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Data Engineering & Modern Data Platforms / SUB-PRACTICE 4.31 NEW FOR 2026-27

Data Modelling & Warehousing.

Every Data Modelling & Warehousing service AI Solution Technologies delivers — 10 in total, within the Data Engineering & Modern Data Platforms practice.

Book a scoping call →See how it runs
Dimensional and semantic modelling depthBusiness definition facilitation with stakeholdersPerformance engineering for analytical workloadsModel documentation linked to the data
BUILT ON
MicrosoftAzureAWSGoogle CloudDatabricksSnowflake

The problems Data Modelling & Warehousing exists to solve.

The same metric calculated differently in different reports
Analysts rebuilding logic in every new report
Structures that cannot answer new questions without redevelopment
No agreed definition of core business entities

What is Data Modelling & Warehousing?

SENIOR-LEDConceptual, logical and physical models
PRODUCTION-READYAgreed business definitions and glossary linkage
KPI-DEFINEDSemantic layer with certified measures

Get a free discovery sprint

Before you commit, we help you confirm the use case, check data readiness, define the KPI, and work out which of the 10 Data Modelling & Warehousing services actually fit the problem you have.

For a limited number of teams each quarter, we run the full sprint free of charge.

Claim a free sprint →
THIS SUB-PRACTICE
10SERVICES
1NEW FOR 2026-27
7STAGE DELIVERY

How Data Modelling & Warehousing runs.

01
Confirm objectives, stakeholders, constraints and success measures
Review current systems, data, controls and delivery readiness
Prepare the target design, backlog, governance and implementation plan
Test the priority requirements through a prototype, pilot or controlled design review
Configure, integrate, test and deploy the approved solution
Train users, transfer knowledge and establish operating procedures
Monitor adoption, performance, cost, quality and improvement opportunities
KEY CAPABILITIES

What we bring to Data Modelling & Warehousing.

  1. 01Dimensional and semantic modelling depth
  2. 02Business definition facilitation with stakeholders
  3. 03Performance engineering for analytical workloads
  4. 04Model documentation linked to the data catalogue
  5. 05Design that anticipates AI consumption, not only reporting

What you get, and what follows

DELIVERABLESConceptual, logical and physical modelsAgreed business definitions and glossary linkageSemantic layer with certified measuresPerformance and storage designModel documentation and lineageHandover and enablement
BUSINESS OUTCOMESOne agreed definition of every core metricReports that reconcile to each otherNew questions answered without rebuildingFaster, cheaper report developmentA data structure AI systems can reason over reliably

The 10 services inside Data Modelling & Warehousing.

10 SERVICES · 1 NEW
Data Architecture DesignTarget-state design for how data is stored, structured, moved and consumed across the organisation.Dimensional ModellingDesign of facts, dimensions and hierarchies that make analytical data intuitive and performant.Data Warehouse SolutionsDesign and build of an enterprise data warehouse supporting reporting, analytics and regulatory needs.Conceptual Data ModellingBusiness-level model of key entities and relationships, agreed with stakeholders before physical design.Logical Data ModellingPlatform-independent model defining attributes, keys, relationships and business rules.Physical Data ModellingImplementation-level model covering storage, partitioning, indexing and performance design.Semantic Data ModellingThe business-facing layer that defines measures, hierarchies and calculations so every report agrees.Star-Schema DevelopmentConstruction of star and snowflake schemas optimised for analytical query patterns.Warehouse ModernisationMigration and re-engineering of a legacy warehouse onto a modern cloud platform.AI-Ready Data PreparationNEWPreparation of enterprise data for AI use, covering cleansing, enrichment, unstructured content processing, chunking and vectorisation.
INVESTMENT & DELIVERY

How we engage on Data Modelling & Warehousing.

INDICATIVE VALUE
A$250,000 – A$1,200,000A$60,000 – A$250,000
The bands across these 10 services. Each service page carries its own; the scoping call confirms the range for your environment before anything is committed.
DELIVERY MODELS
Milestone based, or time and materials for evolving scopeFixed price or milestone based
Delivered by a senior-led Australian team across 7 stages, from discovery through to optimisation.Discuss scope and timing ›
WHO THIS IS FOR
  • Banks, insurers, superannuation funds and professional-services firms
  • Construction, engineering and infrastructure contractors
  • Government agencies and regulated public-sector bodies
  • Large enterprises and mid-market organisations undergoing modernisation

What our customers say.

All customer stories
"Reconciliation that took our team nine days now closes in three — with a full audit trail on every match. It changed how the board sees AI.
Finance ManagerGCC Construction Group, Dubai
"Site teams stopped digging through folders. They ask the assistant, they get the clause with a citation, and they move on.
Project DirectorTier-One Contractor, Sydney
"The anomaly models flag outliers the week they appear, not at quarter-end. We stopped two overruns before they hit the P&L.
Commercial DirectorProperty Developer, Dubai
"Seven subsidiaries of spreadsheets became one governed reporting platform. The executive finally trusts the numbers on the screen.
Group CFOInfrastructure Holding, Riyadh

Our partnerships with
industry leaders

MicrosoftSolutions Partner
Google CloudPartner
SalesforcePARTNER
AWSpartner
network

Elsewhere in Data Engineering & Modern Data Platforms.

The whole practice →
SUB-PRACTICE 4.1Microsoft Fabric13 servicesExplore ›SUB-PRACTICE 4.2Data Engineering & Integration18 servicesExplore ›

Scope Data Modelling & Warehousing in one call.

Tell us the problem. We'll tell you which of the 10 services fit — and exactly how we'd deliver them.

Book a scoping call →
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