Case Study: DataBank achieves self-service analytics and faster decision-making with Sigma Computing

A Sigma Computing Case Study

Preview of the DataBank Case Study

Empowering DataBank with Self-Service Analytics to Drive Business Growth

DataBank, one of the largest data center providers in America, needed a better way to manage analytics and reporting across its 65 locations and 29 markets. Before Sigma Computing, business users depended heavily on IT and data teams for reports and insights, and the existing Power BI setup couldn’t scale to support real-time, self-service analytics.

With Sigma Computing paired with Snowflake, DataBank created a more flexible self-service analytics environment that lets non-technical users build dashboards, analyze data in real time, and set alerts on key performance indicators. The company expects 90% of reports to be generated independently by end users, and early feedback has been overwhelmingly positive, with faster decision-making, improved operational visibility, and a roadmap to extend Sigma into its customer portal.


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DataBank

Vlad Friedman

Chief Technology Officer


Sigma Computing

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