Most organizations use technologies from a variety of public cloud and third-party software providers to support their data management and analytics strategy. That complicates ongoing operational management of cloud analytics environments, and multi-cloud deployments exacerbate the challenges—and the headaches they cause. This research highlights what organizations are doing to try to ease the pain without disrupting critical data workflows.
Data Management, Analytics & AI
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While most IT decision makers believe their organization is doing a good job of acting on data insights, it often takes weeks or months to generate and then act on those insights. There’s an opportunity to do better by deploying new technologies and making the data lifecycle more efficient—and organizations that don’t address the time-to-value gap may find themselves lagging behind faster and more agile rivals.
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IT suppliers’ environmental, social, and governance (ESG) program status is a new and important evaluation factor for buyers.
See data behind this emerging trend with this free Enterprise Strategy Group Infographic, The Role of ESG Programs in IT Decision Making.
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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.
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Research Objectives
In order to gain insight into how environmental, social, and governance (ESG) initiatives are impacting IT purchases, Enterprise Strategy Group 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.
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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.
For more information or to discuss these findings with an analyst, please contact us.
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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.
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More organizations are turning to the public cloud to support data initiatives, many of them using cloud services from both cloud providers and third-party software vendors. Within 12 months, sizable majorities of organizations plan to run various data management and analytics tools on public cloud infrastructure. Hybrid environments that also include on-premises systems often need to be maintained, but investments in cloud-based technologies clearly are on the rise to help meet data-driven business goals.
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The public cloud is a good match for modern data needs and goals, and organizations increasingly recognize that as part of their data analytics strategy. The benefits they’re gaining will drive further adoption of public cloud services to support data initiatives. But there are challenges that must be overcome to ensure that cloud analytics deployments are successful. This research provides insight into the top benefits and challenges of using the cloud.
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Research Objectives
The need for rapid insight is forcing organizations to prioritize agility, transparency, and speed across their data ecosystems with a goal of improving operational efficiency, improving collaboration, and accelerating time to value from investments in support of data-driven initiatives. But organizations need help ensuring seamless orchestration, appropriate management, and timely delivery of data in support of the people, tools, processes, and environments that fuel their business. Between data quality issues, distributed data, tool proliferation, overburdened and under-skilled teams, rising costs, and increased risk, the complexity of today’s data ecosystem hinders democratization of data and analytics. This is a big reason why 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. And the wide belief is that establishing DataOps will set organizations up for success as they look to achieve a data-driven future through an agile, process-oriented approach to securely accessing and analyzing data at scale.
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The ransomware threat is a top-of-mind issue for many organizations, but few feel totally prepared for an attack. IT organizations are building their own processes to respond, but many are confused about the scope of what is to be included and even who is responsible for the implementation.
In order to establish a framework for modern ransomware preparedness, Enterprise Strategy Group surveyed IT and cybersecurity professionals personally involved with protecting against ransomware attacks and developed the 5 pillars of ransomware preparedness.
For more information or to discuss these findings with an analyst, please contact us.
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ESG conducted a comprehensive online survey of IT and cybersecurity professionals from private- and public-sector organizations in North America (United States and Canada) and Western Europe (UK, France, and Germany) between December 21, 2021 and January 10, 2022. To qualify for this survey, respondents were required to be IT and cybersecurity professionals involved with the technology and processes associated with protecting against ransomware.
This Complete Survey Results presentation focuses on understanding the proactive and reactive measures organizations have in place to defend against the growing ransomware threat, and identifying the priorities and plans associated with mitigating the ransomware threat in the coming 12-18 months.