BIG DATA
BIG DATA
BIG DATA
Data.world reels in $12M round to add collaboration to data science
Enterprise analytics projects usually involve multiple users with varying levels of technical expertise, often from different parts of the company. Data.world Inc. offers a platform where those workers can collaborate on the information repositories that sit at the core of a project.
The three-year-old startup has raised more than $44 million in funding to date, including a $12 million round that it announced today. The investment was backed by the Associated Press, OurCrowd and Workday Inc.’s venture capital arm.
Data.world previously raised $18.7 million last February from a consortium that included early Alibaba Group Holding Ltd. investor Scott Booth. The startup launched its commercial collaboration platform for enterprises about a year later. The offering is essentially a beefed-up version of its first product, a social network resembling a cross between Twitter and GitHub that enables analytics professionals to share datasets with the world.
Data.world’s commercial offering allows companies to create private workspaces for internal projects. The platform provides the ability to control who may access what information and offers features for logging data changes, which simplifies quality assurance.
Users, in turn, have access to various capabilities for interacting with their data. The feature set is headlined by an extensive lineup of integrations with external analytics tools such as Tableau. Workers may pull records from Data.world into their analytics tool of choice, extract new insights and then export the results back to their team’s workspace.
Along the way, they can exchange feedback with peers using the platform’s collaboration features. Data.world includes a Twitter-like activity feed for keeping track of project updates and has a chat tool that lends itself to technical discussions.
Data.world’s first product, the data-focused social network, has a place in the value proposition as well. The startup lets workers who use the enterprise version draw upon the thousands of open-source information repositories on the platform for their projects.
Photo: Data.world
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