From frequent attacks on critical systems to major data recovery issues and financial impacts, ransomware consequences refuse to be ignored.
See the data behind these trends and more with this Enterprise Strategy Group Infographic, 2022 Ransomware Landscape.
The ransomware threat is a top-of-mind issue for so many organizations; however, few feel totally prepared for an attack. Without an industry reference architecture or blueprint for ransomware protection, organizations are building their own strategies and processes to respond. But with ransomware protection included with so many different security and data protection solutions, many are confused about the scope of what is to be included, who is responsible for the implementation, and who needs to be involved in the conversation.
In order to connect the dots between those organizations that feel most prepared and the specific strategies and plans they are using to get there, with an eye on defining best practices, ESG surveyed 620 IT and cybersecurity professionals personally involved with the technology and processes associated with protecting against ransomware attacks at midmarket and enterprise organizations in North America and Western Europe.
For more information on this research, please visit www.esg-global.com/ransomware.
I am at VeeamON 2022 in Las Vegas this week attending the event in person. I had the great opportunity to spend time with a few key executives from Veeam and discuss their latest release and plans for the future.
Discover why IT organizations consider the cloud critical to fueling data-driven success with this Enterprise Strategy Group Infographic, Cloud Analytics Trends.
In order to gain insight into the current ERP landscape, including upgrade plans, business drivers, key features, purchase influencers, and deployment models, among others, ESG surveyed 193 qualified respondents at organizations in North America (US and Canada) personally responsible for their organization’s ERP systems and with significant knowledge of the associated plans and budgets.
Building on existing trends favoring digital transformation initiatives, the pandemic sparked a further shift toward data-centric business models, with virtually all enterprises now using data to support the business and a remarkable one in five claiming data as their core business. To treat data like the business asset it has become, it must be de-risked, protected, made compliant, and leveraged. This will require IT professionals and vendors alike to develop intelligent data management strategies that not only preserve and protect data but also ready it for use in achieving business growth objectives.
Driven by data’s rapid growth, the menace of cyber-threats and the enterprise push for digital transformation, among other factors, intelligent data management is fast becoming a priority for data protection and storage professionals. More than two-thirds rank it among their organizations’ top five data protection and management priorities, a dramatic change from two years ago when only a third of organizations considered intelligent data management a top priority. Among digitally mature organizations, adoption is even higher, suggesting that interest in this approach will continue to grow as digital laggards achieve digital transformation maturity. One in five organizations believe intelligent data management will replace their overall data protection strategies. Learn why now is the time to shift to intelligent data management.
Nearly 80% of organizations require data to be made compliant with external mandates or internal standards before it’s reused for non-production purposes. Most also sanitize such data, and increased confidence levels about passing compliance audits are especially pronounced among those that do. But many organizations don’t sanitize or apply compliance processes to all of their secondary data, and these partial approaches can limit the effectiveness of their de-risking efforts and leave them exposed to potential compliance issues.
Data classification is becoming more pervasive in organizations, and efforts to reuse secondary data are improving. While data reuse generates a broad set of business benefits, it also creates some challenges both for IT departments and vendors that offer intelligent data management tools. But there’s a strong correlation between successful data reuse and data classification, as well as other key elements of intelligent data management.
The IT ecosystem is overburdened by seemingly endless new governmental regulations and today’s increasingly distributed environments.
See the data behind these trends with this Enterprise Strategy Group Infographic, The State of Data Privacy and Compliance.
With increasingly sophisticated cyber-attacks on the rise, ensuring the recoverability of the deluge of data pouring into corporate environments is a concern for IT leaders. In addition to protecting endpoint devices, IT decision makers expect to make the most significant data protection investments in technologies that safeguard data and applications residing on public cloud infrastructures.
As organizations increasingly turn to data to enable rapid business innovation, it’s no surprise that a majority of them are spending more on analytics-related data initiatives. Such organizations are looking to empower more decision makers and democratize the use of data, analytics, and AI, but many still need to invest in the technologies and processes necessary to enable the execution and ongoing support of these data priorities.