Solutions > AnalyticsOne

AnalyticsOne

One source of truth your people and your agents share. Microsoft Fabric gives you one governed platform on OneLake.

Teams lose days reconciling numbers across Synapse, Databricks, SSIS, and Power BI, and still argue about which is right. AnalyticsOne ends that.

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Source of truth on OneLake

Ontology

Your business, defined once

Real-time

Insight that triggers action

AI-ready

The ground your agents stand on

What your business can finally do

★ Flagship

Your data finally speaks business

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A Business Ontology on Fabric IQ. Warehouses know tables. Fabric IQ knows your business: customers, products, assets, and how they relate, defined once and understood identically by every report and every agent.

How it works

Fabric IQ is the newest layer of the Microsoft data stack. We model your core business entities and relationships as an ontology over OneLake, so semantic models, data agents, and Copilot all inherit one meaning.

Microsoft stack
Fabric IQOneLakeSemantic ModelsPurview

Conversational Analytics

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Ask your data questions in plain English and get governed answers with lineage behind them, not guesses.

How it works

We stand up Copilot in Power BI and Fabric data agents over your governed semantic models and ontology, so executives and front-line teams query by asking.

Microsoft stack
Fabric Data AgentsPower BI CopilotFabric IQSemantic Models

A Digital Twin of Operations

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Your plants, fleets, and networks modeled as live digital twins, so you can watch, replay, and interrogate operations like a system.

How it works

Fabric's digital twin builder lets us model physical operations as connected, live entities fed by streaming data. Operators see current state in context, analysts replay incidents.

Microsoft stack
Digital Twin BuilderReal-Time IntelligenceAzure IoTOneLake

The Trusted Metric Layer

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One certified set of numbers for the P&L, the board pack, and the Monday meeting, served fast on DirectLake.

How it works

We consolidate overlapping models into certified, governed semantic models on DirectLake: near-real-time performance without refresh windows, one definition per metric, and deployment pipelines.

Microsoft stack
Power BIDirectLakeSemantic ModelsDeployment Pipelines

The Operational Command Center

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See operations as they happen and respond in seconds: live signals in, alerts and actions out.

How it works

Fabric Real-Time Intelligence ingests streaming signals through Eventstream, lands them in KQL for sub-second queries, and turns thresholds into action with Activator.

Microsoft stack
Real-Time IntelligenceEventstreamData ActivatorKQL

The AI-Ready Data Foundation

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Your agents are only as good as the ground they stand on. We make your data estate the ground truth AI can act on safely.

How it works

OneLake shortcuts and mirroring bring your data into one logical lake without mass copying, Purview supplies lineage and access control, and the ontology supplies meaning.

Microsoft stack
OneLakeMirroringPurviewFabric IQ

How we get you there

Fabric Implementation

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A production-ready Fabric platform from day one: capacity sized, medallion lakehouse stood up, governance wired in.

How it works

We size Fabric capacity to your workloads, stand up a medallion (bronze, silver, gold) lakehouse on OneLake, build ingestion and transformation with Data Factory, and wire in Purview governance.

Microsoft stack
Microsoft FabricOneLakeData FactoryPurview

Power BI Modernization

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Faster, always-fresh reports and one governed set of metrics, instead of conflicting models and refresh delays.

How it works

We migrate Import and DirectQuery models to DirectLake, consolidate overlapping semantic models into governed shared datasets, and set up deployment pipelines across dev, test, and production.

Microsoft stack
Power BIDirectLakeSemantic Models

Fabric Migration

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A clean path off Synapse dedicated pools, SSIS, and on-prem warehouses, with reports and pipelines running until the cutover is proven.

How it works

We assess your current estate, map each workload to its Fabric equivalent or its Databricks home, and migrate in phases with parallel validation.

Microsoft stack
Microsoft FabricSynapseDatabricksOneLake

With Databricks, when the lakehouse leads

Lakehouse Engineering at Scale

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Petabyte-class pipelines and transformations on Azure Databricks, for the workloads that need serious compute.

How it works

We build Delta Lake lakehouses with Delta Live Tables pipelines and Photon-accelerated processing: declarative, tested data engineering that scales to your heaviest workloads.

Microsoft stack
Azure DatabricksDelta LakeDelta Live TablesPhoton

ML & AI on Databricks

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Feature engineering, distributed training, and the MLflow lifecycle where your data already lives.

How it works

For ML workloads that belong next to the lakehouse, we build on Databricks: feature pipelines, distributed training, and MLflow experiment tracking and registry.

Microsoft stack
MLflowMosaic AIAzure DatabricksAzure Machine Learning

Unity Catalog Governance

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One governance plane across every workspace: who touched what data, when, and why, answerable in seconds.

How it works

We implement Unity Catalog for centralized access control, lineage, and audit across your Databricks estate, and align it with Purview so governance reads as one story.

Microsoft stack
Unity CatalogAzure DatabricksMicrosoft Purview

Databricks + Fabric, Better Together

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The two-platform architecture: Databricks does the heavy engineering, Fabric serves the business, no copies in between.

How it works

We mirror Unity Catalog into OneLake with shortcuts, so data engineered on Databricks lands in Power BI, Fabric data agents, and the ontology without duplication.

Microsoft stack
Unity CatalogOneLake ShortcutsMicrosoft FabricPower BI

Azure data services, where Fabric is not the fit yet

Data Engineering

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Reliable, self-updating data pipelines that keep every source current, so teams act on fresh data instead of stale extracts.

How it works

We build metadata-driven Data Factory pipelines and Databricks notebooks with incremental loads and change data capture, so ingestion scales to new sources through configuration.

Microsoft stack
Azure Data FactoryAzure DatabricksDelta LakeAzure SQL

Streaming & Event Processing

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Insight the moment data arrives, so operations react to events in real time instead of waiting for tomorrow's report.

How it works

We ingest events through Event Hubs, apply windowed aggregations in Stream Analytics, and stand up event-driven architectures that react to data as it arrives.

Microsoft stack
Azure Event HubsStream AnalyticsAzure FunctionsPower BI

Data Warehousing

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A well-modeled warehouse that answers questions in seconds and scales as you grow, migrated cleanly off aging on-prem systems.

How it works

We design dimensional models, tune Synapse for distribution, indexing, and partitioning, and migrate on-prem warehouses with validated, reconciled cutovers.

Microsoft stack
Azure SynapseDedicated SQL PoolAzure SQLSSIS

Data Governance & Compliance

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Data people can find, trust, and use safely, with catalog, lineage, and HIPAA, FERPA, and FedRAMP-aligned controls built in.

How it works

We scan and classify data with Purview, build a catalog and business glossary, map end-to-end lineage, and enforce access policies aligned to HIPAA, FERPA, and FedRAMP.

Microsoft stack
Microsoft PurviewEntra IDAzure Policy

Ready for a YOUR ASSESSMENT?

Start with a readiness assessment to evaluate your current estate and build a transformation roadmap.

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