Strategic Architect

Domo unveils redesigned Magic ETL and ai-guided data connectivity at Domopalooza. March 26, 2026 at 8:55 PM - by MLQ Agent · source Business Wire Key points. * Domo announced a redesigned Magic ETL authoring experience and AI-guided tools for connecting new data sources. * The updates aim to reduce the time organizations spend on data preparation, which the company calls the most time-consuming part of analytics. * The announcements were made at Domo's annual Domopalooza conference. * The new capabilities are positioned around accelerating AI agent creation by simplifying multi-system data integration. Domo (Nasdaq: DOMO) announced updates to its Magic ETL data transformation tool and data integration capabilities at its annual Domopalooza conference this week. The changes include a redesigned authoring experience and AI-guided tools designed to simplify the process of connecting disparate data sources, which the company says remains the biggest bottleneck in analytics workflows. Price Action DOMO chart What's new in Magic ETL. The updated Magic ETL features a redesigned authoring interface intended to make data preparation faster and more accessible. Domo is also introducing AI-guided connectivity tools that help users connect new data sources without requiring custom integration work. The company framed the updates as enabling faster creation of AI agents - automated systems that can act on data across multiple business systems. Addressing data preparation challenges. Domo's announcement targets a well-known pain point: data preparation typically consumes the majority of time in analytics projects. By embedding AI guidance into the data connection and transformation process, Domo is attempting to lower the technical barrier for users who need to bring together data from multiple systems. The company positions these capabilities as part of its broader agentic AI strategy. Market and competitive context. Domo operates in a competitive business intelligence market alongside significantly larger players including Salesforce's Tableau, Microsoft's Power BI, and Google Cloud's Looker, all of which have introduced their own AI-assisted data tools. With a market capitalization around $149 million and trailing twelve-month net losses of roughly $77 million, Domo is considerably smaller than these incumbents. The stock has declined approximately 58% over the past 12 months, trading recently in the $15-$16 range within a 52-week range of $6.01 to $17.88. Analysts covering the stock have an average price target in the $11-$17 range across roughly 8-10 ratings, though none have commented specifically on this product update. Companies mentioned. Written with AI assistance, verified and edited by its team. Questions? Contact MLQ.ai.

Domo gives admins new control over agents and how data is delivered across the business. Thursday, March 26, 2026 Domo expands its platform with new capabilities that help administrators manage, govern, and deliver data experiences and agentic AI at scale SILICON SLOPES, Utah - March 26, 2026 - Domo (Nasdaq: DOMO) today introduced a set of new capabilities that give administrators more control over how data is delivered across the business and how AI agents are built and deployed from that data. Announced at the company's annual Domopalooza conference, the announcement addresses how organizations manage access, organize content, and deliver consistent data experiences. As data products, applications, and AI-driven workflows become part of daily operations, administrators are taking on a more operational role. They are expected not only to manage access, but to ensure data is delivered in a way that works for the people using it. "The hardest part of managing data at scale isn't access. It's making sure people see the right thing, in the right way, at the right time," said Ben Schein, Chief Analytics Officer and SVP of Product at Domo. "That depends on governance being built into how data is delivered, not layered on afterward. Administrators are responsible for delivering data that is secure and tailored to how people actually work, and these updates give them the tools to do that with more precision and less friction." Solving a Persistent Admin Challenge At the center of the announcement is User Impersonation, a new capability that allows authorized administrators to view and interact with Domo as another user. The feature addresses one of the most common and time-consuming challenges in enterprise data platforms: diagnosing issues tied to a specific user's permissions and data access. User Impersonation was the most requested feature on Domo's Ideas Exchange, reflecting a widespread need among customers for faster troubleshooting and validation. With this capability, administrators can quickly understand what a user sees, identify issues, and resolve them without relying on screenshots or back-and-forth communication. The feature is currently in progress and expected to be available early in the second half of this year. Extending Data Beyond the Platform Domo also introduced Native App Distribution, which allows organizations to deploy Domo applications as standalone, branded mobile apps in the Apple App Store and Google Play. Instead of requiring users to navigate a full analytics environment, this allows organizations to deliver focused, role-specific applications to executives, partners, and frontline teams where they are already working. The result is a more direct path between data and action, particularly for users who rely on mobile access in the field. Native App Distribution is expected to be available in beta this summer. Governance Across Complex Data Environments Domo also introduced updates designed to simplify how governance is applied consistently across datasets, particularly for organizations managing large and distributed data environments. Global PDP Policies allow administrators to define a single data access policy and apply it across multiple datasets, reducing duplication and keeping policies consistent across datasets. Column masking with calculated field support is now generally available and it extends policy enforcement into more complex data models, ensuring that derived fields follow the same governance rules as source data. Together, these capabilities simplify how organizations enforce data access controls while maintaining flexibility in how data is modeled and used. Shaping the Data Experience Domo also introduced new tools that help administrators shape how users interact with data across the platform. Nav Configs, now generally available, enable administrators to define consistent navigation experiences for specific groups or across the entire organization. As organizations create more apps and insights, this helps prevent content sprawl and ensures users can quickly find what matters most. Workspaces, now expanded to a broader beta, allow teams to create curated content hubs with organized folders and key assets. These hubs act as central destinations for specific functions, teams, or initiatives. From Gatekeeper to Orchestrator Administrators are increasingly responsible for how data is delivered, not just how it is secured. As AI-driven workflows and AI agents expand across the business, that responsibility is growing in both scope and complexity. That shift requires tools that unify governance, distribution, and experience design in a single system. Domo's approach focuses on giving administrators a more consistent way to manage that complexity. By combining governance, distribution, and experience design within one platform, organizations can scale their data efforts while maintaining control. About Domo 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 its customers' preferred data foundation, powered by its award-winning Domo.AI solution, and enriched with its 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. Forward-Looking Statements This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995. These forward-looking statements include, but are not limited to, Domo's business strategy, product release plans, and opportunities. Forward-looking statements are subject to risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. Actual results may differ materially from the results predicted, and reported results should not be considered as an indication of future performance. The potential risks and uncertainties that could cause actual results to differ from the results predicted include, among others, those risks and uncertainties included under the caption "Risk Factors" and elsewhere in its filings with the SEC, including, without limitation, the Annual Report on Form 10-K filed with the SEC on April 4, 2025 and subsequent filings with the SEC. All information provided in this release and in the attachments is as of the date hereof Domo Contact Cory Edwards VP Corporate Communications [email protected]

Domo accelerates AI agent creation with new Magic ETL Experience and ai-guided Connectivity. Thursday, March 26, 2026 Features unveiled at Domopalooza strengthen governance and add AI-guidedtools that simplify how organizations connect and prepare data SILICON SLOPES, Utah - March 25, 2026 - Domo (Nasdaq: DOMO) today announced updates to Magic ETL and its data integration capabilities, including a redesigned authoring experience and AI-guided tools for connecting new data sources. The announcements were made this week at the company's annual Domopalooza conference. For many organizations, preparing data remains the most time-consuming part of analytics. Data lives across many systems and connecting those sources often requires custom integrations. Once data arrives, teams must clean it, transform it, and maintain governance as pipelines evolve. Domo's latest updates focus on improving the daily work of the practitioners responsible for those pipelines and their efforts to quickly build and deploy business critical agents. "Behind every dashboard is a data pipeline someone had to design and maintain," said Andrea Henderson, senior product manager at Domo. "Our goal is to make that work faster and more dependable while preserving the governance organizations require." Stronger Governance Inside Magic ETL A key update is full support for Personal Data Permissions within Magic ETL. PDP policies enforce row-level security across datasets in Domo. With this release, PDP-protected datasets can now be used directly as inputs within Magic ETL dataflows. Previously, working with sensitive data often required a tradeoff. Teams either limited who could build transformations or expanded access beyond what was necessary. This update removes that constraint. More users can now work directly with governed data while existing security policies remain intact. Magic ETL converts integrated data into trusted datasets that power analytics and operational workflows in Domo. A Redesigned Magic ETL Experience Domo also introduced a redesigned Magic ETL authoring experience with a new canvas that allows practitioners to customize panel layouts and maintain preferred workspace settings. The update also introduces a dark mode option. Several workflow improvements were also added based on customer feedback. Disable Tiles allows users to temporarily turn off a transformation step without removing it. Run to Here lets practitioners execute a dataflow only up to a selected step to speed up troubleshooting. Row Count Observability shows how many rows move through each stage of a pipeline. AI-guided Connectivity and Unstructured Data Support Domo today previewed a new AI Assistant for the JSON No Code connector, expected later this year. The assistant helps users connect to REST APIs with natural language by interpreting documentation and generating the required configuration. Domo's top connectors are now AI-ready. Domo has added more column-level context to customer data from the start by automatically populating the data dictionary through the connector, where customers can tweak and edit as needed. Additionally, the company announced Domo Documents, formerly known as Filesets. The capability allows organizations to store unstructured files such as PDFs or images within the platform or connect to files in systems like Amazon S3, SFTP servers, Google Drive, GitHub or Confluence. Once ingested, those documents can be processed and made searchable so they can be used alongside structured data. Through a new Documents tile in Magic ETL, teams can extract structured information from document collections and incorporate it directly into dataflows. Improved Visibility for Cloud Integrations Domo also introduced enhanced observability for cloud integrations through a new Domo Stats report. The report provides visibility into how queries from connected cloud data warehouses (CDWs) are executed within Domo. The platform connects enterprise systems and CDWs through governed connectors, including Snowflake, Databricks, Google BigQuery, and AWS. These connections establish the data foundation used throughout Domo. Availability Several capabilities announced today are generally available, including Disable Tiles and Run to Here. The redesigned Magic ETL experience and row-count observability are currently in beta. The AI Assistant for the JSON connector and additional AI tiles are expected later this year. Currently, five of the AI readiness top connectors are now available with more coming. About Domo 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 its customers' preferred data foundation, powered by its award-winning Domo.AI solution, and enriched with its 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. Forward-Looking Statements This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995. These forward-looking statements include, but are not limited to, Domo's business strategy, product release plans, and opportunities. Forward-looking statements are subject to risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. Actual results may differ materially from the results predicted, and reported results should not be considered as an indication of future performance. The potential risks and uncertainties that could cause actual results to differ from the results predicted include, among others, those risks and uncertainties included under the caption "Risk Factors" and elsewhere in its filings with the SEC, including, without limitation, the Annual Report on Form 10-K filed with the SEC on April 4, 2025 and subsequent filings with the SEC. All information provided in this release and in the attachments is as of the date hereof Domo Contact Cory Edwards VP Corporate Communications [email protected]