Case Study
Vitens - Using big data to detect and remedy costly pipe leaks
Vitens CASE STUDY WATER PURIFICATION Water supply companies in Europe invest 20 billion euros annually to maintain the reliability of their networks. Substantial cost savings can be achieved by using big data and predictive analytics to detect leaks. BIG DATA AND PREDICTIVE ANALYTICS By converting data into information and patterns, big data and predictive analytics enable you to learn from previous experience so that you can predict future behavior and make better decisions. cgi.com © 2014 CGI GROUP INC. Using big data to detect and remedy costly pipe leaks uaranteeing a reliable supply of drinking water to 5.5 million customers in the Netherlands is the job of the Vitens water supply company. Before flowing out of a customer’s faucet, water is first pu