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TheStreet Open House

IBM Analytics Help Arad Group Manage Big Data For Water Meter Solutions

Stocks in this article: IBM

Established more than 70 years ago, Arad Group processes water consumption data for hundreds of millions of records each day, based on tens of millions of meters in over 50 countries across the globe. That is an estimated 5 billion gallons of water measured each day – enough to fill more than 50,000 swimming pools. The Big Data solutions available from IBM were an ideal fit to boost the data management capabilities in the company's field-proven automated meter systems.

"Highly specialized analytics from IBM provide an additional layer of insight into our technology, allowing us to provide utilities and water companies worldwide with the most advanced solutions and services to reduce water costs, improve customer service, and provide higher efficiency of water usage," said Gabi Yankovitz, CEO of Arad Group.

Developed by IBM scientists in Israel, Big Data analytics identify problems and patterns and differentiate between issues such as leaks and excessive use of water that could result in the waste of millions of gallons of water. It also provides water utilities with insight and helps identify when low or no water use signals a problem.

Reducing the number of false alerts helps technicians know when meters need replacement or repair. For example, when a utility company observes water consumption that is zero or almost zero over a long period of time, a technician is often sent to examine the situation. While this could indicate a broken or faulty meter, it could also be the result of something as common as a family vacation—in which case sending a technician is a waste of time and money.

The IBM analytics tool increases the confidence of differentiating between meters that are truly faulty and false alarms. Field tests have already shown a potential reduction of 50 percent in the number of technician visits, saving valuable time and human resources to address conservation and water management.

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