Advanced Analytics to Detect Pipe Breakages – our Water Utility case study
This water utility provides water and wastewater services to the state’s 1.75 million residents. This involves the maintenance of a vast range of vital assets. Like many organisations managing assets, this utility has begun focusing itself more towards preventative maintenance rather than responsive maintenance: predicting where maintenance is needed and addressing that need before it […]
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Smart Wastewater network – our SA Water case study
This solution enables greater customer service through better management of the wastewater assets through an industry-leading smart wastewater network management solution. It incorporates a leading edge architecture built on the Azure platform using key technologies including Databricks, IoT, Stream Analytics, App Service, and more. Read our case study here: Smart Wastewater network – our SA Water […]
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Networks Asset Data Mart – our Energy Infrastructure Provider case study
Exposé designed and developed a solution that saw an increasingly temperamental Networks Asset Analytical solution move to the Exposé developed Enterprise Analytics Platform. The solution now: • Allows staff to focus on business-critical tasks by utilising the data created by the system.• Reduces support costs due to the improved system stability.• Utilises the IT resources […]
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Water Consumption Demand Prediction – our SA Water case study
This case study shows how we replaced a global pipeline prediction system with a predictive solution based on Azure Machine Learning. Water consumption demand prediction is now highly accurate and it provides a much higher degree of flexibility and cost savings to SA Water. Read our case study here: exposé case study – SAWater Predictive
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Transmissions Dashboard – our Energy Infrastructure Provider case study
This Transmissions Dashboard solution we designed and developed for this national Energy Infrastructure Provider involved both a data platform and analytical dashboards. It reduced reporting turnaround potential by over 1000%, allowing staff to focus on business-critical tasks. It embedded a trusted source of truth and quality and consistency of analysis. It improved analytical agility and timely […]
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