Invest in the Power of Predictive Analytics for better Water Management. Indeed, asking water utility companies to cut leakages remains always a delicate business case. Managing hydraulic resources still provokes much debate. In a world threatened by a severe water crisis, data analytics is playing a crucial role to monitor the industry.
1/ How Can Data Mining Help Us to Save Water ?
Since 2012, Steps, in cooperation with international business partners, has started to elaborate predictive data analysis for governments to spot water leakages and detect anomalies in the distribution process. These business solutions are a great asset to modernize water utilities all over the world. These operations contributed to the reduction of costs and time.
The evolution of data science brought about tremendous change in the way governments and private stakeholders tackle the distribution of water. For instance, digging holes and operating in extended construction sites is costly and time-consuing. So, water utility providers turned to the predictive power of data. Steps analysts invested their expertise to collect data and work on it to elaborate predictive business reports. These documents are the key to control water management from its first phase to reaching consumers.
2/ How Do We Operate through our Data Science Strategy ?
Our strategy adopted an early leak identification solution that encompasses a variety of tasks. Thanks to this method, we worked on cutting opertaing costs and meeting water leakages in real-time. Thanks to this new data intelligence solution, we are providing better services for our clients. By this innovatory technique, we are able to prevent the customers’ outbursts over frequent water shortages and misuse of natural resources. Our project, orchestrated with the consistent assistance of our business partners, is to increase analytical capability using existing data to get early event warnings and see what we have been unable to visualise before.
3/ What Are our Steps to Take Care of your Data?
The early identification solution ensues the collection of unstructured data, the cleansing and the scientific analysis of it. These digital alerts are based around customized parameters for a quick detection of problems. Therefore , the automated monitoring of flows and pressures in the clean water distribution system allow the system to check for anomalies. Such as a sudden drop in pressure. Indeed, an increase in flow at a meter, or chain of meters, may indicate a leak will bring such events to the attention of the specialized staff.
Applying data-based prediction is a great opportunity to preserve precious natural resources as water.
We work endlessly to use science and IT solutions to sustain development and create a better world for future generations. Our engineers are harnessing the power of predictive analytics to manage uncessary water losses and provide a better quality of services. we developed algorithms to predict unusal flow of water and potential leaks. Thanks to these operations, relevent technical teams are mobilized to fix anomalies and prevent late intervenetion in the water distribution. With the assistance of this BI solution, we are working on minimising pump usage and therefore energy consumption. For more details on our project, please visit: steps.tn
