We build enterprise data warehouses that connect systems, preserve history, and make data useful. Our team brings considerable experience in SQL Server, Azure Synapse, and Microsoft Fabric, plus implementation experience in Databricks and Snowflake. We combine architecture, automation, and delivery with documentation and mentoring to help your team maintain and extend the solution.
Shared semantic models give all reports consistent definitions, measures, and access rules. They enable managed self-service BI in Power BI and Excel and conversational BI, giving AI agents the governed data and business context to answer questions.
FROM CONNECTED DATA TO AI
We apply established Data Vault patterns in Silver: hubs for business keys, links for relationships, and satellites for source history. Separating these concerns helps integration adapt as systems change.
Data Vault integrationWe apply Kimball enterprise dimensional modeling in Gold. Facts at a defined grain and conformed dimensions connect business processes, supporting consistent analysis across departments.
Dimensional models & information martsWe use semantic layer practices to provide shared business views, measures, and access rules for managed self-service BI. Data agents can use the same governed models for conversational BI.
Governed models for BI & AIESTABLISHED PATTERNS, IMPLEMENTED TOGETHER
BRONZE / AUTOMATED INGESTION
Automated ingestion gives Bronze a consistent record of source data before integration and business rules are applied. Preserving that source context supports traceability and provides a reusable foundation for the layers above. Established automation practices reduce repetitive development and help teams bring new sources into the warehouse consistently.
SILVER / DATA VAULT INTEGRATION
Data Vault separates business keys into hubs, relationships into links, and descriptive history into satellites. We use those established patterns to integrate changing sources without tying the warehouse to one source schema. Raw Vault preserves source history; Business Vault applies reusable business rules. This gives Silver a durable basis for traceability, change, and downstream reuse.
GOLD / ENTERPRISE KIMBALL MODELS
Kimball's enterprise bus approach connects business processes through conformed dimensions. We implement facts at an explicit grain and shared dimensions across information marts. Gold turns integrated history into structures people can query efficiently, enabling comparable analysis across departments and incremental delivery without isolated reporting silos.
SEMANTIC / SHARED BUSINESS MEANING
Semantic layer architecture gives teams shared business views over Gold, with centrally managed measures, relationships, and access rules. We implement reusable models for managed self-service: specialists maintain the definitions while teams explore in Power BI and Excel. Data agents can query selected models for conversational BI, using the same warehouse foundation; ontologies can add business context.
CERTIFIED WHERESCAPE PARTNER
WhereScape can connect source discovery and model design with automated warehouse delivery and ongoing maintenance. As a certified partner, we bring considerable experience applying those capabilities to established enterprise architectures.
Shared metadata, generated code, documentation, and lineage help teams carry design decisions through the warehouse lifecycle. WhereScape is optional: we also implement this architecture with the platform and automation tools that fit your organization.
Explore WhereScape automationUnderstand source data and shape models around your business.
Generate native warehouse code and coordinate data processing.
Use shared metadata, documentation, and lineage to manage change.
Our credentials
LET’S FIND YOUR NEXT STEP
Bring your challenge. We’ll bring a team ready to understand it.