# The New Dataiku: A Central Hub ForEnterprise Analytics, Machine Learning, And Data Science Author: Pal Sinha, Barnali Author URL: https://financedigest.com/author/pal-sinha-barnali Published: 2017-11-16 Category: TECHNOLOGY Category URL: https://financedigest.com/category/technology Meta Title: Dataiku 4.1: Bringing Data Science to Everyone at Scale Meta Description: Discover the new features of Dataiku 4.1, designed to scale and deploy data science solutions effortlessly. From data preparation tools to live model URL: https://financedigest.com/the-new-dataiku-a-central-hub-forenterprise-analytics-machine-learning-and-data-sciencehtml ![undefined](https://prod.superblogcdn.com/site_cuid_cm5qst7v3003gwirgwqtxn8i8/images/fd161117-20-1736843245729-compressed.jpg) _Building upon the needs of their customers, some of whom have dozens and even hundreds of users of the software, Dataiku releases a new version that establishes it as a central hub for the development of advanced data science, machine learning, and analytics products._ With a wide range of new and improved features aimed at making data science, machine learning, and advanced analytics accessible to organizations as a whole, data science software maker [Dataiku](https://www.dataiku.com/) has [today released](https://blog.dataiku.com/dataiku-4-1-hub-for-enterprise-analytics-machine-learning-improved) Dataiku 4.1. The new and improved software platform acts as a central hub for technical and non-technical users to prototype, build, scale, deploy, and manage advanced data science products. “We are focused on building a platform that is a single hub for an enterprise’s data science and machine learning development – that’s what this release reflects,” said Florian Douetteau, CEO of Dataiku. “Many of our customers already use Dataiku with hundreds of users from all different backgrounds, from data engineers, to developers, to non-technical analysts, to perform advanced [analytics and to develop data](https://www.financedigest.com/big-data-analytics-fraud-prevention-in-the-financial-sector.html "BIG DATA, ANALYTICS & FRAUD PREVENTION IN THE FINANCIAL SECTOR") science solutions. This latest release [strengthens](https://www.financedigest.com/adnami-strengthens-executive-team-with-jorgen-gosvig-appointed-as-cfo.html "Adnami strengthens executive team with Jørgen Gosvig appointed as CFO") enterprise scale development and deployment of these solutions among and across teams.” **A new Dataiku with the same great functionalities, built for scale** Building upon the needs of Dataiku customers who have hundreds of users across their [organizations around](https://www.financedigest.com/the-medical-ultrasound-equipment-market-to-stick-around-based-on-organic-expansion.html "The Medical Ultrasound Equipment Market to stick around based on organic expansion") the world relying on the software, Dataiku 4.1 has been designed to accelerate scalable deployment while maintaining its powerful core functionalities such as: - point-and-click interfaces for [data preparation and analysis](https://www.financedigest.com/shock-data-logger-market-2021-outlook-current-and-future-industry-landscape-analysis-2029.html "Shock Data Logger Market 2021 Outlook, Current and Future Industry Landscape Analysis 2029") - customizable tools to facilitate cutting-edge and efficient [data science](https://www.financedigest.com/crowdsourcing-of-data-to-drive-the-life-science-market.html "Crowdsourcing of data to drive the Life Science Market") - straightforward solutions for deploying, monitoring, and governing models in production. In its latest release, Dataiku is introducing new [features that further expand](https://www.financedigest.com/youtube-expands-shopping-features-to-combat-digital-ad-slowdown.html "YouTube expands shopping features to combat digital ad slowdown") its capabilities as a single platform for everyone, including coders and clickers, spread across any sized organization around the world. “This release plays to our strength of [enabling our largest customers to propagate data](https://www.financedigest.com/seenthis-launches-emissions-dashboard-to-enable-advertisers-to-analyse-data-reduction-and-emission-savings-on-campaigns.html "SeenThis launches Emissions Dashboard to enable advertisers to analyse data reduction and emission savings on campaigns") science expertise throughout the organization,” said Douetteau. “In fact, organizations who deploy Dataiku at scale have on average a 4:1 ratio of non-coding data specialists to data scientists using Dataiku.” **Data preparation tools for coders and non-coders** Dataiku 4.1 introduces new data preparation “recipes” within the Dataiku graphical interface that bring powerful analytical functionalities to non-coders, including pivoting, sorting, and splitting datasets. For coders, the latest release [brings advanced visualization libraries like RShiny and Bokeh for rapidly creating engaging](https://www.financedigest.com/ecb-engaged-in-bringing-down-inflation-to-2-in-two-to-three-years-from-now-villeroy.html "ECB engaged in bringing down inflation to 2% in two to three years from now – Villeroy") interactive web applications within dashboards. Additionally, RMarkdown [reports let users easily share](https://www.financedigest.com/credit-agricole-is-weighing-foray-into-german-car-sharing-media-report.html "Credit Agricole is weighing foray into German car-sharing: media report") their results outside of Dataiku. **Live Model Competitions – Compare models in real-time** With Dataiku’s “live model competition,” [users](https://www.financedigest.com/industrial-magnetrons-market-competitive-growth-strategies-based-on-type-applications-end-user-and-region.html "Industrial Magnetrons Market Competitive Growth Strategies Based on Type, Applications, End User and Region") compare the performance of a batch of machine learning models competing in real time without waiting for the entire training of the model. This reduces the training time and resources used by interrupting or resuming the competition once it yields satisfactory insights. Additionally, model ensembling, which exploits the strengths of various models by combining different algorithms, is now possible without writing a single line of code. **Isolated coding environments for project stability** It is common for an organization to have many projects using different versions of Python, R, and libraries. Dataiku 4.1 now supports reproducible environments, which properly isolate projects and reproduce the runtime condition throughout the deployment phase. This alleviates the worry about one individual upgrading a package, because deployed code will remain stable. Dataiku 4.1 bolsters the product’s end-to-end [reach by introducing a versatile API](https://www.financedigest.com/how-to-expand-business-reach-with-event-driven-apis.html "How to expand business reach with event driven APIs") node that scores models, runs custom Python and R functions, and accesses to datasets via parameterized SQL and custom functions. Additionally, the new release provides an extended toolkit for plugins. _To learn more about all of the features of Dataiku 4.1 visit:_ [_www.dataiku.com_](http://www.dataiku.com/) _To learn more about scaling analytics and machine learning capabilities, join Dataiku along with industry leaders at the_ [_EGG2017 conference_](https://pages.dataiku.com/egg2017-non-conforming-data-science-conference) _for presentations on cutting-edge approaches and methodologies on non-conforming data science in New York City on November 30._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. ---