Dataiku DSS 4.0 Enables Scalable Data Science Team Collaboration and Production

Dataiku has released Dataiku DSS 4.0, a major upgrade to the collaborative data science platform that improves the ability for organizations to develop and manage large-scale enterprise data science projects

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Dataiku

Feb 23, 2017, 08:00 ET

NEW YORK, Feb. 23, 2017 /PRNewswire/ -- Dataiku, the maker of the enterprise-grade platform for data teams, Dataiku Data Science Studio (DSS), has today announced the release of Dataiku DSS 4.0, which introduces new functionalities that improve the production, development, and management of enterprise data science projects. The latest version brings new features that bring scalable data science to any organization, from small startup to global enterprise, including:

Streamlined Collaboration Across Large Teams - Dataiku DSS 4.0 expands the ability to scale the work for large teams worldwide by introducing new dashboards, seamlessly integrating with third-party collaboration software solutions, including Slack, HipChat, Github, and many more. Additionally, new visual machine learning libraries shorten the time to insight for experts as well as beginners in the data science process.
Effectively Scoring and Segmenting for a Large Customer Base - Large organizations can now perform powerful customer segmentation and scoring that reduces IT workload and limits unnecessary data movement. Furthermore, Spark in-memory technology in Dataiku DSS 4.0 increases runtime efficiency for large data flows.
Compliance and Regulatory Tracking - As organizations turn to data science for more customer-critical needs, there is a need to match compliance requirements in industries such as finance, insurance, pharmaceutical research, aerospace / defense, etc. By adding features to trace data transformations or audit changes, Dataiku now provides comprehensive and efficient compliance and regulatory tracking.

"With this latest release of Dataiku we've focused on addressing how organizations can most efficiently scale their analytics capabilities," said Florian Douetteau, CEO of Dataiku. "Building data products and running data science driven departments at scale is an inherently complex operation for any organization - big or small. Dataiku's goal is to help these organizations keep growing their data-centric activities while maintaining this complexity at bay."

Hundreds of companies ranging from SMBs to Fortune 500s use Dataiku on a daily basis to enable their teams to collaboratively build predictive dataflows to solve industry problems such as fraud, churn, logistic optimization, maintenance issues, and much more.

To learn more about Dataiku and for a free trial of Dataiku DSS 4.0, visit: www.dataiku.com

SOURCE Dataiku