ESG Research

Abstract:

Data protection technologies and processes mean nothing unless objectives are not only established and aligned with business and IT objectives, but also measured and improved over time. As organizations increasingly shift to more hybrid and data-intelligent infrastructures, understanding real-world data protection and availability SLAs is becoming more critical for both IT practitioners and the vendors that provide supporting technology.

In order to gain insight into these trends, ESG surveyed 378 IT professionals at organizations in North America (US and Canada) personally responsible for or involved in data protection technology and process decisions for their organizations, specifically those pertaining to the ability to meet SLAs associated with applications/workloads. This research aimed to understand the current state of end-users’ deployments, identify gaps, and highlight future expectations. Tolerance for downtime, downtime metrics, and real-world SLAs in the context of actual data loss were studied against the backdrop of availability technologies and methods, including hybrid environments.

Abstract:

ESG conducted a comprehensive online survey of IT professionals from private- and public-sector organizations in North America (United States and Canada) between March 20, 2020 and March 28, 2020. To qualify for this survey, respondents were required to be IT professionals responsible for data protection technology decisions, including those in place to ensure application SLAs are met.

This Master Survey Results presentation focuses on real-world SLAs and availability requirements, including tolerance for downtime, downtime metrics, and real-world SLAs in the context of actual data loss against the backdrop of availability technologies and methods.

Abstract:

The broad adoption of cloud services as a source of and repository for business-critical data is placing the onus on data owners to deliver on data protection SLAs for data and applications that are hosted in the cloud. Concurrently, on-premises backup and disaster recovery workloads are leveraging cloud destinations, resulting in hybrid data protection topologies with varying service levels, end-user tradeoffs, and opportunities. How are IT organizations utilizing cloud services as part of their data protection strategy today?

In order to get more insight into these trends, ESG surveyed 370 IT professionals at organizations in North America (US and Canada) responsible for data protection technology decisions for their organization, specifically around those data protection and production technologies that may leverage cloud services as part of the solution.

Abstract:

A chasm exists between traditional “dumb” data backup, in which data is only moved around but not leveraged to drive or support business outcomes, and data management, in which data is better understood and reused for other technical or business purposes. The data protection space is undergoing a fundamental shift from traditional backup and recovery with the emergence of more autonomous AI-based solutions.

In order to understand how this confluence of changes is creating a dichotomy between currently available solutions and end-users’ desired data protection state in the next few years, ESG surveyed 359 IT professionals at organizations in North America (US and Canada) responsible for data protection technology decisions for their organization.

Abstract:

ESG conducted a comprehensive online survey of IT and data protection professionals at private- and public-sector organizations in North America (US and Canada) between June 28, 2019 and July 21, 2019. To qualify for this survey, respondents were required to be IT decision makers currently responsible for or familiar with their organizations’ production storage and data protection mechanisms, as well as their organization’s approaches to facilitating data usage by primary and secondary beneficiaries.

This Master Survey Results presentation focuses on the transition from traditional data backup processes to data management strategies in which data is better understood and reused for other technical or business purposes.

Abstract:

The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. Often compared to GDPR, CCPA protects consumers from mismanagement of their personal data and gives them control over what data is collected, processed, shared, or sold by companies doing business in California.

The act represents one of the most sweeping acts of legislation enacted by a U.S. state to bolster consumer privacy. Like GDPR, the European privacy act, the California Consumer Privacy Act may be the beginning of stricter U.S. consumer privacy protections.

Abstract:

ESG’s data protection team delivers its 2020 predictions. The backup and recovery market is at full effervescence and at the cusp of many changes.

Abstract

Hadoop and NoSQL workloads are pervasive in production environments and require enterprise-class data protection, yet few data protection solutions offer such capabilities. That’s the problem Imanis Data is zooming in on. Imanis Data is demonstrating that it is squarely focused on product execution and is putting its B-round of $13.5 million from earlier this year to good use. The recent announcement of v 4.0 introduces many new data protection features, including some innovative machine learning-based capabilities.

Abstract:

The deadline for organizations to comply with GDPR (General Data Protection Regulation) has passed, and many organizations still don’t feel that they’re ready. The regulation has many implications for organizations’ data protection and security policies and procedures. The process of bringing your organization in line with the regulation will have many benefits beyond mere compliance, allowing you to improve your data classification, security, data privacy, and customer relationships.

This brief is free for download, compliments of the data protection team at ESG.

Abstract:

At its recent VeeamON user conference, Veeam unveiled its new vision and strategy based on the concept of “hyper-availability.” Veeam’s hyper-availability vision is supported by its “intelligent data management” architecture, designed to help the company attack the enterprise market while simultaneously continuing to grow its SMB and midmarket business.