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ERP Data Standardization

Standardize inconsistent ERP values to the ones you approve.

Over years, ERP product data collects many ways of saying the same thing. Autonera finds inconsistent values, normalizes attributes, standardizes units and formats, flags likely duplicates, and validates the results against approved business rules before exporting standardized information.

All solutions

  1. 1 Connect
  2. 2 Profile
  3. 3 Rules
  4. 4 Normalize
  5. 5 Review
  6. 6 Export

Business outcome

Consistent, standardized ERP product data based on target values your organization defines.

When this is useful

  • Reports, search, and filtering break because the same value is written several ways.
  • Units and formats differ between plants, regions, or legacy systems.
  • Duplicate items exist under slightly different descriptions.
  • A migration, integration, or channel project needs clean data first.

Typical inputs

  • ERP item master extracts or a connection to the ERP
  • Your approved value lists, unit standards, and formats
  • Business rules for attributes and duplicates
  • Known exceptions that should not be changed

What Autonera does

  • Identifies inconsistent values across attributes
  • Normalizes attributes to approved target values
  • Standardizes units of measure and formats
  • Detects likely duplicate records for review
  • Validates results and prepares standardized information for export

Your rules and approvals

  • Approved target values are customer-defined. Autonera applies your standards, not its own.
  • Mappings that are uncertain are proposed for review, not applied.
  • Duplicate merges always require a human decision.
  • Validation runs before standardized data is exported.

Outputs and destinations

  • Standardized records with before-and-after values
  • A duplicate and exception list for review
  • Standardized information exported back to the ERP or another destination, depending on the integration

What we would confirm together

  • Which attributes and item populations to standardize first
  • Your approved target values and who owns them
  • How data is extracted and written back
  • Rules for duplicates and protected values
  • Downstream systems affected by the changes

Example standardization

Unit of measure

EAEACHEachEach

Color

BLKBlackBKBlack

Length

12 inches12 in12IN12 in

Examples only. The approved target values are defined by your organization.

How to get started

Start with one outcome. Work with your existing systems. Expand when you’re ready.

Autonera can support a focused business outcome, an ongoing autonomous operation, or a broader enterprise data management deployment. The right starting point depends on your goals and environment, and we agree it with you.

  1. 1

    Define the outcome

    Agree on the specific result you need, the records in scope, and what “done” looks like for your team.

  2. 2

    Evaluate your environment

    Review the systems, files, data condition, and integration options involved, so expectations match reality.

  3. 3

    Agree on the right scope

    Choose a focused outcome, an ongoing operation, or a broader deployment, and confirm rules and approvers before work starts.

Discuss ERP Data Standardization for your business.

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