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Featured Dresner Research
Research Insight and Wisdom of Crowds® reports offer the most comprehensive and objective insights available for data, analytics, and performance management. Our process is global, encompassing thousands of organizations across all industries, functions, and organization sizes.
Special Reports
Specialized reports rely on data collected directly from customers on a subset of vendors to provide an unbiased comparison within the broader market context.
Hyperscale Data Clouds
The cloud-based analytical data infrastructure (ADI) market has become increasingly dominated by the main Hyperscale vendors: Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure. These giants emerged as key players, each offering ADI solutions that cater to the expansive needs of modern enterprises in the digital era.
This special report draws upon data gathered from AWS, Google Cloud, and Microsoft Azure users to provide an impartial comparison of these vendors within the broader market context. We sourced data for this analysis exclusively from customers within the Dresner research community, without reliance on vendors or vendor-provided references.
The report aims to illuminate the competitive dynamics of cloud-based, analytical data infrastructure by evaluating factors such as product offerings, customer satisfaction, and market positioning. Stakeholders can leverage the insights from this report to make well-informed decisions and adeptly manage the complexities of the contemporary data landscape.
Databricks versus Snowflake 2024
The cloud-based analytical data services industry has seen an emerging competitive dynamic between Snowflake and Databricks in recent years. The two emerge as prominent players offering solutions which have much of the same appeal to meet the evolving demands of organizations in the digital age, including multi-cloud capabilities.
The report seeks to shed light on the competitive landscape of cloud analytical data services by examining factors such as product and technology, customer satisfaction, and competitive market positioning. Stakeholders can utilize insights gained from this analysis to make informed decisions and effectively navigate the complexities of the modern data landscape.
Research Insights
Published throughout each month, Research Insights are thought leadership articles, covering important topics and issues, with pointed advice and recommendations for readers.
If Your Business Decision-Making Process Is Not Formalized, You're Just Guessing
Business decision-making processes and approaches vary widely. An increasing number of organizations strive to identify critical business decisions to make and then use data-driven approaches to inform their options and support their final choices. Others apply a process that begins with the data, using data-driven analysis to identify important business decisions to influence or optimize. Many organizations apply both techniques, depending on the situation.
However, few organizations have enough formality and structure in how they perform business decision making, regardless of the approach. Lack of formality and structure leads to inconsistencies, sub-optimal decisions, and a frequent inability to justify, support, validate, and learn from how critical business decisions are determined.
Rising SI and Consultant Use on BI Projects Means Data Leaders Must Provide the Data and Analytics Guardrails
Our latest data show that use and perceived importance of system integrators (SIs) and consultants continues to rise. Organizations increasingly allocate greater percentages of their data and analytics project budgets to the use of SIs and consultants. In addition, expertise matters most when choosing an SI or consultant. And when sourcing that talent, organizations increasingly consider their vendors as trusted advisors that can direct them to the right potential SI and consultant resources to use.
As perceptions, use, and funding of SIs and consultants continue to rise, so do the stakes for data leaders. Hiring SIs and consultants for an increasing percentage of project responsibilities requires greater expertise in managing the engagements. In some cases, an engagement manager can handle more projects—as long as other less-critical workloads and responsibilities get offloaded easily and efficiently. Sometimes a data leader simply will have to make a business case for hiring more engagement managers. But in almost no instances—even for the most critical projects—should a data leader look to manage these engagements directly.
Data Mesh and Fabric Confusing? Data Leaders Need to Unpack Next-Gen Data Architectures
Data architectures and their supporting technologies and capabilities (including analytic data infrastructure, and data engineering and data catalog products) face increased technology and business pressure to meet the requirements of more complex, diverse, and distributed business intelligence (BI) and analytics use cases and applications. The scale, distribution, mission-criticality, and pace of change facing data leaders and their teams is outpacing the ability of current architectural approaches. Data architectures that lack flexibility, adaptability, and scalability lead to challenges as organizations struggle to capture benefits and achieve positive returns from their BI investments.
In the face of these challenges, although data leaders realize they need to modernize data architectures to better support BI and analytics needs, they are unclear on how to do so in a game-changing manner. Approaches that continue to emphasize centralization, consolidation, physical data movement, and use-case-specific optimization remain common. Although better extract, transform, and load (ETL) processes and data-warehouse enhancements may yield marginal value gains, they will not create the breakthroughs needed to support the BI needs of the modern, Hyper-Decisive® organization.
Wisdom of Crowds® Market Reports
Wisdom of Crowds® Market Reports offer in-depth research and reporting on key industry and technology topics, including user trends, perceptions, intentions and other drivers. Each report includes a section with objective and inclusive vendor ratings.
Enterprise Performance Management 2024
Usage of enterprise performance management increased to 71 percent in 2024, up from 62 percent in 2023, according to the Dresner Advisory Services 2024 Wisdom of Crowds® Enterprise Performance Management Market Study.
The Enterprise Performance Management (EPM) Market Study, now in its 10th edition, is Dresner's broad assessment of the market, providing a comprehensive look at key user behaviors, attitudes, and intentions and comparing the findings to previous years.
The report examines overall importance of EPM, adoption trends, implementation and sourcing strategies, planning priorities, and rolling forecasts. It includes an analysis of success with EPM, sourcing preferences, cloud deployments, as well as the impact of, and use cases for, artificial intelligence (AI).
Data and Analytics Governance Study 2024
This expanded edition of the Data and Analytics Governance Study Report includes in-depth sections on crucial topics such as the relative importance of governance in technologies and initiatives, the difficulty in finding data and analytic content, and organization and practices related to data and analytic governance.
Furthermore, the report delves into detailed aspects of governance organizational models, structures, and reporting, as well as the scope and activities of data governance programs. It also examines the current use of data governance solutions and their features, industry and vendor analysis, and governance vendor ratings.
Business Intelligence Flagship Market Study Report 2024
This 15th edition of the Wisdom of Crowds BI Flagship Market Study includes in-depth sections on key topics such as automation goals and targets, user penetration, and objectives and achievements, among others. Furthermore, this year’s report includes an updated industry section that includes a new Value/TCO Model, offering essential insights for organizations navigating the ever-evolving market landscape. As the 15th edition, it provides an unparalleled historical view of the market, reflecting on trends and changes over time.
Data security, data quality, reporting, dashboards, and data integration are the top five technologies and initiatives strategic to business intelligence in 2024, while modern initiatives including data fabric and blockchain gain momentum. Organizations report ongoing and improving penetration levels of business intelligence usage, with high penetration levels increasing and bullish expansion plans.
The 2024 BI Market Study also includes a comprehensive analysis of the leading suppliers, ranking 24 vendors using four different models – a vendor-specific radar chart and three collective models.
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