Trifacta + DataRobot
Self-service data wrangling meets automated machine learning
Modernize your analytics workflow using self-service data wrangling and automated machine learning to build accurate predictive models and gain deeper insights.
Trifacta and Datarobot enable organizations to scale their data wrangling and machine learning processes by making them more intuitive and efficient. This partnership dramatically accelerates the delivery of predictive analytics initiatives while creating a cost-effective data science process that is inclusive of all business stakeholders, not just data scientists.
This enables enterprises to execute machine learning on a broader array of data much faster than previously possible.
By leveraging Trifacta and DataRobot as part of an integrated modern analytics platform, organizations can remove the bottleneck of data wrangling in executing machine learning at scale across their business.
Trifacta and DataRobot enables data scientists and business analysts with a modern, integrated, self-service analytics platform:
- Prepare and wrangle data at scale
- Accelerate the delivery of predictive analytics initiatives
- Execute machine learning on a broader array of data much faster
Successful analysis relies upon accurate, well-structured data that has been formatted for the specific needs of the task at hand. Yet, today’s data is bigger and more complex than ever before.
It’s time-consuming and technically challenging to wrangle it into a format for analysis.
At Trifacta, we’re focused on providing software that helps individuals and organizations more efficiently explore, transform and join together diverse data for analysis.
Whether you’re working with files on your desktop, disparate data in the cloud or within large-scale data lake environments, Trifacta will accelerate the process of getting data ready to use.