Dataiku named as strong performer in predictive analytics report

15th March 2017
Source: Dataiku
Posted By : Anna Flockett
Dataiku named as strong performer in predictive analytics report

A strong performer in ‘The Forrester Wave: Predictive Analytics And Machine Learning Solutions, Q1 2017’ has been named, Dataiku, the maker of the collaborative data science software. 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 recognised 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 recognised 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 2021, 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 recognised 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 organisation, from small start-up 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, optimise internal logistics, predict future maintenance issues, and more.


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