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Five data prep best practices to adopt to get full ROI

Your Snowflake cloud platform has incredible potential – as long as your users, analytics, algorithms, and automated services can access data that’s fit for use. And that takes some preparation. 

A modern data preparation solution can help you break through the greatest bottleneck to analytics and AI and realize the full value of your Snowflake investment.

This white paper explains five data preparation best practices to adopt now:

  • Empower all stakeholders
  • Focus on the right use cases
  • Enable self-service while maintaining data governance
  • Ensure data quality at scale with continuous validation
  • Automate data preparation for downstream analytics and machine learning

""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.""