What is Domo?
Domo is a cloud-based business intelligence platform that connects data sources, transforms raw data, and delivers real-time analytics and dashboards to teams across an organization. It addresses the challenge of fragmented data by centralizing access to over 1,000 sources in one place. The platform covers the full data lifecycle: ingestion, transformation, visualization, automated reporting, and AI-powered analysis. Low-code and pro-code app creation tools let technical and non-technical teams build custom data products. Native iOS and Android apps extend access to dashboards and reports from any device.
Features & Benefits
- Pre-Built Cloud Connectors — connect to over 1,000 data sources using pre-built cloud connectors, eliminating manual data engineering work.
- On-Premises Data Connectors — bring on-premises data into the business intelligence platform or migrate it to the cloud using Domo Workbench.
- Proprietary System Connections — connect to any proprietary system using APIs, an SDK, custom connectors, or webhooks.
- Federated Data — query and visualize data stored in external cloud data warehouses without duplicating it, keeping the source data behind your firewall.
- Data Writeback — send processed data back to source systems using manual or automated options including ODBC, writeback connectors, and APIs.
- Cloud Amplifier — integrate cloud data warehouses directly with the platform to make BI tools natively available across all cloud data.
- File Upload — pull Excel spreadsheets and other file formats including CSV and PDF into the platform for analysis.
- Email Attachment Import — import XLS, XLSX, or ZIP files sent as email attachments directly into the platform.
- Magic ETL — define and sequence data transformation operations with a drag-and-drop interface or scripting, with fast query handling across billions of rows.
- SQL Dataflows — build data transformation pipelines by writing MySQL or Redshift expressions directly in the platform.
- Dataset Views — explore and analyze data, perform simple operations, and save the result as a new dataset.
- AI Agents — build and deploy custom AI agents that automate tasks, answer questions, and analyze data using your organization’s own data.
- Conversational AI (Domo.AI) — query data in natural language, uncover trends, and deliver AI-powered insights through embedded AI chat experiences.
- Automated Machine Learning — run ML model training jobs and identify the best-performing model for a given dataset using an integrated AutoML environment.
- Jupyter Workspaces Integration — develop and deploy ML models in an integrated Jupyter environment using R and Python.
- Charts and Visualizations — build data visualizations using over 150 chart types and 7,000 custom maps with a drag-and-drop analyzer.
- Interactive Dashboards (Stories) — create customizable, branded, interactive data stories that guide analysis without writing code.
- Dashboard Variables — define custom fields that users can adjust within a dashboard to support what-if analysis and scenario modeling.
- Calculated Fields (Beast Modes) — calculate new metrics from one or multiple datasets using SQL or built-in functions without altering source data.
- Automated Alerts — set threshold-based or scheduled alerts that deliver notifications via web, email, or mobile when key metrics change.
- Self-Service Reporting — export dashboards and visualizations to CSV, XLS, PDF, and PPT, or schedule reports for delivery to any inbox.
- Embedded Analytics — share branded, white-labeled analytics and data products with external users, with row-level data permissions controlling what each user sees.
- Low-Code App Studio — build interactive business apps using pre-built templates, drag-and-drop workflows, and reusable code components.
- Pro-Code App Development — develop fully custom apps using HTML, CSS, JavaScript, and Domo’s app development framework and charting engine.
- No-Code Workflows — add automation to business processes without writing code, using a visual workflow builder.
- Appstore — access hundreds of pre-built apps and connectors built on the platform for specific business functions.
- Projects and Tasks — create and assign tasks to manage action items and team projects directly in the platform.
- Data Lineage and Impact Analysis — trace upstream and downstream effects of data changes across the entire pipeline.
- Personalized Data Permissions — apply row-level access policies that restrict each user to only the data relevant to their role.
- Content Certification — create workflows that let content owners certify dashboards and datasets as trusted and accurate.
- Sandbox Environments — separate development and production environments so analysts can test changes without affecting live dashboards.
- DomoStats — monitor platform usage including login trends, dataset activity, and content creation across the organization.
- Bring Your Own Key (BYOK) Encryption — encrypt data using your organization’s own encryption keys.
Real-World Applications
A retail merchandising team may use Domo as a business intelligence platform to monitor inventory levels, sales velocity, and supplier performance across multiple locations in real time. Product managers can build dashboards that pull from point-of-sale systems, logistics platforms, and demand forecasting models simultaneously. Automated alerts can notify buyers when stock dips below defined thresholds, cutting the lag between data and action.
Financial services firms might use the platform’s data integration and embedded analytics capabilities to deliver white-labeled client reporting portals. Row-level data permissions ensure each client sees only their own portfolio data. Scheduled reports can send formatted performance summaries directly to client inboxes at defined intervals, reducing manual reporting workload for analysts.
Healthcare and life sciences organizations can use the business intelligence platform to consolidate patient data, operational metrics, and compliance reporting into a governed, centralized environment. Data lineage tools help track where data originates and how it flows through transformation pipelines. HIPAA-aligned security controls and role-based access policies support the data governance requirements common in regulated industries.
Marketing and operations teams at large enterprises may build custom AI agents that automate competitive research, summarize support ticket trends, or surface inventory insights without manual data pulls. Low-code workflow tools let non-technical staff build these automations on top of live data. Teams can deploy AI chat directly into dashboards, giving frontline workers instant answers grounded in verified, organization-specific data.
