Data quality

DNA Cleanse

Reliable data starts with clear rules.

Review inconsistent item records, establish naming rules, and check exceptions before a migration or reporting change.

Discuss your data cleanup See the workflow

Current interface · Sample workspace

Read the film transcript

The same part can have three different names. DNA Cleanse brings project sources and open checks into view before records change. In the nomenclature studio, build a naming pattern from attributes your team uses. Then review export readiness to see what still needs attention. Clear rules make it easier to standardize item records. The film shows sample workspaces.

Workflow walkthrough

Three descriptions refer to the same part.

Open each step to see the decision and the product screen behind it.Each step opens as you reach it. You can also open or close any step.

01Review the source

Identify which files and fields are authoritative before you propose a change.

Project overview and export readiness · Sample workspace

02Define the naming rule

Use the nomenclature studio to build a naming pattern from attributes your team recognizes.

03Review before export

Check unresolved findings and agree which records need another look before handing off the data.

Export readiness checklist · Sample workspace

Additional interface walkthrough

This earlier recording provides more context. The screens above show the current interface.

Evaluate the fit

Start with one real example.

Start with a representative set of item records and the system or report they feed.

Discuss your data cleanup