Model-driven DWH development and automation
By using metadata definitions, automatically derive your technical specifications for your DWH implementation based on clearly defined and mapped business data requirements.
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Delivering efficiency and saving costs
Accelerate the development of data-intensive projects and reduce your costs.
Business glossary harmonization
Consolidate your company-wide terminology across departments and get everyone on the same page.
Data catalog
Complete organized inventory of company-data assets, including data structures, elements, and all related technical metadata across all layers of your data architecture.
Data mappings
Create concrete structured mappings of your data across all layers in your architecture. Define precise filtering and join conditions on how to retrieve information from all related systems.
Business data modeling
Define your organization-specific harmonized business data model in terms of subject areas, entities, attribute definitions, and attributes and get a contextual, focused visualization of your business data model.
Data lineage and traceability
Understand how data is calculated and processed, how the data flows throughout the company, and analyze reports and processes that are affected by missing data or data changes.
Automated data-model derivation
Automate the creation of physical data models based on modeled business data.
List of values, domain values, and hierarchies
Standardize domain codes by defining business domain codes and map those to actual representations in data.
