Fragmented Landscapes
Critical data is distributed across ERP, CRM, operational, cloud, analytics, and external systems.
Data Fabric
Create a Connected Data Fabric Across Your Enterprise
Concinnity helps organizations connect distributed enterprise data through a governed, reusable, and interoperable data fabric spanning SAP, Microsoft, cloud platforms, operational systems, analytics, planning, and AI.
SAP
Microsoft
Cloud
Operational
External
↓
Enterprise Data FabricIntegration • Semantics • Governance • Metadata • Data Products
↓
Analytics
Planning
AI
Applications
Executive Insight
A data fabric should make enterprise data easier to discover, trust, combine, govern, and reuse—without forcing every workload into one physical platform.
Why data fabric matters
Connect distributed data without creating another silo
Duplicated Pipelines
Teams recreate similar integrations, semantic logic, and extracts for each new use case.
Weak Semantics
Business terms, KPIs, and hierarchies differ across systems and reports.
Limited Discoverability
Users struggle to find trusted datasets, understand lineage, and know what is reusable.
Governance Gaps
Ownership, quality, metadata, access, and policies are inconsistently applied.
AI Readiness
AI initiatives stall because trusted, contextualized, governed data is not readily available.
Concinnity Data Fabric Framework
Build a logical enterprise fabric across distributed platforms
Business ConsumptionAnalytics • Planning • AI • Operational Apps • APIs
Semantic & Data Product LayerBusiness entities • KPIs • Reusable models • Contracts • Domains
Governance & MetadataCatalog • Lineage • Quality • Ownership • Access • Policies
Integration & FederationBatch • Streaming • APIs • Virtualization • Replication • Events
Distributed Data PlatformsSAP • Microsoft • Cloud • Data Lakehouse • Operational Systems
What we deliver
From architecture to reusable enterprise data products
Fabric Architecture
Define logical and physical architecture across data integration, federation, storage, semantics, metadata, security, and consumption.
Domain Data Products
Design governed, reusable business data products for analytics, planning, AI, and operational use.
Semantic Harmonization
Standardize KPIs, business entities, hierarchies, dimensions, and shared analytical logic.
Metadata & Catalog
Improve discoverability, lineage, ownership, glossary, and trust through metadata-driven practices.
Integration Strategy
Select the right balance of federation, replication, pipelines, APIs, streaming, and event-driven integration.
Governance by Design
Embed access, privacy, quality, stewardship, lifecycle, and policy controls into the fabric.
SAP & Microsoft Interoperability
Connect SAP Business Data Cloud, Datasphere, Fabric, Power BI, and broader enterprise platforms.
Fabric Roadmap
Sequence foundational capabilities and priority data products around business value.
Delivery journey
Design the fabric around high-value domains and use cases
01DiscoverLandscape, domains, systems, users, and pain points
→02DesignArchitecture, metadata, governance, and interoperability
→03ProductizeReusable data products, semantic models, and services
→04ConnectPlatforms, APIs, pipelines, federation, and streaming
→05ScaleDomains, standards, adoption, monitoring, and value
Related solutions
Build on a connected enterprise data foundation
Data Fabric
Ready to connect distributed enterprise data without creating another silo?
Concinnity can help define the architecture, governance, data products, and roadmap for a scalable data fabric.
Start a Data Fabric Conversation