Domo Ranked a Top Vendor in Dresner’s 2025 Wisdom of Crowds Analytical Data Products Report
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self-service bitechnical
Self-service BI (business intelligence) is software and tools that let non-technical employees pull, analyze and visualize data themselves without needing help from IT or data specialists. For investors, it matters because widespread use can speed decision-making, reduce costs and reveal growth or risk trends faster—think of it as giving every team a DIY dashboard that can uncover opportunities or red flags before they become obvious.
embedded analyticstechnical
Embedded analytics are data summaries, charts and decision tools built directly into a software product or workflow so users see insights where they already work, rather than switching to a separate reporting tool. For investors this matters because it can make a product more valuable and sticky to customers, boost usage and pricing power, and signal a scalable way to turn data into recurring revenue and competitive advantage.
machine learningtechnical
Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.
agentic aitechnical
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
data engineeringtechnical
Data engineering is the practice of collecting, cleaning and organizing large amounts of business information so it’s reliable and ready for analysis, like building and maintaining the pipes and filters that carry clean water to a city. For investors, strong data engineering means a company can measure performance accurately, spot trends faster, and scale operations without costly errors or delays, affecting forecasting, risk assessment and the value of technology investments.
governancetechnical
Governance refers to the systems and processes that determine how an organization is directed and controlled. It involves making decisions, establishing rules, and overseeing activities to ensure the organization operates fairly, transparently, and in the best interests of its stakeholders. Good governance helps build trust and stability, which are important for investors because they indicate responsible management and reduce risks.
cloud supporttechnical
Cloud support is the technical help and ongoing maintenance that keeps software, data and services running on remote servers (the “cloud”) reliable, fast and secure. Think of it as building maintenance and roadside assistance for online systems: it fixes outages, manages updates, controls costs and safeguards data; for investors, strong cloud support reduces downtime risk, protects revenue and reputation, and enables a company to scale efficiently as demand grows.
embedded bitechnical
Embedded BI is business intelligence—reports, dashboards and analytics—built directly into another software product so users can access insights without switching apps. Like having a dashboard built into a car instead of a separate gadget, it can make a product more convenient and “sticky,” helping companies charge more, keep customers longer and create steadier revenue streams, which investors use to judge competitiveness and growth potential.
Businesses can choose to leverage Domo’s end-to-end AI and Data Products Platform, or the composable component that best meets their needs
SILICON SLOPES, Utah--(BUSINESS WIRE)--
Domo today announced that it has been ranked a top vendor in the newly released 2025 Wisdom of Crowds Analytical Data Products Report from Dresner Advisory Services. The annual research study, created based on real-world user input, evaluates vendors on the full spectrum of data and analytics capabilities needed to build and operationalize modern data products.
“Modern organizations want more than dashboards; they want data products that move the business. This Dresner ranking validates the work our customers are doing every day on the Domo platform,” said Ben Schein, Chief Analytics Officer at Domo. “We’ve invested heavily in unifying data, AI, and action into the solutions our customers rely on so that every team can deliver measurable impact through the data products they create. Being ranked a top vendor is a signal that the market sees that difference.”
The Dresner report defines analytical data product platforms as, “integrated technology environments that include all needed functionality to support multiple analytical or BI use cases, including data engineering, data and analytic governance, self-service BI, AI, data science and machine learning, embedded BI or analytics, cloud support, and agentic AI.”
The report found that the majority of respondents (52%) preferred using a complete, integrated platform from a single vendor, while 37% favored a more composable, build-your-own approach. Domo supports both paths. Organizations can adopt Domo as a fully unified data and AI stack, or deploy individual components, such as integration, workflow automation, embedded analytics, or AI operationalization, to strengthen specific parts of their architecture. By embracing composability without sacrificing end-to-end capability, Domo adds value immediately and meets customers where they are.
“Analytical data product platforms must deliver depth, breadth, and usability across the full analytics lifecycle,” said Howard Dresner, founder and chief research officer at Dresner Advisory Services. “Domo performed well in our 2025 study, demonstrating strong capabilities across core analytical areas including AI and agentic AI, governance, and self-service analytics, and we congratulate them on their placement once again this year.”
The report underscores that core analytics capabilities, especially data engineering and governance, continue to be foundational in how organizations build and scale their data products. Self-service BI remains a top priority, with strong reported success and ongoing investment. And as organizations push further into AI, the study highlights rising interest in agentic AI and its potential to drive more adaptive, autonomous analytical workflows.
Vendor scores were calculated across data engineering, governance, self-service BI, embedded analytics, AI/ML, cloud support, and the newly introduced agentic AI category, providing one of the industry’s most holistic views of analytical product readiness. In September, Dresner ranked Domo #1 in its 2025 Agentic AI Report.
This year marks the fifth edition of the Analytical Data Products Report, which has evolved to reflect the market’s shift from siloed analytics tools to integrated platforms capable of supporting data-driven applications, automated workflows, and AI-powered insights at scale.
Domo is an AI and Data Products platform that helps companies of all sizes leverage data and AI to drive value in today’s data-driven world. Built around our customers’ preferred data foundation, powered by our award-winning Domo.AI solution, and enriched with our partner ecosystem, the Domo platform enables users to prepare, visualize, automate, distribute, and build end-to-end data products that provide solutions across the entire data journey. From hydrating your data foundation, to building fully embedded applications that can be shared with your employees and customers, to deploying AI models across a variety of providers, Domo gives users the ability to build data products that generate measurable value for the business.
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