Data warehouses.
Built for AI.

Our consultants design and build enterprise data warehouses that connect your business systems for reporting, analysis, and AI. Shared definitions and reusable models help your teams spend less time reconciling reports and more time answering business questions. That foundation supports self-service analysis and conversational AI.

Start with a platform change, a difficult data source, or reporting that no longer meets your needs. We can review the architecture, deliver a focused improvement, or work alongside your team. We work with your tools and standards, and help your team maintain and extend what we build.

  • Data VaultCertified practitioners
  • Microsoft AzureCertified architects
  • WhereScapeCertified partner
01 / Connect your data

One foundation. Shared answers.

Turn records from different systems into meaning everyone can reuse.

Business systemsApps · databases · APIs
  1. Capture the records.Bronze / source data & ODS
  2. Connect records & history.Silver / Data Vault
  3. Shape data for analysis.Gold / Kimball star schemas

Shared semantic model

Business meaning for reports & AI

  • Measures
  • Context
  • Access rules

Connect once. Reuse across the business.

See the architecture

Managed self-service

Business-owned reports.
Centrally managed data.

Prepare once. Govern centrally. Explore freely.
The challenge
  • Repeated data prep
  • Conflicting numbers
  • Scattered access rules

Central team / build & govern

  1. BronzeSource data & ODS
  2. SilverData Vault
  3. GoldDimensional marts

Shared semantic models

Measures · Definitions · Relationships

Centralized model securityWho can see which rows, tables & columns
Update the model once. Reuse it everywhere.

Connected reports and dashboards use the same data and measures as they refresh.

Reports

Power BI thin reports

Build views. Reuse the logic.

Dashboards

Team & executive views

Track consistent business measures.

Analysis & exploration

Excel · Copilot & data agents

Answer new business questions.
Managed centrallyData · Models · Security

Less repeated maintenance

Business teams / focus on value

More time for reporting & analytics.

  • Build reports
  • Find insights
  • Inform decisions

From structured data to intelligent action

A shared foundation
for trusted AI.

The same shared models can support conversational BI, giving people and AI agents consistent measures, business context, and governed access.

Better structure + better context / more trusted AI interactions

Structured data

Integrated · Curated · Traceable

Business context

Terms · Rules · AI instructions

Semantic models

Business meaning AI can use

  • Agreed measures
  • Relationships
  • Access rules

Ask directly

Answers without building a report.

You ask

“Why did sales change this quarter?”

Copilot & data agents An answer grounded in the model
  • Agreed sales measure
  • Business calendar
  • Source context

More people can answer their own questions.

Expand as the architecture matures

Agents coordinate across models.

Domain semantic models / illustrative

  • Sales
  • Finance
  • Operations
Enterprise ontology

Shared entities & relationships

CustomerplacesOrdercontainsProduct
Configured agent workflow
  1. Query models
  2. Combine findings
  3. Coordinate actions

Reuse business meaning in larger processes.

Trust grows through validation.
  • Trace sources
  • Check answers
  • Verify access

THE FOUNDATION BEHIND BI & AI

From source records to shared answers.

Behind self-service BI and conversational AI, each layer has a clear job: preserve source context, integrate history, simplify analysis, and share definitions. Established patterns make these layers highly automatable, with lineage connecting source capture to shared measures.

  1. 01 Bronze / ODS

    Capture once. Reuse.

    ODS tables follow source structures and retain load metadata, so downstream teams can reuse captured data, recognize its keys and values, and investigate its origin.

    See the Survey source tables
  2. 02 Silver / Data Vault

    Adapt as sources change.

    Data Vault separates keys, relationships, and attribute history to accommodate source changes. Reusable integration and recorded origins reduce repeated source mapping and support audits.

    See the Survey Data Vault
  3. 03 Gold / Kimball

    Make analysis simpler.

    Kimball star schemas organize facts at a clear grain with shared dimensions, so analysts spend less time rebuilding joins and reconciling business context.

    See the Survey star schemas
  4. 04 Semantic / Models

    Define once. Share.

    Shared semantic models capture business understanding in definitions, relationships, and measures. Paired with AI instructions, they support consistent reporting and more trusted conversational analytics.

    See shared models & agents

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

CONSULTING SUPPORT

Choose how we can help.

Get architecture and implementation support on your chosen platform, including WhereScape customizations when they fit your approach.

We automate repetitive model and loading work using established ODS, Data Vault, and dimensional patterns, tailored to your standards. Your team gains reusable foundations and the guidance to extend them.

LET’S FIND YOUR NEXT STEP

What could we build together?

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

Explore consulting packages