Non-Revenue Water Analytics Model for the Intervention of Water Loss Program

Data analytics is a process of using raw data to make conclusions about a particular
topic. With the help of current computing power and smart tools, the work of data
analytics become more easier than before. Besides handling with big amount of data, the
potential impact of using it is also big. In this project, data analytics has been used as a
proof of concept to apply prevention approach to monitor Non-Revenue Water. Due to
the large percentage of non revenue water in Malaysia which caused by unbilled water
consumption, apparent losses and real losses, Malaysia was recorded losses estimated at
5,929 million litres per day (MLD) of treated water. The existing system are still lacking
abilities to monitor and detect failure throughout water supply system effectively. The
purpose of this project is to help utilities staff to make better decision making with the
help of data analytics model. This project also suggest to build a predictive model to
identify future failure in the system before it happens and losses occurs.