Case Study – Thames Water Utilities
- IBM SPSS Modeler
Thames Water Utilities Ltd.
Predictive modeling used to help protect the environment and save costs
Reading-based Thames Water Utilities Ltd. (TWUL) is a private utility company responsible for public water supply and wastewater treatment in large parts of Greater London and other areas of the United Kingdom.
Thames Water Utilities Ltd. in the United Kingdom needed to understand the relationship between flooding and pollution incidents in the utility holes in its wastewater network to create a cleaner environment and avoid costly leakages, unsavory publicity and dissatisfied customers.
The company established a predictive model to analyze incident data and identify the utility holes that are most likely to flood and cause pollution problems, especially holes with a history of flooding or located near watercourses. Targeted access points are now undergoing preventive maintenance, ranging from cleaning pipes to replacing water mainlines.
Predictive modeling yields a tenfold increase in the precision of identifying maintenance holes most at risk of flooding and causing a pollution incident and prioritizes them for preemptive maintenance. Maintenance of 2,000 utility holes is expected to prevent about 120 pollution incidents over a two-year period. Financial benefits, realized through a reduction in regulatory fines, are estimated to be USD4.7 million per year, a one-third reduction.
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