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Data Governance

Acceptance rules that know a motor is not a cable.

Requirements differ by category. Autonera applies category-specific rules for presence, ranges, formats and dependencies, scores completeness in context and explains every failure in plain terms.

Walk through it All capabilities

How it works

Validate a record against its category's rules

Switch between a motor and a cable to see different requirements. Edit values to clear errors; completeness and exceptions update immediately.

80% complete1 error

RECORD

ELECTRIC MOTORS RULES

  • required Power kW (error)
  • range Power kW 0.09–1000 (error)
  • required Voltage (error)
  • pattern IE class ~ ^IE[1-5]$ (error)
  • required Frame size (warning)

EXCEPTIONS

  • IE class has an invalid format
  • Frame size is required

The capability

Measurable acceptance, defined where the knowledge lives

Generic validation catches empty fields. Industrial data needs more: a motor's power must fall within a sensible range, efficiency class must follow the IE notation, and a cable with a hazardous-location rating must declare its jacket material. These rules belong to categories, and they change as categories evolve.

Validation & Completeness lets data owners define rules by category and inherit them through the hierarchy. Rule types include required attributes, numeric ranges, patterns, controlled values, cross-field dependencies and relationship checks. Each rule has a severity: errors prevent release, warnings inform without blocking.

Completeness is calculated against the attributes that matter in context, by category, channel or locale, rather than every field in the model. Every exception states which rule failed and why, so the person correcting it does not need to interpret a rule expression.

Problems it solves

Where this work usually breaks down

  1. 01

    One rule set for every category

    Required fields that suit one category produce noise or gaps in others.

  2. 02

    Completeness that counts irrelevant fields

    Scores are diluted by attributes that do not apply to the product.

  3. 03

    Errors without explanation

    Users see a record is invalid but not which value or rule caused it.

  4. 04

    Everything treated as blocking

    Minor issues hold releases because there is no warning severity.

Functional capabilities

What Validation & Completeness includes

Category-specific rules
Define rules per category and inherit them down the hierarchy.
Rule types
Required, range, pattern, controlled value, cross-field and relationship rules.
Severities
Distinguish blocking errors from advisory warnings.
Contextual completeness
Score completeness by category, channel and locale.
Explained exceptions
Plain-language messages identifying the attribute and rule.
Rule testing
Preview the effect of a new or changed rule before activation.

In industrial operations

An electrical distributor tightens motor and cable data

Motor and cable records share one generic rule set, and invalid efficiency classes reach the website.

  1. Category managers define motor and cable rules, including IE class format and hazardous-rating dependencies.
  2. Rules are tested against existing records to preview how many would fail.
  3. Blocking rules are activated; formatting issues start as warnings.
  4. Exceptions are routed to category owners with explanations.

Result: Each category is validated against its own requirements, and owners know exactly what to correct.

Autonomous operations

How autonomous execution changes validation & completeness

Agents evaluate rules on every change and correct values where the fix is unambiguous; category owners define the rules.

Agents carry out

  • Validate on create, import and update
  • Normalize formats such as IE 3 to IE3
  • Re-check records after rule changes
  • Route remaining exceptions

People decide

  • Define category rules and severities
  • Approve rule activation
  • Decide ambiguous corrections

Evidence recorded

  • Rule versions and activation dates
  • Validation results per record
  • Corrections with before and after values

Related capabilities

Works alongside

Feature guide

Data Quality Management

Quality dimensions, rules, trends and owned remediation across domains.

Feature guide

Channel Readiness

Readiness scores, blocking attributes and publication eligibility per destination.

Feature guide

Product Hierarchies & Taxonomy

Classification trees with inherited category requirements and controlled reassignment.

Feature guide

Data Stewardship

Owned work queues, service levels and evidence-backed exception resolution.

Capability area

Data Governance

See where Validation & Completeness fits in the wider Data Governance capability.

Buyer FAQs

Questions evaluators ask

Can rules be inherited through the category tree?

Yes. Rules defined on a parent category apply to its children, which can add their own.

What is the difference between an error and a warning?

Errors prevent release or publication. Warnings are reported but do not block.

Can we test a rule before turning it on?

Yes. A rule can be evaluated against existing records to see how many would fail.

Is completeness the same for every channel?

No. Completeness can be measured against category, channel or locale requirements.

Can business users write rules?

Common rule types are configured without code. Complex expressions can be added by administrators.

Your next step

See Validation & Completeness on data like yours.

Bring a real file, catalog or record set. We will walk through how Autonera would handle it and where your team keeps the final say.

Book a Demo