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Cloud-native platform, real-time data processing, self-service visualization, mobile access, social collaboration tools, custom insurance apps, automated alerts, and embedded analytics. Helps insurers monitor KPIs, analyze claims data, track policy performance, and optimize customer engagement.
User-friendly applications that allow business users to create their own reports, conduct analyses, and explore data without relying on IT specialists.
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Intuitive User Interface A visually clear and well-organized interface that allows users to find and use functionalities easily. |
Marketing and documentation emphasize a modern, visually clear UI for non-technical users. | |
Customizable Dashboards Ability for users to create, save, and personalize dashboards according to their preferences. |
Product dashboards are a core feature—users can fully customize them. | |
Drag-and-Drop Report Builder Feature for users to construct reports visually by dragging and dropping elements. |
Drag-and-drop report and dashboard builders are core to Domo’s self-service. | |
Role-based Access Controls Tools to allocate permissions based on user roles to ensure data security and governance. |
Domo offers granular permissions and role assignments to control data and dashboard access. | |
Mobile Access Support for mobile devices via responsive design or dedicated apps. |
Domo mobile app allows full access to dashboards, alerts, and analysis on smartphones. | |
Natural Language Query (NLQ) Users can type questions in plain language to query data or generate reports. |
Natural language query capabilities (Domo’s 'Ask Domo') are available for plain-language querying. | |
Localization & Language Support Availability of the tool in multiple languages to support global teams. |
Supports multiple languages for global teams (see platform localization options). | |
Onboarding Tutorials In-app tutorials or walkthroughs to assist new users. |
User onboarding flows include tutorials and guided tours. | |
Keyboard Shortcuts Productivity-enhancing shortcut keys. |
Keyboard shortcuts documented in help materials for improved productivity. | |
Accessibility Compliance Supports accessibility standards (e.g., WCAG) for users with disabilities. |
Lists WCAG compliance and ADA consideration for accessibility. | |
Custom Themes & Branding Ability to tailor the interface’s look and feel to align with corporate branding. |
Supports custom branding, themes, and white-labeling for enterprise deployment. |
Broad Data Source Connectivity Ability to connect with various databases, data warehouses, APIs, cloud storage, and CSV/Excel files. |
Connects to cloud/on-prem data warehouses, APIs, Excel, etc.—broad connectivity advertised. | |
Real-time Data Updating Capability for real-time or near-real-time data refresh from source systems. |
Real-time and near-real-time updating supported; featured in product descriptions. | |
Batch Data Import Support for scheduled or manual bulk data imports. |
Batch import supported through scheduled ETL and connectors. | |
Data Blending Ability to combine data from multiple sources into a single view. |
Data blending from multiple sources is core to Domo’s data integration. | |
Data Model Customization Ability for users to extend or adapt existing data models. |
Support for editing/extending data models in-app. | |
No/Low-Code Integration Data connectivity achievable without writing code or via visual interfaces. |
Most data connectors and integration are designed as low-code/no-code connectors. | |
Automated Data Mapping Assists in mapping imported fields to data model or report fields. |
Automated field mapping available during dataset ingestion and report building. | |
API Support Availability of APIs for advanced integrations and automation. |
RESTful API available for data integration and automation. | |
Maximum Simultaneous Data Connections The maximum number of concurrent data source connections supported. |
No information available | |
Data Query Speed Average latency to retrieve and render data from sources. |
No information available |
In-app Data Cleansing Ability to detect and handle duplicates, missing values, and errors within the tool. |
Provides in-app data quality, deduplication, and cleansing tools. | |
Data Transformation Functions Pre-built operations for joining, pivoting, aggregating, and formatting data. |
Transformation tools include joining, pivoting, aggregating in GUI ETL pipelines. | |
Calculated Columns/Fields Allows users to create new fields based on formulas or logic. |
Users may add calculated columns using formulas. | |
Self-service Data Modeling Enables users to define relationships and hierarchies without IT involvement. |
Self-service data modeling is advertised to enable user-driven relationship building. | |
Data Lineage Tracking Tracks data flows and transformations from source to report. |
Lineage and impact analysis tooling present in documentation. | |
Data Quality Indicators Displays data validity, freshness, and completeness to the end-user. |
Displays data freshness, completeness, statuses. | |
Ingestion Throughput Maximum volume of data that can be ingested per hour. |
No information available | |
Undo/Redo Data Changes Support for rolling back or reapplying data preparation steps. |
ETL/dataflow editing supports undo/redo. | |
Data Retention Settings Ability to set policies for how long data is stored within the tool. |
Data retention policies can be set per dataset. | |
Metadata Management Tools for managing data dictionaries, tagging, and field descriptions. |
Metadata management for datasets and definitions included. |
Wide Range of Visualization Types Variety of chart types, maps, and custom visualization options. |
Supports a broad range of visualizations: charts, maps, custom visuals. | |
Ad Hoc Query/Analysis Users can construct and modify queries on the fly without IT help. |
Ad hoc querying and self-service reporting core to product description. | |
Automated Insights/Recommendations Tool proactively surfaces trends and anomalies. |
Alerts, anomaly detection, and trends reporting supported by automatic insights. | |
Drill-down/Drill-through Ability to navigate from summary-level data to granular transaction details. |
Drill-down and drill-through features in all dashboards. | |
Time Series Analysis Specialized support for analyzing trends over time. |
Time series visualizations and analytics described for insurance KPIs. | |
Comparative Analysis Easily compare multiple data sets, cohorts, or time periods. |
Can compare time periods, cohorts, datasets—comparative analysis is core. | |
Pivot Tables Dynamic summarization and reorganization of data in table form. |
Pivot tables built in. | |
Scheduled Reports Ability to automate report generation and distribution at set intervals. |
Reports can be scheduled for distribution and updates. | |
Maximum Report Size The limit on the number of rows or fields that can be included in a report. |
No information available | |
Export Formats Supported Variety of available formats for exporting reports, such as PDF, Excel, CSV. |
No information available | |
Geospatial/Map Analytics Support for spatial data and map-based visualization. |
Spatial data visualizations and geospatial mapping supported. |
Report & Dashboard Sharing Users can share their work directly with others inside or outside the organization. |
Reports and dashboards can be shared internally/externally, via link or workspace. | |
Annotations & Comments Ability to add context and notes directly onto reports and visuals. |
Annotations, discussions, and comments can be added to assets. | |
Real-time Collaboration Multiple users can edit, comment, or build dashboards simultaneously. |
Concurrent, real-time collaboration and editing tools featured. | |
Publish to Web/Embed Reports or dashboards can be embedded in other web applications or portals. |
Dashboards/reports embeddable in other web apps/portals (embedded analytics). | |
Version Control Track changes and manage multiple versions of reports or dashboards. |
Version history and rollback supported for dashboards and reports. | |
Email Distribution Automated or ad hoc distribution of reports via email. |
Distribution via automated and ad hoc email supported. | |
User Activity Logs Tracks viewing, editing, and sharing activity for collaboration oversight. |
User activity logs/audit trails available for collaboration and compliance. | |
Approval Workflows Built-in processes for reviewing and approving analytics outputs. |
Automated approval workflow can be enabled for data and report publishing. | |
Max Simultaneous Editors Maximum number of users who can actively work on the same dashboard or report. |
No information available |
Encryption In-Transit Protects data transfers from source to tool via strong cryptography. |
All data in transit is encrypted using industry standards (TLS etc.). | |
Encryption At-Rest Stored data is encrypted to prevent unauthorized access. |
Data at rest encryption is listed as part of security documentation. | |
Audit Trails Tracks all user activities for security and compliance reviews. |
Tracks all user and admin actions for compliance and review. | |
Single Sign-On (SSO) Integration Integration with enterprise SSO solutions for authentication. |
Integrates with major enterprise SSO systems (Okta, Azure AD, SAML, etc.). | |
SOC 2/ISO 27001 Compliance Certification for industry security best practices. |
Lists SOC 2 certification and ongoing pursuit/maintenance of ISO 27001. | |
Granular Permission Settings Allow custom, fine-grained control over user and group permissions. |
Permission settings can be very granular (row, column, dashboard, etc.). | |
Data Masking Ability to obscure sensitive data within the analytics environment. |
Data masking tools and field-level security described. | |
GDPR/CCPA Support Features to help comply with data privacy regulations. |
Tool provides GDPR/CCPA assistive features (consent tracking, PII redaction, etc.). | |
Password Policy Management Admin controls over password complexity and expiration across accounts. |
Admins can enforce password policies per documentation and admin panel. |
Concurrent User Support Maximum number of users who can use the product at once without performance degradation. |
No information available | |
Data Volume Handling Total volume of data that the tool can store or process efficiently. |
No information available | |
Average Query Response Time The typical time from request to response for user queries. |
No information available | |
Elastic Cloud Resources Ability to scale compute and storage resources up or down automatically. |
Cloud-native; auto-scales compute and storage elastically in cloud. | |
High Availability Built-in redundancy and failover to ensure minimal downtime. |
Architecture is described as highly available with failover/redundancy. | |
Disaster Recovery Capabilities for automated backups and restoring operations in event of failure. |
Backups and disaster recovery processes detailed in platform documentation. | |
Processing Throughput Maximum rate of data processed per minute. |
No information available |
Pre-built Statistical Functions Range of built-in statistical and mathematical functions (e.g., regression, clustering, forecasting). |
Pre-built statistical, mathematical, and forecasting functions supported. | |
Integration with ML Frameworks Ability to import/export models or call out to platforms like Python/R/TensorFlow. |
Integrates with ML platforms such as Python & R; calls out to custom models described. | |
Predictive Analytics Workflows Tooling for business users to set up and run predictive models. |
Enables predictive workflows for business users (insurance-specific use cases supported). | |
Anomaly Detection Automated identification and flagging of unusual patterns or outliers. |
Flagging of outliers, trend breakpoints, unusual claim patterns demonstrated. | |
Natural Language Generation (NLG) Automatic narrative summaries of trends and key findings in simple language. |
Automatic narrative summaries and explanation layers available (NLG features). | |
Scenario Analysis Simulate and compare alternative business or risk scenarios. |
Scenario analysis via modeling capabilities built into product. | |
Custom Script Support Ability to add custom Python, R, or SQL code for advanced analytics. |
Allows custom Python/R scripts in advanced analytics pipelines. | |
Model Versioning Track and compare multiple iterations of predictive models. |
Model versioning and lifecycle management are referenced in ML integration features. | |
Max Model Size Maximum size of a deployed machine learning model. |
No information available |
SaaS/Cloud Deployment Available as a cloud-based application delivered over the internet. |
SaaS/cloud is Domo’s default; product is cloud-native. | |
On-premise Deployment Ability to install and operate within customer-controlled infrastructure. |
No information available | |
Hybrid Deployment Supports both on-premise and cloud deployment options in parallel. |
No information available | |
Multi-Tenant Support Ability to serve multiple clients or business units from a single instance. |
No information available | |
API-first Architecture Designed with robust, documented APIs for integration and extension. |
API-first approach is mentioned, with extensive REST APIs for integration. | |
Containerization Support Supports deployment using containers such as Docker or Kubernetes. |
Supports Docker container deployment for integration with custom pipelines. | |
Single Instance Uptime Guaranteed level of uptime for the main analytics environment. |
No information available | |
Disaster Recovery RTO Recovery time objective in minutes for disaster recovery scenarios. |
No information available |
24/7 Customer Support Around-the-clock support via phone, chat, or email. |
24/7 support by phone, web, and chat is offered at most contract tiers. | |
Dedicated Account Manager Assigned contact-person for business partnership management. |
Enterprise or premium users receive a dedicated customer/account manager. | |
In-product Help Embedded context-sensitive help and documentation. |
In-product contextual help system exists in the UI. | |
Online Knowledge Base Public or private web resource for product documentation and best practices. |
Comprehensive online knowledge base is available. | |
User Community Forum An online community where users can ask questions and share tips. |
User forum and community space exists (Domo Dojo). | |
Training & Certification Formal training tracks and product certification programs. |
Formal Domo University, training, and certifications are marketed. | |
Time to Initial Response Guaranteed maximum delay before first contact from support. |
No information available |
Transparent Pricing Clear and accessible information about all product costs. |
Public pricing available for some tiers; contact sales for detailed enterprise quotes. | |
Flexible Licensing Options Multiple ways to purchase or license the product (e.g., subscription, per-user, enterprise). |
Multiple licensing methods outlined (subscription by user, enterprise, etc.). | |
Tiered Feature Packages Product features bundled into different price points or packages. |
Standard, Professional, and Enterprise feature bundles available. | |
Free Trial Availability Users can evaluate the product without immediate payment. |
Free trial sign-up is offered. | |
Pay-as-you-go Metering Usage-based billing options for flexible scaling. |
'Pay as you go'/usage-based pricing is available for certain platform features. | |
Minimum Contract Term Shortest contract commitment available. |
No information available |
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