Analyst Report

Data in Motion: Orchestrating File Transfers and Data Pipelines in the Cloud Era

In a world where digital transformation drives every aspect of business, managing data across complex, multi-cloud environments is more critical than ever. "Data in Motion" research offers an in-depth exploration of the latest trends, challenges, and technologies that are reshaping how enterprises orchestrate file transfers and data pipelines. Authored by Dan Twing, president and COO of Enterprise Management Associates (EMA), this report is a must-read for IT executives, data architects, and cloud strategists looking to build resilient, compliant, and scalable data movement strategies.

What You’ll Discover in This Report

Gain actionable insights and data-driven strategies on topics including: 

  • Emerging Trends in Data Movement 

Discover the pivotal shifts transforming enterprise data transfer, especially the integration of multi-cloud environments and the impact of digital transformation on data flow requirements. 

  • The Expanding Role of Workload Automation (WLA) and Managed File Transfer (MFT) 

Learn how WLA and MFT technologies are evolving to meet growing demands for efficiency, compliance, and scalability in enterprise data transfer workflows. 

Key Findings from the EMA Research

This report unveils the intensifying demands digital transformation places on data movement and file transfer solutions, with growing data volumes and the necessity for real-time data access pushing organizations toward more advanced and resilient solutions. Compliance and security also emerge as top priorities, as organizations strive to meet stringent regulatory standards. Additionally, real-time data integration is gaining traction, empowering businesses to enhance agility and responsiveness in a fast-paced, data-driven landscape. 

Download the Report Now

Download "Data in Motion" research to explore these insights and strengthen your data movement capabilities in an increasingly digital and cloud-driven era. 

Further Resources

Blog Article

Does Mainframe Security Have an IWS Blind Spot?

The IBM Z Workload Scheduler (IWS) orchestrates business-critical processing at massive scale, yet it rarely appears in mainframe security conversations focused on access control and perimeter defense. Someone with legitimate scheduler access, such as a compromised account, a malicious insider, or a mistaken administrator, can alter or delete scheduling definitions without tripping any alarm, and standard logs record that a change happened without preserving a way to reverse it. In this article, we examine this challenge and present a solution using Beta Systems' IWS/Audit.
Blog Article

The Road to Enterprise Orchestration

Enterprise IT has never been more complex, and automation, in particular, continues to evolve rapidly as we head toward the age of agentic AI. An effective organization must coordinate workloads across on-premises infrastructure, multiple cloud providers, SaaS applications, Kubernetes clusters, APIs, and AI-powered services. In today’s business climate, IT processes can no longer run optimally on a single platform; they must span the entire technology ecosystem. Traditional job scheduling, therefore, is no longer enough in this environment. Instead, IT teams need to look towards a future of Enterprise Orchestration. This new approach coordinates entire business processes across the digital enterprise instead of automating only single tasks. In this article, we explore the evolution of enterprise automation and the road to enterprise orchestration.
Blog Article

DevOps Workflow Automation Explained in 2026

What happens at your company when a deployment fails at 6 a.m., and the engineer who owns that pipeline is asleep? For most teams, the honest answer involves a Slack alert, a scramble, and a manual fix. DevOps workflow automation is the practice of removing that manual dependency by letting scheduled and event-driven triggers handle builds, tests, deployments, and recovery on their own. Below, we break down what it actually involves, why it matters more in 2026 than it did even two years ago, the tools teams use to implement it, and how to roll it out without breaking what already works.