Evaluate InetSoft's REST API Dashboarding Solution

Are you looking for a dashboarding platform that connects to a REST API? InetSoft's pioneering dashboard reporting application does and enables secure interactive dashboards and analytics. View a demo and try interactive examples.

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About InetSoft

Since 1996 InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. Application highlights include visually-compelling and interactive dashboards that ensure greater end-user adoption plus pixel-perfect report generation, scheduling, and bursting. InetSoft's patent pending Data Block™ technology enables productive reuse of queries and a unique capability for end-user defined data mashup.

This capability combined with efficient information access enabled by InetSoft's visual analysis technologies allows maximum self-service that benefits the average business user, the IT administrator, and the developer. InetSoft was rated #1 in Butler Analytics Business Analytics Yearbook, and InetSoft's BI solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

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What Are the Feature Requirements for a REST API Dashboarding Solution?

Designing a REST API dashboarding solution requires careful consideration of the features and functionalities needed to support data visualization, dashboard customization, user management, and integration with other systems. Here are some key feature requirements for a REST API dashboarding solution:

  1. RESTful API Endpoints: The solution should provide a set of RESTful API endpoints for accessing and manipulating dashboard data, including retrieving data sources, creating, updating, deleting dashboards, and fetching data for visualization.

  2. Data Source Connectivity: The ability to connect to various data sources such as databases, data warehouses, APIs, and cloud storage services is essential. The solution should support a wide range of data formats and protocols, including JSON, CSV, SQL, and NoSQL databases.

  3. Data Visualization Widgets: The solution should offer a variety of data visualization widgets (e.g., charts, graphs, tables, maps) for presenting data in a visually appealing and interactive manner. Widgets should support customization options such as colors, labels, axes, and data aggregation functions.

  4. Dashboard Customization: Users should be able to create, customize, and personalize dashboards according to their specific requirements. This includes the ability to add, remove, resize, and rearrange widgets, as well as customize dashboard layouts, themes, and styles.

  5. User Authentication and Authorization: The solution should provide robust authentication and authorization mechanisms to control access to dashboards and data. This includes user authentication (e.g., username/password, OAuth) and role-based access control (RBAC) to define user roles and permissions.

  6. User Management: Administrators should be able to manage user accounts, roles, and permissions, including user registration, password management, and user group assignments. User management features should also support LDAP/Active Directory integration for centralized authentication.

  7. Real-Time Data Updates: The solution should support real-time data updates and streaming capabilities to provide users with up-to-date information and enable dynamic data visualizations. This includes support for WebSocket or SSE (Server-Sent Events) protocols for real-time data communication.

  8. Scheduled Reports and Alerts: Users should be able to schedule automated reports and alerts based on predefined criteria (e.g., threshold values, time intervals). This allows users to receive notifications via email, SMS, or other channels when certain conditions are met.

  9. Data Filtering and Drill-Down: Users should be able to filter and drill down into data to explore specific subsets or dimensions of the data. This includes support for dynamic filtering, sorting, and grouping of data within widgets and dashboards.

  10. Integration with External Systems: The solution should support integration with external systems and services, such as CRM platforms, business intelligence tools, and analytics platforms. This includes APIs, webhooks, and data connectors for seamless data exchange and interoperability.

  11. Scalability and Performance: The solution should be scalable and able to handle large volumes of data and concurrent users without compromising performance. This includes support for horizontal scaling, load balancing, caching, and optimization techniques to ensure responsiveness and reliability.

  12. Custom Branding and White-Labeling: Organizations should have the option to customize the branding and appearance of the dashboarding solution to align with their corporate identity. This includes custom logos, color schemes, and branding elements.

  13. Audit Logging and Compliance: The solution should provide audit logging capabilities to track user activities, changes to dashboards, and data access events for compliance with regulatory requirements (e.g., GDPR, HIPAA). Audit logs should be tamper-proof and securely stored.

  14. Documentation and Support: Comprehensive documentation, tutorials, and support resources should be available to help users get started with the dashboarding solution, troubleshoot issues, and leverage advanced features effectively.

why select InetSoft
“Flexible product with great training and support. The product has been very useful for quickly creating dashboards and data views. Support and training has always been available to us and quick to respond.
- George R, Information Technology Specialist at Sonepar USA

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