Tuesday, June 18, 2024
HomeHeadlinesCloud Analytics Startup Sigma Computing Raises $300Mn

Cloud Analytics Startup Sigma Computing Raises $300Mn

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Sigma Computing, the cloud analytics and business intelligence (BI) innovator, announced today it has raised $300M in Series C financing. To date, the company has raised $381.3M to enable business and technical users to analyse data securely and at scale with the simplicity of a spreadsheet interface.

The company claims to be one of the first to be purpose-built for Snowflake and is an Elite partner of Snowflake. Customers such as US Foods, Blackstone, Athenahealth, and others have implemented its platform “Workbooks” to respond to customers quickly, approve transactions, increase supply chain efficiency and more.

Sigma was founded in 2014 to meet the needs of analysts who work with spreadsheets and want to use data in Snowflake, thus removing the technical hurdles of developing on visualisation tools in SQL to run specific big data queries.

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Today, the firm is said to provide a unified collaborative canvas that combines spreadsheets, charts, and narratives, keeping all data projects synchronised in a single, self-contained platform for easy collaboration across an organisation.

Sigma said it tools allow users to drill down into data anywhere on a dashboard and calculate any inquiry against billions of rows of live data with no coding required. The company’s highly responsive UX also allows cross-functional teams to directly conduct ad hoc analytics for the most granular-level insights in milliseconds instead of hours. With Sigma, users can find immediate answers to their data questions without going through their BI team, and can embed Workbooks to easily share with authorised users.

Sigma Computing CTO and Co-Founder Rob Woollen, said, “Overcoming these technical challenges with accessible no-code Workbooks met that promise, easing processes for large organisations and allowing decision-makers to pull insights directly in real-time while also making this technology accessible and scalable for anyone to use.”



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