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Domo is a cloud-based AI and data products platform that allows organizations to integrate data from over 1,000 sources, transform it using drag-and-drop ETL tools, and deliver insights through interactive dashboards, charts, and custom applications. The platform is designed to sit on top of existing cloud data warehouses, enabling teams to leverage their current infrastructure while extending it with powerful analytics and automation capabilities.
The platform covers four core areas: data integration, business intelligence, intelligent automation, and AI. Teams can build no-code workflows, configure automated alerts, and create self-service reporting experiences without requiring deep technical expertise. Low-code and pro-code app development options allow organizations to build and embed custom data products for internal or external audiences.
Domo AI enables organizations to deploy AI agents tailored to specific business functions, including HR benefits inquiries, competitive research, customer support ticket prioritization, retail associate assistance, insurance claims analysis, and inventory management. Conversational AI features allow end users to explore data through natural language queries, while AI-assisted workflow creation and model forecasting help teams accelerate operations.
Security and governance are built into the platform, with pre-built governance frameworks, proactive alerting, compliance tooling, and scalable data product distribution. Domo supports enterprise requirements including SSO, administrative controls, and established partnerships with Snowflake, AWS, Databricks, Google, Azure, Oracle, Microsoft, and Salesforce.
- Connecting 1,000+ data sources into a centralized analytics and reporting environment
- Building interactive dashboards and charts for real-time business performance monitoring
- Deploying AI agents to automate repetitive business tasks across HR, sales, and operations
- Embedding analytics and data products into customer-facing applications and portals
- Automating no-code workflows to streamline cross-team operational processes
- Enabling self-service reporting for business users without requiring SQL or coding skills
- Forecasting and predictive modeling using built-in data science and ML capabilities
- Preparing and enriching data to support trusted and accurate AI-powered interactions
- Centralizing data from enterprise systems like Salesforce, SAP, and cloud data warehouses
- Delivering personalized insights to end users through conversational AI chat interfaces
- Monitoring compliance and data governance across distributed teams and business units
- Building low-code or pro-code custom apps to extend analytics beyond standard dashboards
