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What is UST IQ?

UST IQ for AMI Analytics revolutionizes the data engineering workflow by seamlessly managing the ingestion of extensive, high-frequency metering data and providing detailed insights, thereby enabling AMI business operations to focus on critical decision-making rather than IT infrastructure issues. It adeptly gathers both real-time and historical data, encompassing meter readings, alarms, events, GIS details, as well as data from external sources, converting this information into formats that are ready for querying through a cloud-native, microservices framework. This architecture facilitates self-service querying, location-specific and role-oriented analytics, and anticipatory exception management, equipping operations teams with vital insights into network irregularities, meter efficiency, outages, and environmental factors including seismic activity and weather conditions. Consequently, it improves the capacity to optimize field crew allocation, prevent costly failures, and enhance restoration processes. The system adeptly processes an immense volume of data, managing hundreds of millions of records on a daily basis through low-latency micro-batching, usually within 5-minute intervals, while also including capabilities such as 30-day rolling averages and alert-triggered notifications to bolster operational efficiency. This thorough strategy not only speeds up data processing but also guarantees that actionable insights are available as required, ultimately driving enhanced operational effectiveness and facilitating better strategic planning. Additionally, the integration of advanced analytics promotes a proactive approach to managing utilities, ensuring that businesses can respond swiftly to emerging challenges.

What is Landis+Gyr Gridstream MDMS?

Landis + Gyr’s Gridstream Meter Data Management System (Core MDMS) is engineered to validate, manage, and supervise data gathered from advanced metering and smart grid technologies, while also preserving vital customer and meter metadata alongside usage and diagnostic details that enhance analytics and operational processes. It employs Validation, Estimation, and Editing (VEE) protocols to uphold data integrity, ensuring that any anomalous readings are identified for further examination or estimated as necessary, and features for virtual metering enable the computation of both aggregated and net energy pertinent to renewable energy projects. The system adeptly accommodates a variety of rate structures through billing determinants that leverage both actual and calculated data values. Event administration and exception management tackle flags and discrepancies in validation that cannot be rectified automatically via VEE protocols. Furthermore, workflow orchestration proficiently oversees interconnected transactions with detailed tracking and reporting functionalities, while automated group management facilitates collaborative actions based on device technology, rate categories, or geographic areas, further optimizing operational efficiency. This extensive approach guarantees that organizations can effectively leverage their data to support strategic decision-making, ultimately leading to improved performance and sustainability in energy management. As a result, companies that utilize this system are better equipped to adapt to the evolving demands of the energy landscape.

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

UST

Company Location

United States

Company Website

www.ust.com/en/what-we-do/digital-transformation/data-analytics/ust-iq/ami

Company Facts

Organization Name

Landis+Gyr

Date Founded

1896

Company Location

Switzerland

Company Website

www.landisgyr.com/product/core-mdms/

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