Use the meaning of the field.
An email is more than a text string. Declaring its type and enabling default validation lets Golden flag values that do not meet that format.
EnlargeThe records your business shares
Many systems.
A shared definition.
A supplier, a product, a property or a destination is reused across the business. When each system maintains its own version, teams spend time reconciling codes, correcting fields and questioning which record to trust.
01 / Shared entities
One shared entity.
Across your systems.
A renamed destination splits a report. An outdated supplier address travels into the next order. A missing property reference breaks a relationship. Trazadera Golden gives each master domain a defined structure, explicit relationships and a place to maintain its records.
One master domainDefine it once. Maintain it together.
Identity & structureWhat identifies the entity and which fields describe it.
RelationshipsWhich other master records it references.
Rules & responsibilityWhat valid data means and who may change it.
See a reference catalogue in Golden
Enlarge02 / Entity quality
A good average can
hide work that matters.
Keeping a master table is not enough. Check the quality of its records, the coverage of the measurement and the fields that repeatedly fail. This customer entity illustrates the same quality controls available to other master domains.
90.53/ 100
Average quality in this demonstration.
17 records still have errors.
Among 376 measured records, an apparently strong average coexists with invalid email addresses.
EnlargeSee the findings behind the average
Enlarge03 / Record maintenance
Maintain the record.
Explain the correction.
Open a master record and see what needs attention. Golden identifies the field, explains what failed and separates errors from warnings. The responsible team can make a specific correction against the agreed rules.
EnlargeAn error needs a concrete correction.Verify the email against a reliable source before replacing it.
A warning needs a business decision.A missing optional field may be acceptable for one use and important for another.
See how this record’s score is calculated
Enlarge04 / The shared rules
Shared records need
shared rules.
The dataset defines the fields, types and relationships of the master record. Decide which information is required, use built-in validation for standard types and add the formats or custom checks the domain needs.
EnlargeMake your requirements explicit.
Specify an expected date format or a regular expression. For checks that need custom logic, a script can define the validation.
EnlargeDatasetThe rules you define
RecordThe fields that pass or fail
EntityThe quality of the population
05 / Keep it governed
Keep ownership clear.
Keep records current.
Keep the record useful as sources change and new systems start using it. Define the people who maintain it, preserve the history of their changes and agree where the governed data should be published.
Name the owner.
Agree who is responsible for each domain and configure who can read or change its records. Corrections need an accountable team.
Keep changes traceable.
Use record history and audit to understand what changed and why. Monitor recurring quality findings to catch problems that keep arriving from a source.
Define who receives it.
Configure the destinations and transformations that consuming systems need. Publication is part of the domain setup, with an explicit scope.
See how quality is followed over time
EnlargeWhen quality rules change, some records need remeasurement. Golden identifies pending scores and separates trends across changed definitions.
See measurement coverage and scoring criteria
EnlargeStart with one entity
Which entity does
everyone depend on?
Choose one master domain, its source systems and the teams that consume it. We can define its structure, ownership, quality rules and publication scope.
Discuss your master data