Data.
Not opinion.
Dresner is different. We’re your trusted guide through today’s challenging data, analytics, AI, ERP, and performance management landscape with over 500 years of collective industry experience.
Our research is 100% data-driven and unbiased by opinion.
Become a member subscriber of and have access to our analysts, community, and our expansive and growing library of industry research
A unique and fact-based approach
A community of experts
Join a community of like-minded people leveraging data into success!
Access to experts and peers
- Our analysts are always ready to interact, share experiences, answer questions and help point you in the right direction.
All about the data
- We believe in order to plan for the future you must understand the past. That's why we focus on primary research, collecting and analyzing data from all ends of the market to understand the dynamics driving AI, data, analytics, performance management, ERP, and related topics.
Gain wisdom from Dresner analysts
- No need to wait weeks for a reply to an email or inquiry. Instead speak with our analysts right away to respond to your pressing questions while they still matter
Receive Dresner Market Reports and Research Insights
- Tap into our expansive multi-year library of insightful market reports and Research Insights to stay up to date on technology, methodology, industry, and much more.
Who are our subscriber members? Professionals in:
Featured Dresner Research
Research Insight and Wisdom of Crowds® reports offer the most comprehensive and objective insights available for AI, data, analytics, ERP and performance management. Our process is global, encompassing thousands of organizations across all industries, functions, and organization sizes.
Special Reports
Special Reports are in-depth, timely research studies that address significant market developments, emerging technologies, competitive dynamics, or strategic inflection points that warrant focused analysis outside our traditional annual market studies and Research Insights series. These reports draw on the same objective, user-driven methodology and analytical rigor that define all Dresner Advisory Services research, while providing flexibility to examine important topics, vendor comparisons, or evolving market conditions as they arise. The result is relevant, data-informed perspective designed to help both technology providers and enterprise buyers better understand shifts in the AI, data, analytics, and performance management landscape.
The Pragmatic Middle: How AI Maturity Is Reshaping the Data Warehouse, Data Lake, and Lakehouse Landscape
The analytic data infrastructure (ADI) market has moved past the warehouse-vs.-lake debate. Our 2026 survey data is unambiguous: No single storage architecture dominates, and the organizations reporting the highest business intelligence (BI) success are not those that made the boldest architectural bet. The highest performers have made the most disciplined, phased investments, extending existing infrastructure in alignment with actual workload requirements, rather than chasing architectural trends ahead of organizational readiness.
Data Catalogs in 2026
For many years, data catalog technologies have been valued by organizations for their ability to enhance data discovery, enable data governance and compliance, foster collaboration, support data integration and analytics, and facilitate data-driven decision making. As a foundational technology, especially when combined with data governance capabilities, data catalog technologies underpin effective data management and utilization of information assets within organizations.
Data Observability in 2026—Crucial for Modern BI, Analytics, and AI
Use cases for business intelligence (BI), analytics, and artificial intelligence (AI) are growing more complex, involving more data sources, platforms, locations, and a greater variety and number of data producers and consumers. This means data flows are becoming exponentially more complex, transformation logic is much more sophisticated, and more opportunities exist for errors and leaks. At the same time, organizations’ emphasis on data governance—of quality, security, privacy, lifecycle management, and costs—is also increasing, as data leaders, business leaders, and management teams recognize the importance of leveraging and protecting data assets.
Wisdom of Crowds® Market Reports
Wisdom of Crowds® Market Reports are comprehensive, data-driven studies that examine both the demand and supply sides of key industry and technology markets. Based on extensive surveys of actual users and buyers of solutions, these reports analyze adoption trends, intentions, priorities, use cases, and buying dynamics, providing a clear view of how markets are evolving. Each report also includes objective, inclusive vendor ratings derived from our rigorous evaluation methodology, offering transparent insight into how providers are perceived across a broad range of capabilities and measures.
AI, Data, and Analytics Governance Market Study
AI, data, and analytics governance initiatives support a wide range of use cases, according to the Dresner Advisory Services AI, Data, and Analytics Governance Market Study. Executive dashboards and KPI reporting, financial planning and analysis, and operational performance monitoring are the top three use cases, according to this year's survey.
AI, data, and analytics governance provides the oversight and operating framework of information-related decision rights, principles, policies, processes, people, and technologies that enables an organization to achieve its business objectives. Dresner's AI, Data, and Analytics Governance study, now in its fourth edition, analyzes end user deployment and sentiment around the governance, including its relative importance, business use cases, governance practices and policies, and solutions support.
Flagship Business Intelligence Market Study
Dresner Advisory's 2026 Business Intelligence (BI) Market Study features in-depth analyses on all aspects of the market. The 17th annual edition covers drivers, targeted users, success with BI, associated budget plans and allocations, objectives and achievements, adoption, product longevity and replacement, and strategic technologies and initiatives. It also features a new section exploring the impact of artificial intelligence (AI) on BI.
According to the study, AI maturity has seen rapid growth in recent years. While past surveys indicated some reticence from respondents, results in 2026 showed far more maturity in than in past years, with 50% of all respondents indicating their maturity was either "advanced" or "intermediate".
Agentic AI-Assisted Analytics
While still early, the signal is clear: agentic AI is poised to fundamentally re-imagine what self-service BI means. Vanguard users are already beginning to redefine the category, not as a set of tools which users query, but as an intelligent layer that works on their behalf. The impact will touch every dimension of the BI workflow, from agents that discover and surface relevant data for consumers, to agents that autonomously apply analytical models to analyze and predict outcomes.
Particularly significant for BI is the emergence of agents that anticipate rather than just respond. These include agents that predict context and deliver answers before a question is even asked, as well as agents capable of taking autonomous action on insights. Taken together, the trajectory is becoming clear: agents will find the data, determine the context, apply the reasoning, and close the loop, transforming self-service from a user-driven search into an intelligence-driven conversation.
Research Insights
Research Insights are focused research briefs published throughout the year that examine significant trends, technologies, and management issues shaping the modern enterprise — from AI and emerging automation models to ERP, data, analytics, and performance management. Grounded in our independent, user-driven research, these papers provide clear analysis and practical context for executives, functional leaders, and practitioners alike. Each Research Insight concludes with direct, pointed recommendations to help buyers address the critical issues they are facing and make more confident, informed decisions.
How Much Value Do Organizations Really Get From Analytical Solutions?
When deploying analytical solutions, risk of failure can arise due to mismatches between business requirements and procured functionality, the unexpected and excessive time and cost of customization, and challenges with integration complexity. For certain business functions, industries, organization sizes and use cases, results from implementation of packaged and accelerator/template analytical solutions vary dramatically. Because data leaders cannot assume value is guaranteed, they must be diligent in choosing the type and source of the analytical solutions they wish to deploy.
If You Have an ESG Strategy, You Must Consider ESG Software
Environmental, social, and governance (ESG) is an evolving framework used to evaluate a company’s sustainability and ethical impact. It assesses how a company operates regarding the environment, its workforce, and its governance. Essentially, ESG comprises a set of standards that investors and other stakeholders use to evaluate a company’s non-financial performance.
ESG reporting primarily focuses on collecting and organizing non-financial data and integrating it with financial disclosures. This enables organizations to produce ESG reports that are consistent with and complementary to their financial disclosures and other regulatory reports. The goal of ESG reporting is to systematically assess the potential impacts of social and ecological factors on an organization’s financial health. It also examines how an organization affects people, the planet, and the economy, and how these factors influence its long-term sustainability and the environment in which it operates.
Stop Pigeonholing Analytical Solutions and Maximize Value Through Broader Use Cases
Data leaders that only apply analytical solutions to a few limited financial and forecasting use cases are allowing their organizations to miss opportunities to maximize these solutions’ value. Although these two traditional use cases represent areas ripe for generating value—and analytical solution offerings aimed at them are readily available—substantially more benefits await across the rest of the organization. Analytical solutions can enrich strategic business outcomes when applied to many other processes and decisions, including those of a more operational, real-time, and customer-facing nature.
Request more information and become part of the community
As a Dresner Advisory member subscriber you will be at the pinnacle of your industry, armed with the latest perspectives and understanding surrounding the AI, ERP, data, analytics, and performance management disciplines.
Who is Dresner Advisory Services?
We're comprised of a team of deeply experienced and seasoned analysts focused on delivering exceptional value to our members.