Case Study: Vitens reduces pipe leaks with CGI's big data predictive analytics

Vitens detects pipe leaks 2.5 km away in 50% of cases with CGI

Vitens, a Dutch water supply company, faced significant operational challenges from costly pipe leaks that disrupted service to its 5.5 million customers. These incidents, like a major leak that took 30 workers hours to repair, required a more efficient solution. Partnering with vendor CGI, Vitens sought to leverage its big data and predictive analytics services to improve detection and maintenance across its vast network.

CGI developed a proof of concept solution by analyzing data on pressure, flow, and other variables in its big data lab. Using predictive analytics, their multidisciplinary team was able to detect leaks within a 2.5 kilometer radius in 50% of cases. This approach from CGI enabled faster repairs, minimized damage, and is expected to save Vitens millions of euros while preventing future water supply interruptions.

Vitens