Allostasis/Services/Track 02 — Transformation/T.03
T.03 · TRANSFORMATION

Data Platform &
Analytics Delivery
.

A governed, Microsoft Fabric-aligned data platform — built to feed reporting, analytics and AI workloads from a single source of truth, not three.

ServiceT.03 — Data Platform & Analytics Delivery
TrackTransformation
Typical scope10–20 weeks, scoped per data domain
EngagementArchitecture-led, with data engineering delivery
PrerequisiteFoundations track — Data Estate Readiness & Governance

Why this matters

Reporting is downstream of governance.

Most mid-market analytics work fails not because the dashboard is wrong, but because the data behind it has no owner, no classification, and no consistent definition. Three teams report three different revenue numbers — all technically correct.

We deliver a Fabric-aligned data platform with the governance scaffolding built in: ownership defined, semantic models versioned, lineage visible. Reporting and AI inherit a single source of truth, not three.

What it includes

Six work-streams, scoped to your environment.

01

Data domain mapping

Source systems, ownership and consumption patterns mapped per business domain — finance, ops, customer, people.

02

Fabric architecture

Lakehouse, warehouse and semantic layer designed in Microsoft Fabric, aligned to medallion architecture.

03

Ingestion & pipelines

Source connectors, scheduled ingestion, change-data-capture where relevant, and orchestration via Data Factory.

04

Semantic model

Versioned, certified semantic models in Power BI — measures, hierarchies and definitions agreed across the business.

05

Governance via Purview

Data catalogue, lineage, classification and access policies defined and instrumented in Microsoft Purview.

06

Analyst enablement

Workspace structure, certified-dataset patterns, and Power BI training pitched to internal analyst capability.

Engagement sequence

How a data platform delivery runs.

STEP 01 · WEEKS 1–3

Domain & demand mapping

Source systems, owners, definitions and reporting demand mapped per domain.

→ Domain map & backlog
STEP 02 · WEEKS 3–6

Platform design

Fabric architecture, governance model and semantic-model approach signed off.

→ Approved data architecture
STEP 03 · WEEKS 6–14

Build & first domain

Platform stood up. First data domain delivered end-to-end — ingestion, model, dashboards.

→ First domain in production
STEP 04 · WEEKS 14–20

Scale & handover

Additional domains delivered. Governance and analyst operating model handed to internal team.

→ Owned, governed platform

Outcomes

What you have at the end.

SINGLE TRUTH

One certified definition of every key metric.

Revenue, customers, NPS, headcount — defined once, versioned, reused.

AI-READY

A platform AI workloads can land on.

Lineage, classification and access in place — Copilot and custom AI inherit a governed surface.

SUSTAINABLE

Internal analysts shipping without dependency.

Workspace patterns, certified datasets and a clear governance model — not a retained engagement.

Before you start here

Foundations check

This service assumes a baseline of Data Estate Readiness — classification, ownership and governance scaffolding. If that is not yet in place, start with a Readiness Conversation; we will sequence foundations and platform delivery together.

Other transformation services

What sits alongside.

The next step

Build the platform every analytics and AI initiative will land on.

Forty-five minutes with a senior architect. We'll ask about your data sources, reporting reality and governance maturity — and tell you honestly where to start.