Dataiku 4.0 Is Out Now: True Scalable Collaboration!

Today, we are announcing the release of Dataiku DSS 4.0, which introduces new functionalities that improve the production, development, and management of large-scale data science projects. 

The latest version of the team-based enterprise data science platform streamlines collaboration across large teams, improves large customer-base segmentation and scoring, and introduces compliance and regulatory capabilities, in addition to other new features that bring scalable data science to organizations of all sizes, 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 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 DSS now provides comprehensive and efficient compliance and regulatory tracking.

“With this latest release of Dataiku DSS 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.”