practices such as:

  • Establishing a data preparation strategy
  • Creating clear goals for a data preparation technology
  • Using cross-functional teams for 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.""