Dataiku, the maker of the collaborative data science software, has been named a strong performer in “The Forrester Wave™: Predictive Analytics And Machine Learning Solutions, Q1 2017.” The report by Forrester Research included 14 of the most significant vendors in Predictive Analytics and Machine Learning (PAML) solutions and evaluated them against 23 criteria grouped by current offering, strategy, and market presence.
Forrester analysts recognized that Dataiku’s guiding inspiration is “to offer a data science platform that lets coders use a notebook when they must, but use visual tools to build workflows when productivity is at a premium.” The report also recognized that with better model management capabilities the company “is poised to challenge the leaders posthaste.”
In a market forecasted at a 15% compound annual growth rate (CAGR) through 20211, Forrester analysts say that PAML solutions today should drive data scientist productivity, allow polyglot programming, and the ability to accommodate non-data scientists into model creation.
Dataiku co-founder and CEO Florian Douetteau commented, “We are thrilled that Forrester has recognized what we consider to be a fundamental component of data science production - that companies who want to innovate around data should provide their teams with the tools that enable all members to work efficiently.”
Last month, Dataiku released version 4.0 of their software platform, a major upgrade that enables seamless collaboration across large teams, improves the ability to segment and score large customer-bases, and introduces compliance and regulatory capabilities, in addition to a plethora of new features that bring scalable data science to any organization, from small startup to global enterprise.
Hundreds of customers including NPR, AXA, Hostel World, KUKA, and L’Oreal, use Dataiku DSS on a daily basis to collaboratively build predictive dataflows to detect fraud, reduce churn, optimize internal logistics, predict future maintenance issues, and more. Dataiku has offices in Paris and New York.