Start Wrangling

Speed up your data preparation with Trifacta

Free Sign Up
Trifacta Ranked #1 in Data Preparation Market Study

Dresner Advisory Services study reviews and ranks 24 vendors

Get the Report
Schedule a Demo

Download now

Preparing data and putting predictive models to work usually requires a numerous set of different skills, tight collaborations with business and IT professionals, and long and intensive deployment efforts to operationalize machine learning within a business process.

Jen Underwood, from Impact Analytix, a recognized expert in the industry, takes a look at how to expedite the entire machine learning project life-cycle by evaluating new approaches and technologies. Her in depth guide, take a real-life example to provide practical and actionable recommendations to successful machine learning adoption.

This guide covers:

  • What modern machine learning life cycle is
  • Define machine learning objectives for success
  • How to assess, explore and prepare data for ML
  • How to automate and operationalize ML modeling

""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.""