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White Paper

The Practical Guide to Actionable Machine Learning with Trifacta and DataRobot

From preparing your data to putting your predictive models to work, Trifacta and DataRobot expedite the entire machine learning project life-cycle. Together Trifacta and DataRobot deliver unprecedented rapid value and unmatched ease of use.

In this white paper from Jen Underwood of Impact Analytix, she will walk you through the entire machine learning lifecycle, and show you how Trifacta and DataRobot optimize and accelerate the collection, preparation, and understanding of your data.

This white paper covers:

  • How the combination of Trifacta and DataRobot optimize and accelerate the entire machine learning lifecycle
  • The key steps in data preparation required for successful machine learning, and how Trifacta reduces this time by as much as 70%
  • How automated machine learning from DataRobot compresses the development and deployment of machine learning models from weeks to hours or days
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.