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Manage Large Volumes of Data

Challenge

Collecting metering-based data is one thing; putting it into the hands of people who can use it to create value is another challenge altogether. The benefits of collecting daily and interval meter reads can easily be offset by the demands of integrating meter data from multiple meter types, validating and securing the data, and sharing the data with other resources and departments within the utility. Add the need to collect, store, and provide access to customer, contract and operational data, and the challenge grows exponentially for utility IT departments.

Solution

Itron offers a single repository for meter data that can provide the basis for meter data management and information distribution for utilities and energy marketers. Choose from two meter data management solutions: Itron Enterprise Edition (IEE) Meter Data Management, a software platform, for a broad range of residential and C&I customers; and MV-90xi, an industry-leading software application, for managing the kind of complex multi-vendor interval data that is collected from large C&I customers.

Itron’s meter data management solutions provide a system of record for metered consumption in an open and scalable platform. System of record means that the data contained in the warehouse contains actual reads, an audit trail of the validation-editing-estimation (VEE) process, and the final consumption data that is used for revenue billing calculation. The centralized meter data repository provides internal users with reliable meter data, usage information, reports, analysis tools and accessible interfaces for customization.

Benefits

  • Reduces cost and time to gather, manipulate and reconcile meter data
  • Provides central repository of energy data accessible to multiple users
  • Streamlines data collection of meter data from diverse sources for many users
  • Combines data and systems for efficient reporting and analysis purposes
  • Addresses the costly habit of individual departments sourcing their own solutions
  • Reduces the potential for errors and confusion as the frequency of data collection and intervals increase
  • Mitigates the political issues of data ownership and reluctance to share it with other stakeholders
  • Provides a data platform for advanced solutions such as forecasting, distribution systems optimization and design and load management
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