Imagine a world in which, instead of spending time preparing data, analysts and data scientists focus solely on building predictive models and boosting the level of insight. The Trifacta and DataRobot partnership does exactly that, enabling analytics professionals to prepare data at scale and to generate the most accurate predictive models in a fraction of the time of traditional approaches.
Since data preparation is often a challenge that can consume 80 percent or more of a data analytics project’s timeline, this powerful partnership increases productivity, speeds up decision-making, and delivers tangible competitive advantages.
Read our ebook, Maximize Your Big Data Investments with Advanced Data Preparation and Automated Machine Learning, to learn how using Trifacta with DataRobot empowers users across an enterprise to perform data preparation, data science, and predictive modeling at enterprise scale, creating an optimized analytics pipeline.
We cover how this solution:
- Enables business analysts and domain experts to leverage machine learning on Big Data for augmented analytics
- Reduces the time-to-predictions and outcomes from weeks and months to days or weeks with the same resources
- Offers better data quality inputs thanks to self-service data preparation for more accurate predictive models
- Leverages Big Data platforms for data availability, unlimited scalability, and massive processing power for modeling
- Delivers enterprise-grade security and governance
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.