Data-flow diagram generator

What does the data-flow diagram generator produce?

Draw an actual directed data-flow diagram from confirmed source, process, store and recipient relationships.

Use the exact local files and task-specific inputs listed below. Preparation and review stay in this browser. Inspect all findings before preparing the finalized pack.

What do you need before you start?

• Define your exact task, source population and method.
• Keep the unchanged original files and the selected source versions.
• Review missing, invalid and unresolved facts before preparation.

What information do you enter?

Select the actual local sources and freeze the task-specific inputs below. Keep source files and complete findings private.

• Reference. Stable reference for this exact supplied population.
• Working pack version. Customer-controlled version.
• Organization. Actual organization owning this work.
• Approved jurisdiction scope. Select and support the actual jurisdiction and instrument for each system.
• Responsible reviewer. Accountable human reviewer.
• Review timestamp. Exact timestamp with seconds and confirmed offset.
• Approved task scope. Included and excluded systems, populations, assumptions and intended use.
• Scope approval reference. Actual accountable approval reference.
• Approved method version. Actual your method and calendar assumptions.
• Method source reference. Exact original file supporting the selected method.
• Approved method source locator. Exact JSON pointer or reviewed locator.
• Method approver. Responsible human approver.
• Method approval timestamp. Approved instant no later than review.
• System population. Selected or declared complete supplied population.
• Declared system count. Required for a declared complete population.
• Confirmed data-flow diagram scope inputs. Readable named rows, exact relationships, original sources and responsible decisions.
• Boundaries. Readable named rows, exact relationships, original sources and responsible decisions.
• Components. Readable named rows, exact relationships, original sources and responsible decisions.
• Flows. Readable named rows, exact relationships, original sources and responsible decisions.
• Evidence. Readable named rows, exact relationships, original sources and responsible decisions.
• Actions. Readable named rows, exact relationships, original sources and responsible decisions.

What you can download

Every result must identify its supplied facts, assumptions and unresolved items.

Fictional review report (PDF). Editable review (DOCX). Complete fictional pack (ZIP). Requires tailoring and responsible review. Samples use the finalized renderer.

How does the data-flow diagram generator work?

1. 1
   Define the approved scope

   Reference. Stable reference for this exact supplied population.

2. 2
   Enter task-specific evidence

   Validate exact component IDs, versions, declared trust boundaries and directed flows. Join actual data categories, purpose, owner, jurisdiction and confirmed source evidence. Draw confirmed relationships with labeled arrows, preserving unresolved links as separate findings. Identify disconnected components, boundary crossings and directed cycles. Export the complete standalone SVG and exact adjacency, node and flow data.

3. 3
   Inspect complete findings

   Review all named calculations, original source bindings and unresolved findings.

4. 4
   Keep recoverable work

   Exact strings and original bytes save in this browser. Strict restore validates exact tool, method revision, row shapes, source hashes and history. Previous work and purchases remain preserved.

5. 5
   Prepare the finalized pack

   Prepare 8 plus selected attachments complete files, then download them free. Review the fictional sample below.

Method and sources

Apply the steps above to the supported inputs. Use the listed source sections to review the rule basis, assumptions and limits.

• NIST Privacy FrameworkSupports the named task structure, with exact original evidence, selected rule versions and responsible interpretation. Data-processing ecosystem inventory, ownership, data actions, privacy risk profiles and accountable program monitoring.National Institute of Standards and Technology. Reviewed 2026-10-09.

Common questions

What still needs review?

This browser preparation uses original customer evidence and explicitly approved instruments, criteria, calendars and decisions. It does not make legal applicability decisions, authenticate delivery, perform an independent bias audit, scan a network or prove security effectiveness. No remote AI or provider is called. Exact originals remain in this browser. Original files are not saved to the cloud.

At most 500 rows and 200000 characters per table, 20 files, 10 MB each, 25 MB total, 900 KB input and 8 MB complete output metadata. Exact original JSON is bounded to 1 MB.

All operative applicability and current legal interpretation require your sources. Calendar assumptions, unknown demographics, dependent supplier support and reported effectiveness remain explicit.

Related working records

The related workspace contains working administrative records. Open it for the related administrative task.

Related tools

Browse all privacy and data rights tools.

• Personal-data inventoryCatalog datasets, purposes, locations, owners and access arrangements. Try a free example. Review your inputs and result.
• Processing activity registerCreate a structured US privacy operations record, with an optional GDPR Article 30 edition. Review the result. No account or payment required.
• System-to-dataset mapperLink applications, databases, files and organizational owners. Try a free example. Review your inputs and result. No account or payment required.
• Purpose compatibility workpaperOrganize proposed secondary uses and supporting reasoning. Try a free example. Review your inputs and result. No account or payment required.
• Inventory reconciliation toolCompare departmental submissions and identify missing or conflicting records. Try a free example. Review the result. No account or payment required.