Itron News
Itron Named in 2019 Gartner Market Guide for Meter Data Management
January 14, 2020
As a trusted leader in the meter data management space, Itron has 92 utility companies currently using Itron Enterprise Edition Meter Data Management (IEE MDM) in production, serving cumulatively more than 45 million meters (75% of which are interval meters).
IEE MDM is part of the Itron® Eyva™ outcomes portfolio and supports a variety of use cases such as customer engagement and curtailment management. This solution is a critical piece for smart cities and utilities looking to extend data for innovative growth, centralize data collection and distribution into a single repository to help drive operations and analytics, and meet data quality standards.
With so many important use cases, we are delighted to announce that we were recently cited as a representative vendor in the Gartner Market Guide for Meter Data Management, which provides insight into the MDM market as well as on MDM solutions providers.
Key findings of the guide include:
To learn more about our meter data management system (MDMS) for smart utilities and cities around the globe, visit Itron.com.
Market Guide for Meter Data Management, December 2019. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
IEE MDM is part of the Itron® Eyva™ outcomes portfolio and supports a variety of use cases such as customer engagement and curtailment management. This solution is a critical piece for smart cities and utilities looking to extend data for innovative growth, centralize data collection and distribution into a single repository to help drive operations and analytics, and meet data quality standards.
With so many important use cases, we are delighted to announce that we were recently cited as a representative vendor in the Gartner Market Guide for Meter Data Management, which provides insight into the MDM market as well as on MDM solutions providers.
Key findings of the guide include:
- The MDM market is maturing rapidly, with a number of commercial off-the-shelf (COTS) products being offered both globally and in different regional markets.
- Metering has evolved from being just a component of the revenue cycle processing (meter to cash) to an enterprise function that supports multiple core processes such as asset management, commodity management and customer management.
- Access to accurate, low-latency and granular consumption data is critical for utility digital transformation.
- MDM is the IT component of smart metering (aka Advance Metering Infrastructure or AMI), which is essentially a vertical version of an Internet of Things (IoT) platform. Consequently, MDM vendors are aspiring to become more generic IoT platform providers, while IoT platform vendors are eyeing the utility market to address vertical meter consumption needs.
To learn more about our meter data management system (MDMS) for smart utilities and cities around the globe, visit Itron.com.
Market Guide for Meter Data Management, December 2019. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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3 classPK = webContentData.classPK
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9categories=authorContent.taxonomyCategoryBriefs
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13/>
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Tip: It's the step after the last dot that caused this error, not those before it.
----
Tip: If the failing expression is known to legally refer to something that's sometimes null or missing, either specify a default value like myOptionalVar!myDefault, or use <#if myOptionalVar??>when-present<#else>when-missing</#if>. (These only cover the last step of the expression; to cover the whole expression, use parenthesis: (myOptionalVar.foo)!myDefault, (myOptionalVar.foo)??
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FTL stack trace ("~" means nesting-related):
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2 webContentData = jsonFactoryUtil.createJSONObject(author.getData())
3 classPK = webContentData.classPK
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8contentFields = authorContent.contentFields
9categories=authorContent.taxonomyCategoryBriefs
10authorContentData = jsonFactoryUtil.createJSONObject(authorContent)
11friendlyURL = authorContentData.friendlyUrlPath
12authorCategoryId = "0"
13/>
14
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16 <#assign
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18 name = contentField.name
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23 </#if>
24 </#if>
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