Fragmented Microsoft Services
Data engineering, warehousing, analytics, and BI are spread across separate tools and teams.
Part of the Concinnity Enterprise Intelligence PlatformMicrosoft Data & Analytics › Microsoft Fabric
Microsoft Data & Analytics
Microsoft Fabric Consulting
Unify Data Engineering, Analytics, Real-Time Intelligence, and AI
Concinnity helps organizations design Microsoft Fabric as a governed enterprise data and analytics platform—connecting SAP and non-SAP data through OneLake, Data Factory, engineering, warehousing, Real-Time Intelligence, Power BI, and AI-assisted experiences.
SAP Systems
Enterprise Apps
Cloud Data
Files & APIs
Streaming Data
External Data
↓
Microsoft Fabric + OneLake
Data Factory • Engineering • Warehouse • Real-Time • Power BI • AI
↓
Integrate
Engineer
Analyze
Act
↓
Unified Data • Faster Insight • AI-Ready Decisions
Concinnity Point of View
Microsoft Fabric creates the most value when it is implemented as an enterprise operating model—not as a collection of disconnected workloads. Architecture, OneLake organization, governance, domain ownership, semantic models, Power BI, real-time use cases, and AI readiness must be designed together.
At a glance
A unified Microsoft platform for enterprise data and analytics
Best forOrganizations consolidating Microsoft data, analytics, BI, and AI capabilities
Business focusEnterprise insight, operational intelligence, productivity, and AI readiness
StakeholdersCIO, CDO, Data Leaders, Analytics Teams, Business and AI Leaders
Technology landscapeMicrosoft-centered and hybrid SAP–Microsoft environments
Typical outcomesUnified data, faster delivery, governed BI, real-time insight, AI readiness
Consulting focusStrategy, architecture, implementation, migration, governance, adoption
Executive questions we help answer
Turn Microsoft Fabric into a scalable enterprise platform
01
How should Microsoft Fabric fit into our enterprise data architecture?
02
How should we structure OneLake, domains, workspaces, and data products?
03
How do we connect SAP data to Fabric without creating uncontrolled duplication?
04
Which workloads belong in lakehouses, warehouses, or real-time solutions?
05
How do we modernize legacy Azure, SQL, and Power BI environments?
06
How should governance, security, lineage, and domain ownership operate?
07
How do we improve Power BI performance, reuse, and semantic consistency?
08
How do we prepare Fabric data and workloads for Copilot and enterprise AI?
Business challenges
Common barriers to a unified data and analytics platform
Duplicate Data Estates
Multiple lakes, warehouses, extracts, and semantic models increase cost and inconsistency.
Uncontrolled Power BI Growth
Reports proliferate without clear ownership, standards, reuse, or governance.
SAP Integration Complexity
SAP data extraction and business-context preservation require deliberate architecture.
Slow Data Delivery
Manual pipelines and repeated transformations delay new analytics use cases.
Limited Real-Time Insight
Operational events and streaming data are not connected to timely action.
Governance Gaps
Security, lineage, naming, ownership, quality, and lifecycle controls are inconsistent.
AI Readiness Gaps
Data lacks the quality, context, access patterns, and governance required for AI.
Solution overview
What Microsoft Fabric means for business and technology leaders
Microsoft Fabric is a unified data and analytics platform that brings together data integration, engineering, data science, warehousing, real-time intelligence, and Power BI experiences around OneLake.
Concinnity helps clients translate those capabilities into a practical enterprise architecture with clear workload choices, domain ownership, governed data products, reusable semantic models, scalable Power BI, real-time use cases, and AI-ready information.
OneLake FoundationOrganize enterprise analytics data around a unified logical data lake.
End-to-End WorkloadsConnect integration, engineering, warehousing, real-time intelligence, and BI.
Power BI at Enterprise ScaleStandardize semantic models, governance, performance, and user experiences.
AI-Assisted ProductivityUse Copilot and AI capabilities with governed data and permission boundaries.
Technology positioning
Where Microsoft Fabric delivers the greatest value
CapabilityRole in the SolutionStrategic Value
Unified Data PlatformCore
Bring multiple data and analytics workloads into one integrated Microsoft environment.
OneLakeCore
Provide a common logical lake foundation for Fabric workloads and shared enterprise data.
Data Engineering & WarehousingCore
Support lakehouse, warehouse, notebook, pipeline, SQL, and engineering patterns.
Power BICore
Deliver enterprise semantic models, reporting, dashboards, and self-service analytics.
Real-Time IntelligenceStrong Fit
Ingest, analyze, monitor, and act on streaming and event-driven data.
SAP IntegrationStrong Fit
Connect supported SAP sources through Fabric Data Factory and hybrid integration patterns.
AI & Copilot EnablementEnables
Improve authoring, exploration, development productivity, and AI consumption.
Hybrid SAP–Microsoft architecture
Connect SAP business context to Microsoft data, analytics, and AI
SAP & Enterprise ApplicationsSAP S/4HANA • SAP BW • SAP HANA • CRM • Operational Systems
↓
Integration & Data AccessFabric Data Factory • Supported SAP Connectors • APIs • Files • Replication
↓
Microsoft Fabric & OneLakeEngineering • Lakehouse • Warehouse • Real-Time Intelligence • Data Science
↓
Power BI, Copilot & Enterprise ConsumptionSemantic Models • Reports • Dashboards • AI-Assisted Insight • Applications
↓
Enterprise Intelligence & Business PerformanceVisibility • Prediction • Response • Productivity • Value
Why this matters
A hybrid architecture should preserve SAP business meaning while using Microsoft Fabric to extend engineering, analytics, real-time intelligence, Power BI, and AI capabilities.
Enterprise Architecture Blueprint
A connected Fabric architecture from ingestion to action
Enterprise Data Sources
SAP HANASAP BWSAP ApplicationsSQL & Cloud DatabasesFiles & APIsStreaming & IoT
↓
Data Integration
Data FactoryDataflow Gen2PipelinesCopy JobsEvent StreamsShortcuts
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Microsoft Fabric & OneLake
LakehouseWarehouseData EngineeringData ScienceReal-Time IntelligenceSQL Database
↓
Consumption & Intelligence
Power BISemantic ModelsOperational DashboardsCopilotAI ModelsData Applications
↓
Business Outcomes
Faster DeliveryTrusted AnalyticsReal-Time ActionLower ComplexityAI Readiness
OneLake and data-product strategy
Organize the platform around business domains, ownership, and reuse
01
Domain Architecture
Organize data and workspaces around accountable business domains and clear boundaries.
02
Data Products
Publish reusable, governed, documented data assets for analytics and AI consumption.
03
Shortcut Strategy
Use appropriate zero-copy access patterns to reduce unnecessary movement and duplication.
04
Lifecycle Management
Define development, testing, deployment, monitoring, retention, and decommissioning standards.
Real-Time Intelligence
Turn streaming events and operational signals into timely action
01Connect EventsApplications, logs, IoT, telemetry, and streaming sources
→
02Ingest & TransformEvent streams, processing, enrichment, and routing
→
03Analyze & DetectPatterns, thresholds, anomalies, and operational conditions
→
04Visualize & MonitorReal-time dashboards, tracking, and operational context
→
05ActAlerts, workflows, automation, and business response
Power BI at enterprise scale
Balance governed reuse with fast business access to insight
Fabric readiness checklist
Is your organization ready for a Microsoft Fabric initiative?
✓
We maintain separate Azure, SQL, data lake, warehouse, and Power BI environments.
✓
Data and semantic models are duplicated across teams and reporting solutions.
✓
Power BI growth has outpaced governance, ownership, and lifecycle controls.
✓
We need a clearer architecture for SAP data integration and consumption.
✓
Operational and streaming data is not available for timely analysis and action.
✓
Our data teams spend too much time maintaining disconnected tools and pipelines.
✓
We want to expand Copilot, machine learning, or enterprise AI use cases.
✓
We need a governed domain and data-product operating model.
Several items apply?
A Fabric strategy and architecture assessment can clarify workload choices, migration priorities, capacity, governance, SAP integration, and expected business value.
Concinnity delivery approach
A practical six-phase roadmap from platform strategy to adoption
01
Discover
Clarify business outcomes, workloads, stakeholders, constraints, and priority use cases.
Output: platform vision and value hypothesis02
Assess
Evaluate Azure, Power BI, data estates, SAP integration, governance, and maturity.
Output: current-state assessment03
Architect
Design OneLake, domains, workloads, security, capacity, governance, and migration.
Output: target architecture and roadmap04
Build
Implement integration, engineering, lakehouse, warehouse, real-time, and BI capabilities.
Output: production platform and use cases05
Enable
Operationalize governance, deployment, monitoring, training, adoption, and support.
Output: sustainable operating model06
Optimize
Improve performance, cost, reuse, capacity, adoption, real-time use cases, and AI readiness.
Output: continuous value improvementCore capabilities
Design a complete enterprise data and analytics platform
Fabric Strategy & Architecture
Define workload choices, OneLake design, domains, capacity, governance, and roadmap.
Data Factory & Integration
Build pipelines, Dataflow Gen2, copy patterns, connectors, and orchestration.
Lakehouse & Data Engineering
Develop scalable engineering, notebook, Spark, medallion, and data-product patterns.
Data Warehouse & SQL
Support governed analytical warehouses, SQL workloads, dimensional models, and performance.
Real-Time Intelligence
Connect event-driven data to monitoring, detection, visualization, automation, and response.
Power BI Modernization
Improve semantic reuse, governance, performance, deployment, adoption, and user experience.
SAP–Microsoft Integration
Design supported SAP data-access and integration patterns that preserve business context.
AI & Copilot Readiness
Prepare governed Fabric data, permissions, models, and operating controls for AI use.
Business value
Measure the impact across growth, efficiency, risk, and intelligence
Growth
Accelerate Data and AI Products
Reduce time from business idea to governed analytics, application, and AI use case.
Efficiency
Consolidate the Data Estate
Simplify overlapping platforms, pipelines, storage, semantic models, and support processes.
Risk
Improve Governance and Control
Strengthen security, lineage, ownership, deployment, quality, and lifecycle management.
Intelligence
Connect Batch, Real-Time, BI, and AI
Create a unified path from enterprise data to insight, prediction, response, and value.
Technology ecosystem
Microsoft Fabric across SAP, Azure, Power BI, and enterprise AI
Microsoft Fabric
OneLakeData FactoryData EngineeringData WarehouseReal-Time IntelligenceAnalytics & AI
Power BICopilotData ScienceMachine LearningAI ApplicationsSAP Landscape
SAP HANASAP BWSAP S/4HANASAP Business Data CloudSAP DatasphereAzure & Enterprise
AzureMicrosoft PurviewMicrosoft EntraAPIs & FilesOperational SystemsIllustrative engagement
Consolidating a fragmented Microsoft analytics estate
Global SAP & Microsoft Enterprise
Creating a governed Fabric platform for SAP data, enterprise analytics, and AI
Challenge
Data was distributed across Azure services, SQL warehouses, Power BI datasets, SAP extracts, and manually maintained pipelines.
Approach
Defined the Fabric target architecture, established OneLake domains, modernized pipelines and semantic models, connected SAP data, and introduced governance and real-time use cases.
Business Impact
Faster delivery, reduced duplication, stronger Power BI governance, improved operational visibility, clearer ownership, and an AI-ready data foundation.
Industry applications
Apply Microsoft Fabric across your operating environment
Related frameworks
Connect Microsoft Fabric to a broader enterprise methodology
Recommended next reading
Continue exploring the Concinnity Solutions Platform
Business solution
Connect this platform to Enterprise Intelligence
Microsoft Fabric Assessment
Ready to unify your enterprise data, analytics, real-time, and AI platform?
Concinnity can help assess your current Microsoft and SAP landscape, define Fabric's role, and create a practical architecture, migration, governance, and value roadmap.
Schedule a Fabric Strategy Session