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Analytics

Wake Electric Uses Sensus Data Driven Solutions to Meet Goals

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When rural North Carolina utility Wake Electric deployed the Sensus FlexNet communication network in 2012, it was able to improve billing accuracy and system management. While some utilities will use a network for one application, Wake Electric took it a step further to use its network to extend asset life and system design, enhance outage management and make other improvements.

Fountain Valley, California Beats Water Reduction Goal with Sensus Technology

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To combat water shortages caused by long-term drought, water conservation goals and water use restrictions have been common in many California cities. By using a smart water network, the local water utility in Fountain Valley was able to get citizens interested in conservation—and exceed the city's 20% water use reduction goal.

HydroPoint Shuts Down Water Waste with an Internet of Things Solution

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Not so long ago, landscape irrigation in homes and commercial properties was controlled by manual valves—with little regard for how much water was needed. HydroPoint Data Systems solution? An IoT machine-to-machine system to assess climate and water needs. Coupled with wireless connectivity from AT&T, Hydropoint's solution has saved clients billions of gallons of water and millions in related costs.

Data Management Backgrounder: What it is -- and Why it Matters

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You’ve done enough research to know that data management is an important first step in dealing with big data or starting any analytics project. But you’re not too proud to admit that you’re still confused about the differences between master data management and data federation. Read the backgrounder from Council Lead Partner SAS Institute for a quick lesson in data management strategies.

Understanding Data Streams in IoT

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The IoT promises to create a highly efficient world that demands constant analysis of the state of events based on the sensor and machine communications happening all around us. In its white paper, Council Lead Partner SAS Institute explores how to optimally manage and gain useful insights from the massive amounts of data sensors provide.

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