DATA & AI CONSULTING

Data warehouses.
Built for AI.

Our certified consultants bring established architecture practices together in enterprise data warehouses for managed self-service and conversational BI. We implement across platforms, with deep experience in Azure Synapse and Microsoft Fabric.

Talk with our team Explore the architecture

Proven practices. Connected by experience.

01 / Industry patterns we bring together

One foundation. BI & AI.

We combine established industry practices within medallion layers: automated source capture in Bronze, Data Vault integration and history in Silver, and enterprise Kimball facts and conformed dimensions in Gold. A governed semantic layer provides shared business views for managed self-service and conversational BI from the same warehouse. Platform services support every layer. WhereScape is an optional implementation tool.

Source systemsApplications · Files · APIs
  1. Bronze
    Automated
    Source capture
  2. Silver
    Data Vault
    Integration & history
  3. Gold
    Kimball
    Facts & dimensions
Governed semantic layer Shared views · Measures · Access rules
Managed self-service BIPower BI · Excel
Conversational BIData agents
Supporting every layer
  • Metadata & lineage
  • Orchestration
  • Automation
  • Governance
  • Monitoring
  • CI/CD
Explore the architecture

THE PRINCIPLE BEHIND OUR DELIVERY

The model is
the product.

Our expertise is putting proven industry practices to work together: source history, enterprise analytics, and shared business meaning. We implement reusable models so the same warehouse supports managed self-service BI and AI through conversational BI.

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.

The medallion pattern separates source capture, integration, and consumption. We implement it with automated Bronze ingestion, Data Vault in Silver, and enterprise Kimball models in Gold, then add a governed semantic layer. These are established industry approaches; our expertise is making them work together for your business.

SOURCE SYSTEMSBusiness applications, operational databases, files & APIs

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.

  • Automated source capture
  • Source fidelity
  • Reusable foundation

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.

  • Hubs, links & satellites
  • Raw Vault
  • Business Vault

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.

  • Defined fact grain
  • Conformed dimensions
  • Enterprise bus

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.

  • Shared semantic views
  • Managed self-service
  • BI & AI reuse

SERVICES ACROSS EVERY LAYER

  • Metadata & lineage
  • Orchestration
  • Platform-appropriate automation
  • Governance
  • Monitoring
  • CI/CD
TWO WAYS TO EXPLOREManaged self-service BI: Power BI & Excel   /   Conversational BI: natural-language questions through data agents
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

One implementation option: WhereScape

  1. Discover & design / 3D

    Understand source data and shape models around your business.

  2. Build & operate / RED

    Generate native warehouse code and coordinate data processing.

  3. Understand & maintain

    Use shared metadata, documentation, and lineage to manage change.

An optional connection between design, delivery, and maintenance. The same enterprise architecture can be implemented with other tools.

YOUR GOALS. OUR SHARED FOCUS.

Specialists in data.
Partners in your progress.

Great solutions start with understanding your business. Our consultants bring architecture, implementation, automation, and domain knowledge to the same table.

Get to know Pointer
01

Business context first

We start with the problem, the people, and the constraints. Then we choose the technology.

02

Advice backed by delivery

Our team connects architecture decisions to hands-on implementation.

03

Knowledge that stays with you

Documentation, mentoring, and collaboration help your team own what we build together.

Our team includes

Certified specialists.

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 Solution Developer (MCSD) badge
MCSD
Developer credential

HOW WE WORK

A clear path, from the start.

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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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