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.
Data Management, Analytics & AI
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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.
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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.
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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.
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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.
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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.
For more information or to discuss these findings with an analyst, please contact us.
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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.
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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.
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In order to gain insight into how public cloud computing services are impacting data analytics strategies, ESG surveyed 338 IT and data-centric decision makers at organizations in North America (US and Canada) with knowledge of or responsibility for their organization’s analytics initiatives and goals, including how these activities intersect with public cloud computing services.
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ESG conducted research on the state of data privacy, compliance, and security to better understand the maturity of data privacy and compliance programs, understand the challenges facing organizations when it comes to data security technologies, and examine the use of traditional data loss/leak prevention, emerging data security technologies, and privacy-enhancing technologies (PETs). The survey was completed by 304 business and technology professionals at midmarket (i.e., 100 to 999 employees) and enterprise (i.e., 1,000 or more employees) organizations across North America (United States and Canada).
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End-users are striving to efficiently reuse data to advance digital transformation initiatives and gain a range of business benefits. But this adds data management challenges to an already complex IT infrastructure landscape.
Explore some of Enterprise Strategy Group’s research into these trends with this infographic, From Data Backup to Data Intelligence.
For more information or to discuss these findings with an analyst, please contact us.
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Intelligent data management solutions and use cases are transforming the traditional data protection and storage spaces. As end-users continue on their digital transformation journeys, the need to efficiently reuse compliant data is adding data management challenges to an already complex IT infrastructure landscape. At the same time, significant business benefits can be derived from successful intelligent data management implementations.