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What is Orbit MDM?

The Orbit Meter Data Management (MDM) system acts as a middleware solution that connects meter data through the AMI framework and integrates it with the utility’s customer information system (CIS). Each year, Orbit MDM compiles over 3.6 million raw AMI reads from an individual meter, transforming this information into visual formats and concise customer usage summaries. Its powerful data management features enable users to retrieve both real-time and historical interval readings at intervals as brief as five minutes. This system is adept at addressing customer inquiries while effectively overseeing distribution assets such as meters and transformers. Users can easily navigate through different service types, including electricity, water, and gas, by selecting the relevant tab. Additionally, adjusting the displayed metrics for any specific year, month, or day is a straightforward process within the Orbit MDM platform. This system also ensures compatibility with all leading AMI vendor systems, allowing for a smooth integration experience for utilities. With its extensive range of functionalities, Orbit MDM significantly improves operational efficiency and enhances customer service for utility providers, making it an invaluable tool in the industry. Moreover, the ability to customize data views enhances user experience, further solidifying its role as an essential resource for utility management.

What is Gridstream MDMS?

The Gridstream MDMS is a highly efficient system designed on industry standards that carefully processes and prepares data for a variety of utility operations and programs. It employs interfaces based on standards, enabling smooth data integration from smart meter systems or other smart grid devices. Once this data is ingested, the MDMS processes and formats it, ensuring it is accurately contextualized for any back-office utility system. In addition, the Gridstream MDMS maintains the network connectivity model, allowing for effective load mapping while also storing essential non-billing information like voltage and amperage, thereby providing in-depth insights into the smart grid infrastructure. With its powerful analytical capabilities, the system can manage substantial amounts of register and interval readings, guaranteeing high-quality billing outputs. The workflows within the Gridstream MDMS prioritize efficient exception management and tackle events associated with the VEE process. Moreover, the system produces cleansed and structured billing determinants customized for each rate structure, which are then delivered to the utility’s CIS and/or billing applications, ultimately enhancing operational efficiency. This all-encompassing strategy not only simplifies utility processes but also bolsters improved decision-making founded on real-time data analytics. In doing so, it enables utilities to respond swiftly to changing operational demands and optimize their service delivery.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PCS

Company Location

United States

Company Website

pcs-csa.com/products-services/mdm-meter-data-management

Company Facts

Organization Name

Landis+Gyr

Company Location

United States

Company Website

www.landisgyr.eu/product/gridstream-mdms/

Categories and Features

Categories and Features

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