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City Replaces Legacy Data Protection Technology With Rubrik

Sioux Falls Achieves Over 90% Operational Savings and Minimizes Risk of Data Breach with Rubrik

City of Sioux Falls is the largest city in South Dakota with over 182,000 citizens. With a 4% annual growth rate, the city is quickly evolving into a major metropolitan area of the Midwest. With a growing population of citizens, the city is faced with an exponentially increasing data footprint and massive data sprawl, making it harder to discover and protect sensitive employee and citizen data.

Brandon Morris, Systems Administrator, is part of a 28-person IT team supporting the city’s central services for its 1,200 employees and citizens, including managing the control center for fire, police, and rescue. “We have access to all kinds of citizen data, such as health clinic records, permits, and personally identifiable information (PII). We must ensure its privacy and confidentiality. As a result, it is critical that we implement strong and continuous data governance processes,” said Morris. “Rubrik’s Polaris Sonar furthers our data governance strategy by providing visibility into where sensitive content resides and within previously dark repositories, allowing us to minimize risk of data exposure and breaches and drive continuous compliance.”

Please make sure to watch the video where the customer talks about why they moved from a legacy data protection technology and the importance of Rubrik for life saving city services.

You can see the video and more on this case study at https://www.rubrik.com/customers/city-of-sioux-falls

For questions, comments or inquiries into Rubrik for California public sector please contact dan.raynes@rubrik.com
Rubrik delivers instant application availability to hybrid cloud enterprises for recovery, search, cloud, and development. By using the market-leading Cloud Data Management platform to provide instant access with self-service, customers mobilize applications, automate protection policies, recover from Ransomware, search and analyze application data at scale on one platform.