February 27, 2017 - Dataiku, the maker of the enterprise-grade platform for data teams, Dataiku Data Science Studio (DSS), has announced the release of Dataiku DSS 4.0, which introduces functionalities that improve the production, development, and management of enterprise data science projects. The latest version of the team-based enterprise data science platform is designed to streamline collaboration across large teams, improve large customer-base segmentation and scoring, and introduce compliance and regulatory capabilities, in addition to other features that bring scalable data science to any organization. As an organization grows, the demand on data teams to deliver data driven solutions grows as well.
In turn, this underscores the need for a solid data science infrastructure for the production, analysis, and management of any sized data science project. This is where Dataiku’s data science platform comes into play. The platform enables all of the members of data science teams, from the spreadsheet user to the machine learning expert to the IT and data engineer, to collaboratively leverage data science and machine learning tools to build and deliver their own data products more efficiently. Dataiku 4.0 introduces new dashboards, integrating with 3rd party collaboration software solutions, including Slack, HipChat, and Github, and more.
Additionally, visual machine learning libraries not only shorten time to insight but also open up the ability for growing teams to include machine learning experts as well as beginners in the data science process. As organizations turn to data science for more customer critical needs, there is a need to match compliance requirements in mission-critical industries such as finance, insurance, pharmaceutical research, aerospace / defence, and so on. By adding features to trace data transformations or audit changes, Dataiku DSS provides compliance and regulatory tracking.
