Data warehouses.
Built for AI.

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.

Talk with our team Explore the architecture
Connect / The whole picture

One foundation. BI & AI.

A healthcare example: completed encounters by care site and month.

Source recordsPatients · Encounters · Care sites
  1. BronzeCapture source data
  2. SilverConnect keys & history
  3. GoldShape facts & dimensions
Care activity modelCompleted encounters · shared definitions · access
ReportsCare operations
Self-service BIPower BI · Excel
Conversational BIData agents
  • Lineage
  • Orchestration
  • Automation
  • Governance
  • Monitoring
  • Continuous integration and delivery

FROM CONNECTED DATA TO AI

A stronger foundation. More useful answers.

Integrate the
enterprise.

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 integration

Shape data
for analytics.

We 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 marts

Share meaning.
Enable exploration.

We 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 & AI

ESTABLISHED PATTERNS, IMPLEMENTED TOGETHER

From source data to useful answers.

BRONZE / AUTOMATED INGESTION

Preserve what the source tells you.

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

Connect keys, relationships, and history.

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

Give analysis a consistent structure.

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

One set of definitions.
More ways to ask.

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.

SERVICES ACROSS EVERY LAYER
  • Bronze
  • Silver
  • Gold
  • Semantic
  • LineageTrace data from source to report.
  • OrchestrationCoordinate loads and dependencies.
  • AutomationRepeat standards with tools that fit.
  • GovernanceManage definitions, quality, and access.
  • MonitoringTrack pipeline health and failures.
  • CI/CDVersion, validate, and release changes.
See how governed models support BI & AI

CERTIFIED WHERESCAPE PARTNER

Connect design,
delivery, and maintenance.

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 automation
Illustrative healthcare automation / WhereScape
  1. Discover & design / 3D

    Explore patient, encounter, and care site sources to shape the model.

  2. Build & operate / RED

    Generate encounter loads and coordinate care activity processing.

  3. Understand & maintain

    Trace encounter measures to source records through shared metadata and lineage.

Our credentials

Certified expertise.

CDVP2 Certified Data Vault Practitioner badge
Certified Data Vault
Practitioners
Microsoft Certified Azure Solutions Architect Expert badge
Microsoft-certified
Azure Solutions Architect Experts
Microsoft Certified Solutions Developer (MCSD) badge
Microsoft-certified
Solution Developers
WhereScape Certified badge: Build, Deploy, Manage — Approved
Certified WhereScape
Partner

LET’S FIND YOUR NEXT STEP

What could we build together?

Bring your challenge. We’ll bring a team ready to understand it.

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