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's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
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.
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.
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.
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