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NeoArc Studio

Data Flow Architecture Template

Documenting how data moves across systems, platforms, and domains including transformation points and governance controls

The Data Flow Architecture template provides a structured approach to documenting how data moves across systems, platforms, and domains including transformation points and governance controls.

Template Sections

This template includes 7 sections.

Data Flow Overview
Describe the key data flows, their business purpose, and the governance requirements that apply to data in motion
Data Flow Architecture Diagram
Diagram section
Primary Data Flow
Document the most important data flow: source, transformations, destination, frequency, volume, latency requirements,...
Secondary Data Flow
Document the second most important data flow
Data Flow Governance
Document governance requirements for data flows: encryption in transit, data masking rules, cross-border transfer...
Data Flow Operations
Document operational considerations: monitoring data flow health, alerting on failures or delays, retry mechanisms, and...
Data Flow Risks
Document risks: data loss in transit, transformation errors, compliance violations, flow bottlenecks, and unmonitored...

Section Details

Block Types Used

Content blocks used in this template
SectionBlock TypePurpose
Data Flow OverviewRich TextDescribe the key data flows, their business purpose, and the governance...
Data Flow Architecture DiagramDiagramDiagram section
Primary Data FlowData Flow SpecificationDocument the most important data flow: source, transformations, destination,...
Secondary Data FlowData Flow SpecificationDocument the second most important data flow
Data Flow GovernanceCompliance RequirementDocument governance requirements for data flows: encryption in transit, data...
Data Flow OperationsOperational NoteDocument operational considerations: monitoring data flow health, alerting on...
Data Flow RisksRiskDocument risks: data loss in transit, transformation errors, compliance...

Getting Started