Data Modeling Made Easy

The platform’s intuitive, user-friendly visual modeling function supports various notations and provides a clear, readable view of data structures and relationships through:

• Visualization in Web UI: With visual representation of objects directly in the Web UI, users can better understand data, identify patterns and organize objects in an interactive interface. Click on or mouse over graphical objects to receive more information or navigate directly to them.

• Visual integration with external tools: Embed analytics data directly through integration with platforms like Tableau, Qlik and Power BI. Widgets and screens enable the visualization of operational information and lets users see trends without exiting the Web UI. For Power BI specifically, users can interact with reports, dashboards and tiles for seamless analysis and data-based action.
• Data containers: Complex entity and product data can be represented and structured through composite attribute objects, simplifying revision handling, data workflow management and collective data saving and approval processes.

The platform’s intuitive, user-friendly visual modeling function supports various notations and provides a clear, readable view of data structures and relationships through:

• Visualization in Web UI: With visual representation of objects directly in the Web UI, users can better understand data, identify patterns and organize objects in an interactive interface. Click on or mouse over graphical objects to receive more information or navigate directly to them.

• Visual integration with external tools: Embed analytics data directly through integration with platforms like Tableau, Qlik and Power BI. Widgets and screens enable the visualization of operational information and lets users see trends without exiting the Web UI. For Power BI specifically, users can interact with reports, dashboards and tiles for seamless analysis and data-based action.
• Data containers: Complex entity and product data can be represented and structured through composite attribute objects, simplifying revision handling, data workflow management and collective data saving and approval processes.

Support overall system auditing functionality and assist system administrators with impact analysis. Easy-to-use change management features include:

• Revision control: All major data objects in the Stibo Systems Platform are under revision control, which means previous versions of an object can be viewed, compared and revived at any time. This allows users to revert to previous versions of an object and see who made what changes at what time.
• Change packages: In the platform, these packages are designed to group, analyze and migrate configuration changes between information systems to minimize offline configuration tracking and faulty changes. Well-documented changes can be transferred between environments, such as development, test, acceptance and production (DTAP).
• Logging and audit trails: Detailed tracking guarantees comprehensive audit trails. Logs for change packages include item URLs for additions and deletions, as well as information on sealing, reopening, importing, analyzing and installing.
• Version control system (VCS) integration: This functionality maintains consistency across systems and ensures that changes are not only well-documented but synchronized. Stibo Systems Platform integrates directly into VCS for version tracking and comparison.
• Data standard updates: Any changes made to a data model – including adding, modifying or deleting attributes or nodes – are synchronized with product data syndication or product data onboarding services to assure the accurate reflection of updates and maintain consistency.

Stibo Systems Platform enables you to capture and manage the metadata associated the data modeling process, enhancing data understanding and traceability. This includes metadata such as:

• Object types and structures: Entered items are modeled as objects with metadata properties like IDs, valued attributes and references. This structured setup makes data easy to manage.
• Wiki metadata: With this data catalog connector, the platform captures configuration governance metadata on system setup objects to document attribute purposes and integration endpoints. The XWiki platform can be launched from the workbench and Web UI and features searchable content.

• Data onboarding functionality: Data mapping between industry standard or proprietary data models extends to correctly associating metadata with data models during import.
• Metadata importer: The flexible platform is compatible with custom plugins to extend and modify import functionality. This includes mapping metadata fields to data attributes, which can be sourced from a metadata import file or embedded within the asset file itself (EXIF, XMP data, etc.).
• Component models: The user-friendly platform imports and exports this information, including references to applicable reference types, object types and attributes. This ensures that associated metadata is maintained and transferable across systems.