Industry packs
Synthetic plant-floor, supply-chain, quality and shipping test data with linked masking
Preview only · not activatable yet Version 2.1.0 · Complete
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This pack is installed and passes DataNivra’s pack conformance kit through the real engine, but it cannot be activated yet: no plan includes it yet, the standard agent image does not ship it, the control-plane catalogue does not list it and the hosted sandbox has no synthetic estate for it. You can explore its synthetic records, masking and scenarios on this page and in the browser demo. Tell us if you need it: demand decides which packs become activatable next.
8 cross-system relationships link logistics, plant, quality and supply; the pack's masking keeps one pseudonym per identity on every side. For example, plant.operators.operator_id and quality.inspections.inspector_ref get the same pseudonym.
9 ready-made scenarios generate them on demand, for example: breakdowns clustered within four days, most of them long stops; failed inspections sending work orders to rework; recalled lots and the shipments that carried them to customers.
24 columns across 14 entities are classified (direct identifier, financial, PII, quasi identifier and sensitive) and covered by 3 masking templates you review and approve.
2 certification presets check masking coverage, referential integrity, orphans and row counts before a dataset can be provisioned; a failed dataset is never provisioned.
14 entities across 4 source systems, generated from the pack’s own entity model.
| Entity | References | Columns | Kind |
|---|---|---|---|
| Operator | Plant | plant_id → plant_id | Within a system |
| Machine | Plant | plant_id → plant_id | Within a system |
| WorkOrder | Plant | plant_id → plant_id | Within a system |
| WorkOrder | Machine | machine_id → machine_id | Within a system |
| ProductionRun | WorkOrder | work_order_id → work_order_id | Within a system |
| MaintenanceEvent | Machine | machine_id → machine_id | Within a system |
| Part | Supplier | supplier_id → supplier_id | Within a system |
| Lot | Part | part_number → part_number | Within a system |
| LotLink | Lot | parent_lot_id → lot_id | Within a system |
| LotLink | Lot | child_lot_id → lot_id | Within a system |
| LotLink | BomLine | bom_line_id → bom_line_id | Within a system |
| BomLine | Part | parent_part_number → part_number | Within a system |
| BomLine | Part | component_part_number → part_number | Within a system |
| InventoryBalance | Plant | plant_id → plant_id | Within a system |
| WorkOrder | Part | part_number → part_number | Across systems (pack relationship template) |
| WorkOrder | Lot | output_lot_ref → lot_id | Across systems (pack relationship template) |
| ProductionRun | Operator | operator_id → operator_id | Within a system (pack relationship template) |
| MaintenanceEvent | Operator | technician_id → operator_id | Within a system (pack relationship template) |
| Inspection | WorkOrder | work_order_ref → work_order_id | Across systems (pack relationship template) |
| Inspection | Lot | lot_ref → lot_id | Across systems (pack relationship template) |
| Inspection | Operator | inspector_ref → operator_id | Across systems (pack relationship template) |
| Shipment | Lot | lot_ref → lot_id | Across systems (pack relationship template) |
| InventoryBalance | Part | part_number → part_number | Across systems (pack relationship template) |
| InventoryBalance | Lot | lot_ref → lot_id | Across systems (pack relationship template) |
Synthetic data. Every record on this page is synthetic, generated from a fixed seed by the pack's own generator; masked values come from the real masking engine.
operator_id sensitive | plant_id | badge_number sensitive | given_name sensitive | family_name sensitive | email sensitive | phone sensitive | role | shift | hired_on |
|---|---|---|---|---|---|---|---|---|---|
| OPR000000001 | PLT00001 | BDG-ZZ-983463 | Joette | Umberworth | joette.yarrridge3846@example.org | — | MACHINIST | A | 2006-11-03 |
| OPR000000002 | PLT00001 | BDG-ZZ-953927 | Alyn | Dunton | — | — | INSPECTOR | B | 2020-09-06 |
Template Linked manufacturing test data (MFG_LINKED_TEST_DATA) applied to a synthetic Operator record from plant.operators.
| Column | Classified as | Before (synthetic) | After masking |
|---|---|---|---|
operator_id | Direct identifier | OPR000000001 | OPR098977906 |
badge_number | PII, Direct identifier | BDG-ZZ-983463 | YSO-BN-900882 |
given_name | PII, Direct identifier | Joette | Fenette |
family_name | PII, Direct identifier | Umberworth | Yarrholt |
email | PII, Direct identifier | joette.yarrridge3846@example.org | yoren.zephby61@example.net |
phone | PII, Direct identifier | — | — (same value after masking) |
Same pseudonym in two systems. The identifier OPR000000005 appears in plant.operators.operator_id and in quality.inspections.inspector_ref. Both become OPR344118740, so the masked systems still join (relationship MFG_INSPECTION_INSPECTOR).
Masked with a fixed public sample key so this example is reproducible; your data is masked with your own key, referenced from your secret store.
11 runnable scenarios. Preview them in your browser without an account; the hosted sandbox opens when the pack becomes activatable.
Normal MFG_EVERYDAY_PRODUCTION
Ordinary work orders with production runs, inspections, maintenance and shipments
Everyday, valid records: the baseline most tests expect. Children per parent record: 1–3.
Rare MFG_DOWNTIME_CLUSTERS
Breakdowns clustered within four days, most of them long stops
Valid but uncommon business situations that production samples often miss. Children per parent record: 2–5.
Rare MFG_REWORK_LOOPS
Failed inspections sending work orders to rework
Valid but uncommon business situations that production samples often miss. Children per parent record: 2–4.
Rare MFG_LOT_RECALL
Recalled lots and the shipments that carried them to customers
Valid but uncommon business situations that production samples often miss. Children per parent record: 1–3.
Rare MFG_SHIFT_HANDOVERS
Production runs starting exactly at shift changes, each with a handover note
Valid but uncommon business situations that production samples often miss. Children per parent record: 2–4.
Boundary MFG_TOLERANCE_LIMITS
Measurements exactly on the tolerance limits (every other row) or just inside them
Values at the edges of valid ranges (limits, thresholds, extremes). Children per parent record: 1–3.
Rare MFG_SUPPLIER_QUALITY_ESCAPE
Suppliers downgraded after quality escapes, with their lots quarantined
Valid but uncommon business situations that production samples often miss. Children per parent record: 1–3.
Rare MFG_ENGINEERING_CHANGES
Engineering changes: revision-A BOM lines closed the day before the change and revision-B lines effective from it, each under a change notice
Valid but uncommon business situations that production samples often miss. Children per parent record: 2–4.
Boundary MFG_INVENTORY_SHORTAGES
Stock-outs holding work orders: more allocated than on hand (exactly one unit short on every fourth row) and negative on-hand booking errors
Values at the edges of valid ranges (limits, thresholds, extremes). Children per parent record: 1–3.
Duplicate MFG_DUPLICATE_MEASUREMENTS
Inspection results recorded twice with identical content under new ids
Records that repeat others under new keys (clean-up and matching tests). Children per parent record: 2–4.
Historical MFG_PRODUCTION_HISTORIES
Multi-year, referentially intact production, quality and shipping histories without gaps
Old records for archive, migration and retention tests. Children per parent record: 2–4.
Negative tests, kept apart. This scenario produces deliberately broken data for error handling and never passes certification as valid data:
MFG_BROKEN_REFERENCES — Dangling cross-system references and invalid values for error-handling testsThe schema the pack expects in each system (also as CREATE TABLE DDL in the downloads). A run produces a masked or synthetic dataset with the same tables, a certification report with the gates of the chosen preset, and an evidence manifest with checksums — the rows stay in your environment.
plant.plants · 4 columnsA manufacturing site.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
plant_id (key) | VARCHAR(8) | Yes | — |
plant_name | VARCHAR(64) | Yes | — |
country_code | VARCHAR(2) | Yes | — |
opened_on | DATE | Yes | — |
plant.operators · 10 columnsA shop-floor employee: machinist, inspector, technician or supervisor.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
operator_id (key) | VARCHAR(12) | Yes | Direct identifier |
plant_id | VARCHAR(8) | Yes | — |
badge_number | VARCHAR(16) | Yes | PII, Direct identifier |
given_name | VARCHAR(64) | Yes | PII, Direct identifier |
family_name | VARCHAR(64) | Yes | PII, Direct identifier |
email | VARCHAR(128) | No | PII, Direct identifier |
phone | VARCHAR(32) | No | PII, Direct identifier |
role | VARCHAR(12) | Yes | — |
shift | VARCHAR(1) | Yes | — |
hired_on | DATE | Yes | — |
plant.machines · 6 columnsA machine or piece of production equipment.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
machine_id (key) | VARCHAR(10) | Yes | — |
plant_id | VARCHAR(8) | Yes | — |
machine_type | VARCHAR(16) | Yes | — |
serial_number | VARCHAR(20) | Yes | Quasi identifier |
status | VARCHAR(8) | Yes | — |
commissioned_on | DATE | Yes | — |
plant.work_orders · 10 columnsAn order to produce a quantity of a part on a machine.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
work_order_id (key) | VARCHAR(12) | Yes | — |
plant_id | VARCHAR(8) | Yes | — |
machine_id | VARCHAR(10) | Yes | — |
part_number | VARCHAR(12) | Yes | — |
output_lot_ref | VARCHAR(12) | Yes | — |
planned_qty | INT | Yes | — |
status | VARCHAR(12) | Yes | — |
priority | VARCHAR(8) | Yes | — |
created_at | TIMESTAMP | Yes | — |
due_date | DATE | Yes | — |
plant.production_runs · 9 columnsOne shift's run on a work order by an operator.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
run_id (key) | BIGINT | Yes | — |
work_order_id | VARCHAR(12) | Yes | — |
operator_id | VARCHAR(12) | Yes | Direct identifier |
shift | VARCHAR(1) | Yes | — |
started_at | TIMESTAMP | Yes | — |
ended_at | TIMESTAMP | Yes | — |
good_qty | INT | Yes | — |
scrap_qty | INT | Yes | — |
handover_note | VARCHAR(400) | No | Sensitive |
plant.maintenance_events · 7 columnsPreventive maintenance, a breakdown or a calibration of a machine.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
event_id (key) | BIGINT | Yes | — |
machine_id | VARCHAR(10) | Yes | — |
technician_id | VARCHAR(12) | Yes | Direct identifier |
event_type | VARCHAR(12) | Yes | — |
started_at | TIMESTAMP | Yes | — |
downtime_minutes | INT | Yes | — |
technician_notes | VARCHAR(400) | No | Sensitive |
supply.suppliers · 9 columnsA supplier of raw materials and bought-in parts.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
supplier_id (key) | VARCHAR(10) | Yes | — |
supplier_name | VARCHAR(64) | Yes | — |
contact_name | VARCHAR(96) | No | PII, Direct identifier |
contact_email | VARCHAR(128) | No | PII, Direct identifier |
contact_phone | VARCHAR(32) | No | PII, Direct identifier |
supplier_iban | VARCHAR(34) | Yes | Financial, Direct identifier |
country_code | VARCHAR(2) | Yes | — |
quality_rating | VARCHAR(1) | Yes | — |
approved | BOOLEAN | Yes | — |
supply.parts · 6 columnsA raw material or bought-in part (with a supplier) or a finished part made in-house.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
part_number (key) | VARCHAR(12) | Yes | — |
supplier_id | VARCHAR(10) | No | — |
description | VARCHAR(96) | Yes | — |
unit_cost | DECIMAL(12,2) | Yes | Financial |
nominal_mm | DOUBLE | Yes | — |
tolerance_mm | DOUBLE | Yes | — |
supply.lots · 6 columnsA traceable quantity of one part: received from a supplier or produced by a work order (the demo subset root: its genealogy, work orders, inspections and shipments travel with it).
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
lot_id (key) | VARCHAR(12) | Yes | — |
part_number | VARCHAR(12) | Yes | — |
origin | VARCHAR(8) | Yes | — |
quantity | INT | Yes | — |
status | VARCHAR(12) | Yes | — |
created_on | DATE | Yes | — |
supply.lot_genealogy · 5 columnsGenealogy: a parent (input) lot consumed into a child (produced) lot.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
link_id (key) | BIGINT | Yes | — |
parent_lot_id | VARCHAR(12) | Yes | — |
child_lot_id | VARCHAR(12) | Yes | — |
quantity_used | INT | Yes | — |
bom_line_id | BIGINT | No | — |
quality.inspections · 11 columnsA measurement of a work order's output lot against the part's tolerance.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
inspection_id (key) | BIGINT | Yes | — |
work_order_ref | VARCHAR(12) | Yes | — |
lot_ref | VARCHAR(12) | Yes | — |
inspector_ref | VARCHAR(12) | Yes | Direct identifier |
characteristic | VARCHAR(12) | Yes | — |
nominal_mm | DOUBLE | Yes | — |
tolerance_mm | DOUBLE | Yes | — |
measured_mm | DOUBLE | Yes | — |
result | VARCHAR(8) | Yes | — |
inspected_at | TIMESTAMP | Yes | — |
inspector_notes | VARCHAR(400) | No | Sensitive |
logistics.shipments · 12 columnsA delivery of (part of) a produced lot to a customer site.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
shipment_id (key) | VARCHAR(12) | Yes | — |
lot_ref | VARCHAR(12) | Yes | — |
customer_account | VARCHAR(16) | Yes | Quasi identifier |
consignee_name | VARCHAR(96) | No | PII, Direct identifier |
consignee_phone | VARCHAR(32) | No | PII, Direct identifier |
delivery_street | VARCHAR(128) | Yes | PII, Quasi identifier |
delivery_city | VARCHAR(64) | Yes | Quasi identifier |
delivery_postal_code | VARCHAR(10) | No | PII, Quasi identifier |
quantity | INT | Yes | — |
carrier | VARCHAR(24) | Yes | — |
status | VARCHAR(10) | Yes | — |
shipped_on | DATE | Yes | — |
supply.bom_lines · 9 columnsOne component line of a product's bill of materials: quantity per unit, by revision and effectivity (engineering changes close old lines and open new ones under a change notice).
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
bom_line_id (key) | BIGINT | Yes | — |
parent_part_number | VARCHAR(12) | Yes | — |
component_part_number | VARCHAR(12) | Yes | — |
quantity_per | DECIMAL(10,3) | Yes | — |
unit_of_measure | VARCHAR(4) | Yes | — |
bom_revision | VARCHAR(2) | Yes | — |
effective_from | DATE | Yes | — |
effective_to | DATE | No | — |
change_notice | VARCHAR(12) | No | — |
plant.inventory_balances · 10 columnsStock of one lot in a plant's storage bin: on hand, allocated to work orders, reorder point.
| Column | Type | Required | Sensitive classes |
|---|---|---|---|
balance_id (key) | BIGINT | Yes | — |
plant_id | VARCHAR(8) | Yes | — |
part_number | VARCHAR(12) | Yes | — |
lot_ref | VARCHAR(12) | Yes | — |
storage_bin | VARCHAR(12) | Yes | — |
on_hand_qty | INT | Yes | — |
allocated_qty | INT | Yes | — |
reorder_point | INT | Yes | — |
stock_status | VARCHAR(10) | Yes | — |
counted_at | TIMESTAMP | Yes | — |
Verified with this pack version: PostgreSQL and Local files (Parquet / CSV). 17 more connectors are compatible by capability: they support what the pack needs, but have not been verified with this pack yet.
| Connector | Status with Manufacturing |
|---|---|
| Local files (Parquet / CSV) | Verified with this pack |
| PostgreSQL | Verified with this pack |
| Amazon S3 / S3-compatible storage | Compatible by capability (not yet verified with this pack) |
| Apache Kafka (connector in preview) | Compatible by capability (not yet verified with this pack) |
| Azure Blob Storage / Data Lake Storage | Compatible by capability (not yet verified with this pack) |
| Databricks | Compatible by capability (not yet verified with this pack) |
| Generic SQL (SQLAlchemy) | Compatible by capability (not yet verified with this pack) |
| Google BigQuery | Compatible by capability (not yet verified with this pack) |
| HTTP APIs (connector in preview) | Compatible by capability (not yet verified with this pack) |
| IBM Db2 (connector in preview) | Compatible by capability (not yet verified with this pack) |
| Mainframe files (EBCDIC / copybook) (connector in preview) | Compatible by capability (not yet verified with this pack) |
| MariaDB | Compatible by capability (not yet verified with this pack) |
| Microsoft SQL Server | Compatible by capability (not yet verified with this pack) |
| MongoDB (connector in preview) | Compatible by capability (not yet verified with this pack) |
| MySQL | Compatible by capability (not yet verified with this pack) |
| Oracle Database | Compatible by capability (not yet verified with this pack) |
| Parquet files | Compatible by capability (not yet verified with this pack) |
| Snowflake | Compatible by capability (not yet verified with this pack) |
| SQLite (developer evaluation) (connector in preview) | Compatible by capability (not yet verified with this pack) |
A DataNivra agent that reports its installed industry packs (releases after agent 0.3.0); the control plane runs a pack job only on an agent holding the exact active pack version with the catalogued integrity digest.
| Step | Estimate |
|---|---|
| Try the synthetic sandbox No install: sign up and open the sandbox. | Minutes (estimate) |
| Install (or reuse) the agent One Docker command or a Helm chart; outbound HTTPS only. | Under an hour (estimate) |
| Connect a source Register a read-only source through the existing connector workflow. | Under an hour (estimate) |
| Review and approve policies Create drafts from the Manufacturing templates, review and approve them. | Under an hour (estimate) |
| First certified dataset Run the first job; certification and evidence are produced automatically. | Minutes (estimate) |
MFG_STRICTEvery gate; full masking coverage; zero orphaned runs, inspections, lots, genealogy links or shipments; exact row counts. Default for masked manufacturing test data.
POLICY_COVERAGE: every sensitive column is covered by an approved policyMASKING_COMPLETION: masking finished on every covered columnREFERENTIAL_INTEGRITY: every reference still points at an existing recordSCHEMA_VALIDATION: the output schema matches the source schemaDATA_QUALITY: empty-value ratios stay within the preset’s drift limitROW_COUNT_RECONCILIATION: row counts match the plan within the toleranceORPHAN_DETECTION: no child record lost its parentPROVENANCE: every row is tagged masked or syntheticMANIFEST: a manifest lists every output table with checksumsPOLICY_VERSION: the exact approved policy versions are recordedENGINE_VERSION: the engine version is recordedCHECKSUMS: output checksums are recorded for later verificationIDENTITY_CONSISTENCY: linked identifiers got the same pseudonym in every systemSOURCE_READ_ONLY: the source was only read, never writtenEGRESS_GUARD: no row-level data left the agentCONNECTOR_HEALTH: the connectors stayed healthy during the runMFG_SCENARIO_TESTINGEvery gate, with slightly relaxed NULL-ratio drift for scenario datasets whose states (cancelled orders, quarantined lots, runs without notes) leave optional fields empty.
POLICY_COVERAGE: every sensitive column is covered by an approved policyMASKING_COMPLETION: masking finished on every covered columnREFERENTIAL_INTEGRITY: every reference still points at an existing recordSCHEMA_VALIDATION: the output schema matches the source schemaDATA_QUALITY: empty-value ratios stay within the preset’s drift limitROW_COUNT_RECONCILIATION: row counts match the plan within the toleranceORPHAN_DETECTION: no child record lost its parentPROVENANCE: every row is tagged masked or syntheticMANIFEST: a manifest lists every output table with checksumsPOLICY_VERSION: the exact approved policy versions are recordedENGINE_VERSION: the engine version is recordedCHECKSUMS: output checksums are recorded for later verificationIDENTITY_CONSISTENCY: linked identifiers got the same pseudonym in every systemSOURCE_READ_ONLY: the source was only read, never writtenEGRESS_GUARD: no row-level data left the agentCONNECTOR_HEALTH: the connectors stayed healthy during the runWhat is missing before you can activate the Manufacturing pack yourself:
Until then, preview it in the browser demo and download its synthetic asset bundle below.
Tell us you need the Manufacturing pack or request a feature for it.
Version 2.1.0, 73 files (212.6 KB), all synthetic and generated from the pack itself. Every file’s SHA-256 is listed in MANIFEST.json.
573fc3aba8d6…0fd020d363c5…ee41dfb730ba…
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SANDBOX_PACK_NOT_OFFERED — Synthetic estate not offeredENTITLEMENT_REQUIRED — Plan does not include thisPACK_INTEGRITY_UNVERIFIED — Pack integrity not verifiedPACK_DEPENDENCY_INACTIVE — Required pack not activeAGENT_PACK_MISSING — No agent can run this industry packAGENT_PACK_VERSION_INCOMPATIBLE — Industry pack version differs on the agentAGENT_PACK_INTEGRITY_MISMATCH — Agent pack differs from the cataloguePACK_TEMPLATES_UNAVAILABLE — Pack templates not registeredPACK_TEMPLATE_KEY_REF_REQUIRED — Masking key reference requiredPACK_NOT_ENABLED — Industry pack not enabledThe Manufacturing pack supports privacy and data-minimisation practices by keeping personal data inside your environment; it does not, by itself, establish compliance with any law or regulation.
Everything on this page works without an account. Prefer a conversation? Request a demo (optional). Missing something? Request a feature.