ThoughtSpot and Matillion Partner to Enable Rapid Delivery of Insights with Low-Code Data Integration and Live Analytics SpotApps

New collaboration improves productivity and reduces development time for modern data teams

 ThoughtSpot, the Modern Analytics Cloud company, and Matillion, the leading enterprise cloud data integration platform announced their joint partnership to provide data model templates and Live Analytics to help data teams working in the cloud get up-to-date data insights in minutes. Organizations can leverage ThoughtSpot SpotApps, prebuilt solutions for specific use cases powered by Matillion’s data transformation platform, to accelerate time to value and give more users access to the data they need.

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Companies of all sizes struggle to turn their dynamic, distributed, and diverse data into insights, and those insights into actions. The data pipelines built in the last decade fail to deliver the agility, flexibility, or intuitiveness required by modern businesses. Often, the go-to solution to migrate data into the cloud involves manually extracting and preparing the data, a code-intensive process that is complex and time-consuming. This is exacerbated by intensive, complex analytics platforms that require deep specialization to unearth insights from this data once it’s in a cloud platform. Data teams need to be able to rapidly ingest, transform, and empower their entire organization to analyze data to meet business demands. Together, ThoughtSpot and Matillion reduce development time needed to build data pipelines and launch new analytics use cases, helping business users easily access data and enabling data engineers to focus on more complex data projects.

Matillion’s low-code/no-code ELT templates via Shared Jobs solve this problem, offering users a cloud-native tool to extract, migrate, and transform data from any source, while ThoughtSpot makes it possible for anyone to analyze this data through search and AI. With Matillion, ThoughtSpot users can move data directly into their data cloud platform and quickly prepare it for analytics. As soon as the data is available, ThoughtSpot’s guided SpotApp configuration process makes it easy for users to stand up new Live Analytics use cases in seconds. SpotApps make getting up and running with use case templates simple for the most common SaaS applications such as ServiceNow, HubSpot, Okta, Google Analytics, and more with out-of-the-box ThoughtSpot Modeling Language (TML)-based worksheets, tables and Liveboards.

“Before building our modern data stack with Matillion, Snowflake, and ThoughtSpot, Sargento was spending excessive amounts of time in data preparation and manual reporting in Excel. We set out on a mission to find a best-of-breed cloud-first analytics solution to extract the business most value from the massive amounts of data we had in front of us,” explained Travis Lehn, Senior Manager of Data & Analytics at Sargento Foods, Inc. “After a rigorous selection process, we ultimately chose a stack that scales analytics across our business and provides self-service capabilities to our diverse user base.”

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“ThoughtSpot’s experience layer capabilities empower anyone to use search and AI to uncover powerful business insights with Live Analytics and are the perfect pairing for the data extraction, transformation and readiness that Matilion provides in the ELT layer,” said Kuntal Vahalia, SVP of Worldwide Channel and Alliances. “Through this partnership, we are dramatically reducing the stress and headache of building data pipelines and launching new analytics use cases, accelerating time to value for our customers in their data consumption and modern data stack journeys.”

“Today’s modern data teams are burdened with the maintenance, migration, and preparation of data to perform analytics. Matillion and Thoughtspot alleviate that burden using low-code and no-code templates to accelerate time to insights,” said Ciaran Dynes, Chief Product Officer at Matillion. “Now data teams can focus on innovation to use data for advanced use cases to drive the business forward.”

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