The Challenge
Thames Water’s Data Factory was already pulling insights and forecasts from the company’s data, but the underlying information was complex, unwieldy and scattered across different locations. This infrastructure could not power the kind of smart, AI-driven reporting Thames Water required to identify problems and save money. Without a clean, joined-up foundation, it was impossible to use AI to its full potential, and the business couldn’t get the high-quality insights it needed.
Tecknuovo’s Solution
We helped Thames Water by:
- Reshaping its information from the ground up so it could properly support AI and advanced analytics, including working out what “good” looked like and rebuilding data accordingly.
- Building an industry-first, award-winning digital twin of Thames Water’s clean water network, a live, AI-powered virtual model of the real thing. It won at the UK IT Industry Awards and has set the benchmark for the rest of the industry to follow.
- Upskilling Thames Water’s people on how to work with data and modern ways of building and running software, so they can keep the delivery momentum going.
- Building 15 AI-powered tools across the platform to automatically spot blockages and leaks before they cause problems.
- Redesigning how information flows in and out of Thames Water’s central data store, so everything runs more smoothly and reliably.
The Results
Our work has enabled Thames Water to:
- Save up to one million litres of water by using AI and machine learning to spot leaks early and fix them before they become bigger problems.
- Find leaks and blockages faster, heading them off before they impact customers.
- Speed up day-to-day work across Thames Water’s Data Factory, from five days down to three.
- Cut £20m in costs through an upgrade programme at Beckton Sewage Treatment Works.
- Build a new model for managing supply and demand, which helped keep London’s water flowing through the pandemic.
- Dramatically improve the quality and amount of reporting Thames Water can do, thanks to the rebuilt data foundation that now properly supports AI-driven insight.
