A leader in cloud application performance monitoring (APM) helps thousands of enterprises around the world automate cloud operations and deliver better digital experiences to their customers. This type of service generates a lot of data, including millions of rows of product, usage, and customer data.
The Business Intelligence (BI) team is responsible for strategic data initiatives, enterprise reporting, and supporting business teams throughout the company by answering data-related questions, running ad hoc reports, or supplying them with data extracts so that they can find the information needed to make critical decisions. The demand for data was increasing and fulfilling requests from business teams took 20% or more of the BI team’s time each week. The BI team leverages PowerBI, but it was too complex for business teams, like Finance and SalesOps, to use, which led to several issues for the company:
Sigma was purpose-built for the cloud. The Finance and SalesOps teams now have direct access to live data in PostgreSQL, ensuring that everyone is always working with the same current data - no more stale extracts, data sprawl, or conflicting insights - and the data stays safe in PostgreSQL.
Sigma is cloud-native and delivers unlimited scale at cloud speed – no summarized or aggregated data. Business users can now easily analyze and filter billions of rows of product and customer data, enabling them to drill down to the most granular level of data without rendering or latency delays.
Sigma’s spreadsheet UI makes iterative ad hoc analysis available to anyone. Business users now slice and dice data, build pivot tables, and create new complex calculations on the fly, enabling them to accurately assess pipeline, forecast, identify net new logos, and set pricing to optimize revenue.
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