Immuta and Dataiku Announce Integrated Solution for Rapid and Compliant Access to Highly Regulated Data for Data Science Programs

NEW YORK–(BUSINESS WIRE)–Immuta today announced a new integration with advanced analytics software maker, Dataiku. This integration will enable data teams to ensure state of the art corporate governance and compliance for their data science programs. The companies will demonstrate their joint solution at EGG2017, Dataiku’s first, large-scale data science and analytics conference.

Dataiku’s collaborative data science platform acts as a central hub for technical and non-technical users to prototype, build, scale, deploy, and manage advanced data science products from raw data to deployed solution. The Immuta data management platform provides quick access to data, dynamic policy enforcement applied to all data, and an understanding of the risks associated with the use of the data. The integrated Immuta and Dataiku solution enables organizations to prototype and deploy advanced analytics and machine learning solutions in environments where data sources, policies, security features, and controls are highly regulated and constantly changing.

“The process of gathering approved, compliant data for data science teams can take weeks, or even months. For an algorithm-driven enterprise, this is far too slow and inefficient,” said Matt Carroll, CEO, Immuta. “Our integration with Dataiku solves this problem, operationalizing data into highly accurate, auditable predictive models, while ensuring 100 percent compliance with corporate and industry regulations like GDPR. The result is a complete, secure data science solution for all enterprises looking to accelerate innovation and drive better user experiences.”

The Dataiku/Immuta joint solution solves some of the biggest pain-points for data science programs. The Immuta platform sits between disparate data sources and Dataiku, enabling teams to operationalize data through one unified source without making new copies or moving the underlying data.

“Traditional approaches to data management and methods for operationalizing data for advanced analytics were not designed for the modern speed of business and can result in significant delays for data scientists, which puts their AI programs at risk,” said Matt Aslett, Research Director, Data Platforms and Analytics, 451 Research. “The combination of Immuta and Dataiku will provide users of Dataiku Data Science Studio with rapid self-service access to multiple data sources, while at the same time enforcing privacy and policy controls.”

This integration provides users of the joint solution with rapid, personalized access to all data, while dynamically controlling access and dynamically enforcing policies on the data as it’s queried. This empowers data scientists, data analysts, data stewards, and governance personnel to access data as they need it, using any tool and any language, while also ensuring complete control and visibility into how the data is being used.

“Dataiku is committed to helping organizations efficiently scale their analytic capabilities to extract maximum business value,” Florian Douetteau, CEO, Dataiku. “The integration with Immuta can help data teams access and analyze all the data they need in one location, to improve the creation, deployment, and auditability of their predictive models while adhering to compliance rules and regulations.”

The integrated solution is available immediately. For more information, please visit www.immuta.com or www.dataiku.com. The companies will also be demonstrating the joint solution at EGG2017, Nov. 29th-30thin New York.

About Dataiku

Dataiku develops the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently. Its collaborative, team-based user interface works for all profiles, from data scientists to beginner analysts, and the unified framework allows for both development and deployment of data projects. For more information, visit www.dataiku.com.

About Immuta

Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company’s hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI. Founded in 2014, Immuta is headquartered in College Park, Maryland. For more information, visit www.immuta.com and follow us on Twitter (https://twitter.com/ImmutaData) and LinkedIn (https://www.linkedin.com/company/10043125/).

Contacts

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Brian Merrill, 617-986-5005
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