Dataiku

Dataiku

Computer Software, 902 Broadway, New York, 10010, United States, 1001-5000 Employees

dataiku.com

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phone no Phone Number: 21********

Who is DATAIKU

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working i...

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industries-icon Industry: Computer Software

SIC SIC Code: 7371 | NAICS Code: 511210 | Show More

checked-icon Does something look wrong? Fix it. | View contact records from DATAIKU

Dataiku Org Chart and Mapping

VP-Level
VP-Level
Employees

Itzel Murphy

Business Development Manager

Ismayil Tahirov

Technical Support Engineer

Adam Towns

Chief Financial Officer

Chad Covin

Senior Technical Product Marketing Specialist

Brian Drewes

Business Development Representative

Sang-Keun Kim

Sr. Partner Success Manager

Elizabeth Valencia

Regional Director, Customer Success - Federal and Southeast Us and Latin America

Jasper Lee

Enterprise Data & Analytics

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Frequently Asked Questions Regarding Dataiku

Answer: Dataiku's headquarters are located at 902 Broadway, New York, 10010, United States

Answer: Dataiku's phone number is 21********

Answer: Dataiku's official website is https://dataiku.com

Answer: Dataiku's revenue is $250 Million to $500 Million

Answer: Dataiku's SIC: 7371

Answer: Dataiku's NAICS: 511210

Answer: Dataiku has 1001-5000 employees

Answer: Dataiku is in Computer Software

Answer: Dataiku contact info: Phone number: 21******** Website: https://dataiku.com

Answer: Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 500 companies worldwide use Dataiku to systemize their use of data, analytics, and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

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