EMA IT & Data Management Research, Industry Analysis & Consulting

IT Leaders Must Establish a Network Data Architecture Practice

By Shamus McGillicuddy on Aug 4, 2026, 1:23:14 PM

Network data quality and authority have been problems for a very long time, and IT organizations can no longer afford to ignore the issue. Enterprise Management Associates (EMA) recommends that CIOs establish a network data architecture team and give it the budget and authority needed to improve the data that IT organizations rely on for day-to-day network operations.

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Network Engineers: Today’s Endangered Species

By Shamus McGillicuddy on May 6, 2026, 1:55:46 PM

The talent pipeline for network engineering and operations teams is running dry. AI might soften the pain of this people shortage, but ultimately it could make things worse.

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Many Network Engineers Want DDI Vendors to Add Agentic AI Features

By Shamus McGillicuddy on Mar 30, 2026, 2:36:46 PM

It comes up in many conversations I have with network engineers and architects these days. They want AI-enhanced management tools.

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NetOps Teams Consolidate Tools, But Sprawl Persists

By Shamus McGillicuddy on May 14, 2024, 3:16:38 PM

IT organizations have always relied on multiple tools to manage and monitor their networks. This reality is a legacy of the evolution of network management tools. Initially, vendors offered point products that solved very narrow sets of tool use cases like device discovery, device metric collection, config management, traffic monitoring, and so on. Network engineers needed a sprawling toolset to address all aspects of operations.

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Is Triggered or “Smart” Packet Capture a Foolproof Alternative to Always-On PCAP?

By Shamus McGillicuddy on Mar 22, 2024, 11:20:26 AM

To offer more affordable and compact solutions, some solution providers are pitching triggered or “smart” packet capture solutions as an alternative to always-on capture.

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EMA Asked Network Pros: What Do Network Automation Vendors Need to Know About Your Challenges?

By Shamus McGillicuddy on Feb 15, 2024, 9:34:49 AM

I will soon publish new market research about enterprise network automation strategies. The report is based on a survey of 350+ IT professionals and one-on-one phone interviews with a dozen experts from a variety of well-known enterprises, universities, and government entities. 

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How to Mitigate Multi-Cloud Networking Complexity

By Shamus McGillicuddy on Feb 22, 2023, 1:08:03 PM

This is a sponsored blog post.

With most companies now operating in multiple cloud providers, network and security complexity are increasing. For instance, 96% of multi-cloud enterprises are using more than one networking vendor across their cloud estates, according to new research from Enterprise Management Associates (EMA).

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Graphiant: A Vendor to Watch

By Shamus McGillicuddy on Sep 8, 2022, 12:16:28 PM

The WAN edge is becoming more distributed and dynamic, which is overburdening IT organizations that are already at a breaking point. Software-defined WAN technology has solved some of the issue, but they haven’t gone far enough. The cloud, the Internet of Things (IoT), and the work-from-home (WFH) revolution demand something more.

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How to Identify the Ideal Network Automation Solution

By Shamus McGillicuddy on Apr 27, 2022, 9:00:18 AM

Data center network automation delivers four primary benefits to a business, according to Enterprise Management Associates research: operational efficiency, reduced security risk, improved compliance, and network agility.

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NetOps and SecOps Partnerships Flourish With Modern DDI Technology

By Shamus McGillicuddy on Nov 17, 2021, 8:50:01 AM

More than 75% of enterprises are reporting increased collaboration between their NetOps teams and SecOps teams , according to EMA's new research on NetSecOps partnerships. Digital transformation is a significant driver of this collaboration. About four out of five enterprises reported that NetSecOps collaboration is in response to public cloud adoption, work-from-anywhere initiatives, data center modernization, the internet of things, and edge computing.

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