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Practice 03 · Data & Analytics

Reports finance actually opens.

Analytics programs are won and lost in the layer beneath the dashboard — the data model, the lineage, the trust. We build modern data platforms on Fabric, Synapse and Power BI that hold up under audit, scale to enterprise volumes, and produce numbers your CFO can defend in front of the board.

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The Microsoft analytics stack

Fabric, Synapse, Power BI — and the discipline in between.

Microsoft Fabric

Unified SaaS analytics platform

The Microsoft platform that consolidates data engineering, data science, real-time analytics and BI on a single OneLake foundation — eliminating most of the integration plumbing that consumed the last decade.

Fabric capacity sizing & tenant strategy
OneLake architecture & medallion design
Lakehouse & Warehouse workloads
Data Factory pipelines & Dataflows Gen2
Real-Time Intelligence with KQL databases
Direct Lake mode for high-performance Power BI
Migrations from Synapse Dedicated Pools to Fabric

Azure Synapse & Data Lake

Enterprise data warehousing & lakehouses

For the workloads that haven't moved (or shouldn't move) to Fabric yet. Dedicated SQL Pools, Spark Pools, Data Lake Gen2 medallion architectures, and the data engineering disciplines that make them last.

Synapse Dedicated & Serverless SQL workloads
Spark Pools for large-scale data engineering
Azure Data Lake Storage Gen2 medallion design
Azure Data Factory orchestration
Azure Databricks for advanced analytics
Delta Lake & Parquet optimization
Migrations from on-prem SQL DW & Teradata

Power BI

Semantic models & enterprise BI

The dashboards, paginated reports, and certified semantic models that last past the launch demo. We build for performance, governance and self-service — not for the screenshots in next quarter's steering committee.

Tabular semantic models (DAX, calc groups, RLS)
Premium / Premium Per User capacity strategy
Composite models, aggregations, Direct Lake
Paginated reports for operational & regulatory output
Workspace governance, certified datasets, deployment pipelines
Embedded analytics in custom apps & portals
Migrations from Tableau, Qlik, SSRS, Cognos

Reference architecture

A medallion that earns its keep.

Our default Microsoft Fabric reference architecture: source systems landed into Bronze as immutable raw, conformed and cleansed into Silver, modeled into Gold dimensional or business-vault layers, and exposed through certified Power BI semantic models with Direct Lake.

Layered with Microsoft Purview for cataloging and lineage, role-based access through Entra ID groups, deployment pipelines for promotion across Dev / Test / Prod workspaces, and CI/CD via Fabric Git integration. Every report ships with a written semantic dictionary and a measurable freshness SLA.

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What we deliver

From first dataset to AI-ready platform.

Capability A

Modern data platform builds

Greenfield Fabric / Synapse / Data Lake architectures designed around your specific data domains and consumption patterns. Includes ingestion frameworks, transformation pipelines, semantic models, governance and operational runbooks.

Fabric LakehouseMedallion architectureDelta LakeDataOpsPurview lineage

Capability B

D365 / Dataverse analytics

Specialized analytics layers over Dynamics 365 and Dataverse — using Synapse Link, Fabric Mirroring, or direct OData extracts depending on workload. Pre-built semantic models for Finance, Sales, Service and Supply Chain.

Synapse LinkFabric MirroringFSCM dataCE entities

Capability C

Real-time & streaming

For workloads where last-night's data isn't enough. Event Hubs, IoT Hub, Stream Analytics, Fabric Real-Time Intelligence and KQL — feeding live dashboards, anomaly detection, and operational copilots.

Event HubsStream AnalyticsReal-Time IntelligenceKQL databases

Capability D

Migration & modernization

Legacy estate retirements done with measured care — SSAS multidimensional to tabular, SSRS to paginated, Tableau / Qlik to Power BI, on-prem SQL DW to Fabric. With parallel-run validation against legacy outputs.

SSAS → TabularSSRS → PaginatedTableau → Power BISQL DW → Fabric

Capability E

Governance & literacy

Microsoft Purview deployments, sensitivity labeling, certified dataset programs, workspace strategy, deployment pipelines, and the user-side work — training, champions networks, and the documentation people will actually read.

PurviewSensitivity labelsWorkspace strategyData literacy

FAQ

Common questions.

For new builds inside the Microsoft ecosystem, Fabric is now the strategic default — particularly when Power BI is your primary consumption layer and your data volumes are moderate to large but not extreme. Synapse remains valid for existing investments and certain dedicated-compute workloads. Databricks earns its place when ML / data science is heavy or when multi-cloud is a hard constraint. We will not push you onto Fabric prematurely if your reality says otherwise.

By workload modeling, not vendor pressure. We profile expected data volumes, refresh patterns, concurrent users, and Direct Lake adoption — then recommend an F-SKU with a documented headroom buffer. Most clients we onboard end up running smaller than their initial sales conversation suggested.

Yes. Our typical migration runs in three tracks: a like-for-like rebuild of high-priority reports, a re-architecture of the underlying semantic layer in Power BI, and a parallel-run validation period. We don't underestimate the change-management work — that's usually where these migrations actually fail.

Through Microsoft Purview for cataloging and lineage, Microsoft Information Protection sensitivity labels propagated from source to Power BI, row-level and object-level security in semantic models, and Entra ID-driven access. For regulated industries we add separate sovereign-cloud or Government Community Cloud deployment patterns.