[ad_1]
Sigma Computing, the cloud analytics and enterprise intelligence (BI) innovator, introduced right this moment it has raised $300M in Collection C financing. Thus far, the corporate has raised $381.3M to allow enterprise and technical customers to analyse knowledge securely and at scale with the simplicity of a spreadsheet interface.
The corporate claims to be one of many first to be purpose-built for Snowflake and is an Elite companion of Snowflake. Clients reminiscent of US Meals, Blackstone, Athenahealth, and others have applied its platform “Workbooks” to reply to clients shortly, approve transactions, enhance provide chain effectivity and extra.
Sigma was based in 2014 to fulfill the wants of analysts who work with spreadsheets and need to use knowledge in Snowflake, thus eradicating the technical hurdles of growing on visualisation instruments in SQL to run particular large knowledge queries.
Right now, the agency is claimed to offer a unified collaborative canvas that mixes spreadsheets, charts, and narratives, holding all knowledge initiatives synchronised in a single, self-contained platform for simple collaboration throughout an organisation.
Sigma stated it instruments enable customers to drill down into knowledge wherever on a dashboard and calculate any inquiry towards billions of rows of dwell knowledge with no coding required. The corporate’s extremely responsive UX additionally permits cross-functional groups to instantly conduct advert hoc analytics for essentially the most granular-level insights in milliseconds as a substitute of hours. With Sigma, customers can discover rapid solutions to their knowledge questions with out going by way of their BI crew, and might embed Workbooks to simply share with authorised customers.
Sigma Computing CTO and Co-Founder Rob Woollen, stated, “Overcoming these technical challenges with accessible no-code Workbooks met that promise, easing processes for big organisations and permitting decision-makers to tug insights instantly in real-time whereas additionally making this know-how accessible and scalable for anybody to make use of.”
[ad_2]
