Opendatasoft Data Marketplace Solution is a SaaS platform designed to centralize, manage, and automate the sharing and consumption of data assets within organizations and their ecosystems. It enables the creation of secure, customizable data portals and marketplaces that provide self-service access to structured and unstructured data from multiple internal and external sources. The platform supports integration with existing IT systems, automates data management tasks, and offers tools for data visualization, cataloging, and API-based distribution. Its focus is on making data discoverable, reusable, and actionable for both technical and non-technical users, supporting operational efficiency, data-driven decision-making, and new revenue streams through data monetization.

Key Features

Centralized Data Management Centralize all organizational data assets, structured or unstructured, from any source.

• Supports internal, external, open, and partner data.
• Integrates with BI tools, data lakes, and other storage solutions.

Customizable Data Portals & Marketplaces Create branded, user-friendly portals for internal or public data sharing.

• Personalize access, design, and catalog structure.
• Segment data exposure for different audiences.

Automation API Automate over 150 marketplace management tasks and data flows.

• Schedule updates, automate publication, and streamline administration.
• Ensure real-time data updates and integrity.

Self-Service Data Access Enable users of all skill levels to discover, access, and use data.

• AI-powered search for quick, relevant results.
• No-code tools for creating dashboards, visualizations, and apps.

Integration & Interoperability Connect with existing business applications and data management tools.

• Native connectors and APIs for seamless integration.
• Export data in multiple formats (CSV, JSON, etc.).

Data Visualization & Reporting Transform data into interactive visualizations and dashboards.

• No-code tools for building graphs, maps, and tables.
• Share reporting pages and KPIs with stakeholders.

Data Quality & Enrichment Standardize, clean, and enrich data using built-in processors and external datasets.

• Access to a Data Hub with over 25,000 public datasets.
• Merge and contextualize data for deeper analysis.

Benefits

Operational Efficiency Automate and centralize data processes to reduce manual work and errors.

• Save time with automation and streamlined workflows.
• Free up resources for higher-value tasks.

Data Democratization Empower all users to access and use data, fostering a data-driven culture.

• Self-service tools lower technical barriers.
• Enhance collaboration and data literacy across teams.

Accelerated Decision-Making Provide up-to-date, actionable data for faster, informed decisions.

• Real-time dashboards and reporting.
• Reduce research time and improve responsiveness.

Revenue Generation Monetize data assets by offering Data as a Service (DaaS).

• Create new revenue streams from data products.
• Support customer retention and differentiation.

Scalability & Security Deploy at scale with enterprise-grade security and compliance.

• Segregate data, customizable access controls, and SSO.
• Reliable, secure platform for sensitive data sharing.