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Browse our extensive library of research reports, research-based content, and blogs for actionable data and expert analysis of the latest B2B technology trends, market dynamics, and business opportunities.

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Data Management, Analytics & AI

  • SaaS Data Protection: A Work in Progress

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    Enterprise Strategy Group

    Research Objectives

    Determine key challenges organizations face deploying and leveraging data protection mechanisms for their SaaS environments. Understand the education and best practices gaps that exist in protecting SaaS environments, with specific focus on key capabilities and data protection SLAs. Gain insights into key trends and requirements for successful high availability and data protection strategies for SaaS environments. Gauge end-users’ data protection knowledge and challenges for specific SaaS environments.

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  • The State of Open Source in Cloud Analytics

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    Mike Leone

    Many organizations use open source analytics and data management technology, which often serves as a foundation of their data-centric technology ecosystems. But deploying and managing open source tools and solutions are a challenge in many cases—a situation that calls for managed services to help ease the challenges and pave the way for increased open source adoption, especially in distributed cloud environments.

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  • The Argument for a Single Public Cloud Vendor to Support All Analytics Initiatives

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    Mike Leone

    Many decision makers are interested in standardizing their analytics initiatives on a single cloud provider’s infrastructure and services. A large majority think their organization would be open to considering such a move. This research highlights what they’d be looking for by doing so—easier management, simplified support, and more. But it also points to a fundamental question: Can one vendor meet all of an organization’s data needs?

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  • Data Integration in a Multi-cloud World

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    Mike Leone

    Data integration is proving to be more complex in the cloud for a majority of organizations, especially ones that use public cloud services in multi-cloud environments as part of their analytics initiatives. Many are turning to new tools and managed services to help them cope with integration challenges. In a lot of cases, though, they’re also moving to decrease the number of vendors they currently use.

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  • The Operational Management Conundrum of Data and Analytics in the Cloud

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    Mike Leone

    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.

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  • The Continued Opportunity to Improve Time to Value in Data and Analytics Initiatives

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    Mike Leone

    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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  • The Role of ESG Programs in IT Decision Making

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    Enterprise Strategy Group

    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.

  • The Role of ESG Programs in IT Decision Making

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    Enterprise Strategy Group

    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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  • The Role of ESG Programs in IT Decision Making

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    Enterprise Strategy Group

    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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  • The State of DataOps

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    Enterprise Strategy Group

    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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  • The State of DataOps

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    Enterprise Strategy Group

    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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  • Cloud Analytics Tools Adoption Trends

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    Mike Leone

    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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