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.
Data Management, Analytics & AI
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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.
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As organizations look to make data and analytics capabilities available to more stakeholders, providing the right tools, technology, and training for all employees rooted in self-service is proving valuable. A key benefit of self-service is productivity. Experts and generalists alike benefit from self-service technology to ensure faster ramp-up, fewer interruptions, and ongoing improvements in day-to-day tasks.
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ESG conducted a comprehensive online survey of IT professionals from private- and public-sector organizations in North America (United States and Canada) between August 3, 2021 and August 14, 2021. To qualify for this survey, respondents were required to be IT professionals personally responsible for data protection and data management technology decisions for their organization.
This Complete Survey Results presentation focuses on the evolution of traditional data protection processes to more holistic data management strategies in which data is better understood and reused for other technical and business purposes.
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With a goal of broadening BI usage throughout the business, organizations are turning to advanced BI capabilities. Embedded analytics, mobile application delivery and support, augmented analytics, self-service enablement, low-code/no-code, and natural language querying are expected to rapidly grow in adoption to enable the business to better leverage data and empower more end-users to gain access to actionable insight.
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Business intelligence has long served as a technology-driven process for analyzing data and delivering actionable information that helps a variety of roles—from executives and managers to business analysts and data scientists—make more informed business decisions. With the understanding that the goal of BI initiatives is to drive better business decisions that enable organizations to increase revenue, improve operational efficiency, and gain competitive advantages over business rivals, it is no surprise that organizations continue to prioritize BI, as can be seen through larger investments and more end-user exposure throughout the business.