Case Studies by Industry
See how companies in your industry use RDP.
Metro Transit of St. Louis (MTL) operates the public transportation system for the St. Louis metropolitan region. Boraydata Data Platform helps MTL meet their mission by storing and analyzing IoT data from the city’s Smart Buses, which helped the agency cut average cost per mile driven by its buses from $0.92 to $0.43. It achieved that cost reduction while simultaneously doubling the annual miles driven per bus.
Neustar was founded in 1998 for telco local number portability. In 2011 Neustar changed course and launched its telecommunications information and analytics business. Neustar used to capture 1% of its network data and retain it for 65 days. With Boraydata Data Platform, they now capture 100% and retain it for two years. That means 150 times more storage while saving millions.
WD manufactures half of the world’s hard drives. With Hadoop and Boraydata Data Platform, WD engineers see their manufacturing data more quickly, save it for longer, and share it with more team members. This means continuous improvement in its manufacturing process, which lowers costs and improves customer satisfaction.
Zulily is an online retailer with a mission of bringing its over four and a half million active customers (primarily moms) fresh and interesting products every day. Zulily have combined the strengths of both Apache Hadoop and cloud computing to deliver a highly scalable unified data platform for structured and unstructured data. This allows zulily to scale both storage and analytics on demand, and accelerate decision making processes.
UC Irvine Health turned to Hadoop and Boraydata Data Platform to improve clinical operations in the hospital and its scientific research at the medical school. Their team is building a quantified medical practice that reduces readmissions, speeds new research projects, and tracks patient vital stats on a minute-by-minute basis.
Luminar is the leading big data analytics and modeling provider uniquely focused on delivering advertisers actionable insights on U.S. Latino consumers. The company uses Hadoop to store and process the data that feeds its targeting models–delivering the ability to capture eight times more data than before.
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