Discover & design with 3D
Source discovery, profiling, and model design help teams understand their data and agree on the warehouse structure before delivery.
Our services
Established architecture.
Expert implementation.
We bring established industry approaches together to implement enterprise warehouses: automated Bronze ingestion, Data Vault integration in Silver, enterprise Kimball models in Gold, and shared semantic views for managed self-service and conversational BI. We work across platforms, with deep experience in Azure Synapse and Microsoft Fabric.
01 / Data Vault architecture
Preserve the history.
Connect the whole picture.
Our certified Data Vault practitioners apply an established approach to enterprise integration. In Silver, hubs represent business concepts, links capture relationships, and satellites retain descriptive history and source context. This separation helps the warehouse accommodate new sources and changing requirements.
We implement Raw Vault patterns to preserve source-aligned history and Business Vault patterns for reusable business rules. That separation supports traceability and lets analytical models evolve without redefining the underlying integration history.
For Gold, we apply the Kimball approach: facts at an agreed grain, conformed dimensions shared across business processes, and an enterprise bus matrix to plan their reuse. Incremental delivery then contributes to a coherent enterprise warehouse, with consistent ways to compare business activity.
- Data Vault architecture, modeling, and reviews
- Raw Vault and Business Vault implementation
- Enterprise bus matrices, Kimball facts, and conformed dimensions
- Delivery, mentoring, and team augmentation
Silver / established Data Vault patterns
HubCustomerBusiness key
SatelliteCustomer detailsAttributes + history
LinkPurchaseTransaction item
SatellitePurchase detailsAttributes + history
HubProductBusiness key
SatelliteProduct detailsAttributes + history
02 / Azure Synapse & Microsoft Fabric
The architecture matters.
So does the implementation.
We bring deep implementation experience in Azure Synapse Analytics and Microsoft Fabric. The medallion pattern organizes the warehouse into layers with distinct responsibilities; Data Vault, Kimball, and semantic modeling supply the design patterns within them.
Automated Bronze ingestion gives the warehouse a consistent source foundation. Clear responsibilities across the layers support traceability, shared business meaning, and a platform that can evolve with the organization. We adapt the implementation to your environment, priorities, and team's capabilities.
- Synapse and Fabric architecture and implementation
- Automated Bronze ingestion and dependable data delivery
- Migration planning and cloud or hybrid integration
- Governed access and maintainable platform standards
Industry patterns / one enterprise warehouse
- 01Bronze / automated ingestion
Preserve source context in a reusable warehouse foundation.
- 02Silver / Data Vault integration
Connect business keys, relationships, and history across sources.
- 03Gold / enterprise Kimball models
Align facts and conformed dimensions across business processes.
- 04Semantic / shared business views
Reuse definitions and measures in managed self-service and conversational BI.
03 / Semantic models & managed self-service
Build the model once.
Support many ways of working.
Semantic layer architecture gives people a shared business view of the warehouse. We implement reusable definitions, measures, relationships, and access rules over Gold models so each report does not need to recreate business logic.
Managed self-service gives central teams responsibility for shared models and definitions while business teams create reports and explore approved data. Those same semantic views also provide a foundation for conversational BI, with prepared metadata and evaluated questions.
- Shared metrics, calculations, relationships, and hierarchies
- Row-level and object-level access design
- Documented, versioned semantic models
- Separate model and report deployment across environments
Shared semantics / managed self-service and AI
Power BI thin reports
Build departmental views using the shared model's definitions and measures.
Excel self-service
Give analysts a governed model to explore through familiar tools.
Conversational BI
Ground natural-language questions in prepared data and business context.
04 / AI & conversational BI
Give AI the context
behind your data.
The same enterprise warehouse that serves reporting and managed self-service can support conversational BI. Shared semantic definitions help data agents interpret business questions using governed measures and approved data.
We connect conversational experiences to that foundation, with business vocabulary, appropriate access, and evaluation against agreed expectations. Ontologies can add context about business entities and relationships where useful. The aim is another useful way to explore the warehouse with clear business meaning.
- Governed data and semantic foundations for AI
- Business vocabulary and contextual models
- Data agents with appropriate access to approved sources
- Answer evaluation with business stakeholders
Semantic models define the governed calculations. Additional business context helps agents interpret questions; results still need evaluation against your expectations.
Explore AI over your business dataFrom business context to useful answers
Semantic models
Shared metrics, calculations, and analytical relationships.
Business context
Agreed vocabulary and relationships, with ontologies where useful.
Data agents
Explore approved data through natural-language questions.
05 / Optional WhereScape automation
From design to delivery.
Connected through change.
WhereScape connects warehouse design, automated delivery, and ongoing maintenance. As a certified partner with considerable implementation experience, we apply its capabilities to your architecture and standards. It is optional: we also implement this architecture using other tools that fit your platform and team.
Build & operate with RED
Native code generation, loading, and orchestration carry the design into the target platform, reducing repetitive work and supporting consistent delivery.
Understand & maintain
Shared metadata, documentation, lineage, and impact analysis help teams understand dependencies and manage the warehouse as requirements change.
Supporting your data platform
Applications that
connect the platform.
Our .NET expertise supports the wider solution: APIs, business applications, and integration services that connect people and systems to your data. We can shape the architecture, build the software, or contribute to your existing development team.
Talk about application supportWays to engage
The expertise you need.
A scope that fits.
We agree on the work, responsibilities, and outcomes around your priorities and existing team.
Architecture & review
Assess your current warehouse, clarify the target architecture, and identify a practical path forward.
Implementation & improvement
Deliver a new warehouse or strengthen an existing layer, from integration and automation to analytics and shared semantics.
Team expertise & enablement
Add specialist capacity, architecture guidance, and mentoring so your team can deliver and maintain the solution.
Start with your data challenge
From a sound foundation
to more useful answers.
Bring your architecture, automation, or analytics goals. We will help you identify a practical next step.