ESG Complete Survey Results: SOC Modernization and the Role of XDR

Research Objectives

Examine the people, processes, and technology supporting the modernization of security operations. Identify key value points, the metrics to back up those value points, and what’s expected from both products and managed services for XDR and SOC modernization. Determine current perception and role of XDR as a component of security operations modernization efforts. Explore strategies used to automate triage, speed investigations, and help organizations find unknown threats.

Topics: Cybersecurity

ESG Complete Survey Results: The Role of ESG Programs in IT Decision Making

Research Objectives

Measure the impact of environmental, social, and governance (ESG) initiatives on the IT evaluation and purchase process. Identify the groups within organizations most responsible for adhering to ESG requirements as part of IT purchases. Highlight the costs and benefits that organizations have experienced as a result of complying with ESG initiatives. Determine which vendors/brands are perceived as strong in terms of ESG and which are viewed as laggards.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure Cloud Services & Orchestration Systems Management End User Computing

ESG Brief: Movement Across the Distributed Cloud Is a Regular Occurrence

Abstract:

As enterprises digitally transform and IT environments become more dispersed across multiple public clouds and on-premises data centers, the process of moving data, applications, and workloads to and from various locations quickly becomes regular practice. Moving just one application to and from a location can be difficult, time-consuming, and expensive, in most cases requiring a week or more. For large environments, the costs can be significant. As a result, organizations must take a more deliberative, evaluative approach to moving data and applications when migrating to the cloud and across clouds.

Topics: Data Platforms, Analytics, & AI Converged Infrastructure Cloud Services & Orchestration

ESG Brief: The Data Center Lives On, but Its Future Will Be Very Different

Abstract:

Reports of the data center's demise have been grossly exaggerated. On-premises data centers are alive and thriving, with the average number of on-premises locations under management expected to increase over the next five years. The future of the data center, however, will look very different from today. Enterprises in the throes of modernizing their application infrastructure and migrating to the cloud are increasingly realizing they also need a cloud-like experience for on-premises data centers and improved public cloud connectivity with consumption-based procurement models.

Topics: Data Platforms, Analytics, & AI Converged Infrastructure Cloud Services & Orchestration

ESG Research Report: The Role of ESG Programs in IT Decision Making

Research Objectives

In order to gain insight into how environmental, social, and governance (ESG) initiatives are impacting IT purchases, Enterprise Strategy Group (also ESG) surveyed 400 IT professionals at organizations in North America (US and Canada), UK, Singapore, Australia, and New Zealand involved in IT product and service purchase decisions.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure Cloud Services & Orchestration

ESG Infographic: The State of Digital Ecosystems at the Edge

Abstract:

The need to collect and analyze data generated at edge locations is playing an increasingly important role in enabling organizations to improve quality, deliver enhanced experiences (both customer and employee), and gather deeper insights into the business. To understand how IT organizations are leveraging and optimizing their use of important edge sites, ESG surveyed IT professionals responsible for their organization’s edge computing applications, tools, policies, and procedures.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Infrastructure, Cloud and DevOps

ESG Research Report: The State of Digital Ecosystems at the Edge

Research Objectives

Organizations are distributing applications across multiple public cloud environments and edge locations. This is driven by the need to collect and analyze the data generated at these remote sites to enable organizations to improve quality, deliver enhanced experiences (both customer and employee), and gather deeper insights into the business. Because the “edge” can be defined in many ways depending on several factors, such as company size and industry, organizations employ a range of strategies and an ecosystem of partners that includes cloud service providers, telecommunication companies, colocation providers, and even traditional technology vendors to ensure robust edge computing environments that deliver critical business insights.

Topics: Cybersecurity Networking

ESG Infographic: The State of DataOps

Abstract:

Between data quality issues, distributed data, over-burdened teams, rising costs, and increased risk, the complexity of today’s data ecosystem hinders democratization of data and analytics. This is a big reason organizations are turning to DataOps, an agile, automated, and process-oriented methodology used by data stakeholders to improve the quality, delivery, and management of data and analytics.

Topics: Data Platforms, Analytics, & AI Converged Infrastructure Cloud Services & Orchestration

ESG Complete Survey Results: Distributed Cloud Series: Digital Ecosystems

Research Objectives

Understand the current state of the edge computing environment, including budgets and prioritization. Determine the key drivers, challenges, benefits, and use cases for edge computing. Get an accurate picture of edge infrastructure, network, security, and data environments. Identify vital players and their roles/influence for enabling edge environments.

Topics: Networking

ESG Complete Survey Results: The State of DataOps

Research Objectives

Determine the extent to which organizations have shifted power to new personas who influence and make decisions when it comes to utilizing an analytics platform that enables rapid and reliable insight. Understand the tipping point for all data stakeholders, including data engineers, IT, developers, and end-users who enable the democratization of data and analytics platforms to the business. Gain insights into what matters most to businesses and end-users based on where they are in their data-centric journey, from data engineering and tooling to automation and collaboration. Gauge buyer preferences for different capabilities, features, and guidance to help enable data-driven success.

Topics: Data Platforms, Analytics, & AI