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Demand Is Growing for Robust, Scalable and Secure Data Movement Strategies

"As organizations continue to navigate their digital transformation journeys, the need for efficient, secure, and scalable data movement strategies has never been more critical. Our latest research highlights the pivotal roles of workload automation, managed file transfer, and iPaaS technologies in addressing the complexities of modern IT environments," said Dan Twing, President and COO of Enterprise Management Associates (EMA™), referring to a new report, Data in Motion: Orchestrating File Transfers and Data Pipelines in the Cloud Era.

In an era when enterprise IT landscapes are continually evolving, the strategic movement of data has become a cornerstone of maintaining agility, competitive edge, and operational efficiency. As businesses pivot toward a data-centric model, the ability to transfer data efficiently and securely across multifaceted and distributed systems has risen to paramount importance. With the integration of cloud services and the imperative of digital transformation, managing the flow of data within and across organizational boundaries has become exponentially complex and critical.

Report findings include:

■ 88% of survey respondents agree or strongly agree that digital transformation is requiring more from file transfer and data moving software.

■ The burgeoning data volumes, reported by 42%, along with the need for streaming data, underscore the escalating demand for more sophisticated, robust, and scalable file transfer and data moving solutions.

■ The role of WLA in orchestrating data movement is expanding, with 80% of survey participants indicating the use of WLA in file transfer activities.

■ 72% of respondents have adopted real-time data integration, reflecting the growing necessity for data to be instantly accessible, fostering nimbleness in business operations.

■ 90% of respondents deem compliance requirements extremely or very important.

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Demand Is Growing for Robust, Scalable and Secure Data Movement Strategies

"As organizations continue to navigate their digital transformation journeys, the need for efficient, secure, and scalable data movement strategies has never been more critical. Our latest research highlights the pivotal roles of workload automation, managed file transfer, and iPaaS technologies in addressing the complexities of modern IT environments," said Dan Twing, President and COO of Enterprise Management Associates (EMA™), referring to a new report, Data in Motion: Orchestrating File Transfers and Data Pipelines in the Cloud Era.

In an era when enterprise IT landscapes are continually evolving, the strategic movement of data has become a cornerstone of maintaining agility, competitive edge, and operational efficiency. As businesses pivot toward a data-centric model, the ability to transfer data efficiently and securely across multifaceted and distributed systems has risen to paramount importance. With the integration of cloud services and the imperative of digital transformation, managing the flow of data within and across organizational boundaries has become exponentially complex and critical.

Report findings include:

■ 88% of survey respondents agree or strongly agree that digital transformation is requiring more from file transfer and data moving software.

■ The burgeoning data volumes, reported by 42%, along with the need for streaming data, underscore the escalating demand for more sophisticated, robust, and scalable file transfer and data moving solutions.

■ The role of WLA in orchestrating data movement is expanding, with 80% of survey participants indicating the use of WLA in file transfer activities.

■ 72% of respondents have adopted real-time data integration, reflecting the growing necessity for data to be instantly accessible, fostering nimbleness in business operations.

■ 90% of respondents deem compliance requirements extremely or very important.

Hot Topics

The Latest

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...