Itron News
Itron Named in 2021 Gartner<sup>®</sup> Market Guide for Meter Data Management
January 05, 2022
As a trusted, proven leader in meter data management (MDM), Itron manages data from more than 50 million meters across 106 energy and water companies on six continents.
Itron Enterprise Edition Meter Data Management (IEE MDM) is a meter data management system (MDMS) for smart utilities and cities around the globe with an enterprise-wide, highly-scalable MDMS architecture. The solution provides interval, register and event data for residential, commercial and industrial customers. IEE MDM is part of the IEE suite of products, which supports a variety of analytics use cases, as well as customer engagement and curtailment management. In addition to the metering functionalities, IEE MDM provides data analytics reporting capabilities and offers enhanced capabilities to manage settlement data.
We are excited to share that we were recently cited as a Representative Vendor in the Gartner Market Guide for Meter Data Management (login required), which provides insight into the MDM market as well as on MDM solutions providers.
Key findings of the guide include:
- Metering has evolved from being a back-office component of revenue cycle processing (meter to cash) to an enterprise function that supports multiple use cases such as product innovation, customer segmentation and consumer/prosumer integration into energy markets. The trend toward smaller consumption intervals and more frequent meter reads opens the opportunity to use MDM data as a proxy for distribution SCADA to support network modernization initiatives.
- The meter data management (MDM) market has matured, and it is becoming a replacement market. Buyers are now looking for extended capabilities, improved performance and composable architecture.
- MDM is a vertical version of an IoT platform built specifically for commodity metering. MDM vendors are extending ingestion capabilities beyond meters to other types of sensors aspiring to become generic IoT platform providers, while IoT platform vendors are eyeing the utility market to verticalize their offering for utility needs.
- Availability of accurate, low-latency granular consumption data ingested, persisted and disseminated by MDM is critical for utility digital transformation.
To learn more about our meter data management system (MDMS) for smart utilities and cities around the globe, visit Itron.com.
Gartner, Market Guide for Meter Data Management, Zarko Sumic, Lloyd Jones, December 2021. GARTNER is the registered trademark and service mark of Gartner Inc., and/or its affiliates in the U.S. and internationally and has been used herein with permission. All rights reserved. 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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FTL stack trace ("~" means nesting-related):
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2 webContentData = jsonFactoryUtil.createJSONObject(author.getData())
3 classPK = webContentData.classPK
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9categories=authorContent.taxonomyCategoryBriefs
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12authorCategoryId = "0"
13/>
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35
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65 </#if>
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The following has evaluated to null or missing:
==> authorContent.contentFields [in template "44616#44647#114455" at line 9, column 17]
----
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)??
----
----
FTL stack trace ("~" means nesting-related):
- Failed at: contentFields = authorContent.content... [in template "44616#44647#114455" at line 9, column 1]
----
1<#assign
2 webContentData = jsonFactoryUtil.createJSONObject(author.getData())
3 classPK = webContentData.classPK
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7authorContent = restClient.get("/headless-delivery/v1.0/structured-contents/" + classPK + "?fields=contentFields%2CfriendlyUrlPath%2CtaxonomyCategoryBriefs")
8contentFields = authorContent.contentFields
9categories=authorContent.taxonomyCategoryBriefs
10authorContentData = jsonFactoryUtil.createJSONObject(authorContent)
11friendlyURL = authorContentData.friendlyUrlPath
12authorCategoryId = "0"
13/>
14
15<#list contentFields as contentField >
16 <#assign
17 contentFieldData = jsonFactoryUtil.createJSONObject(contentField)
18 name = contentField.name
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22 <#assign authorImageURL = contentField.contentFieldValue.image.contentUrl />
23 </#if>
24 </#if>
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30 </#if>
31 </#list>
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33 <#if name == 'authorDescription'>
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38 <#if name == 'authorJobTitle'>
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