Your best intention is, of course, that all your published aftermarket data should be Complete, Correct, Consistent and Clear. That maybe so when the platform was initially setup but over time a lot of data has been updated, deleted or moved around and some new data has been added to the database. That is the reason why you must constantly validate your data.
Data validation is a “never-ending-process” with the task to validate the published data to the quality that has been defined by your global product and services organization to ensure that the data provides correct information and the best value to its users.
The prime target for Data validation is to ensure that the published data is complete, accurate, secure and consistent. This can be done through data validation checks and rules that routinely validates the correctness and completeness of the data in the database. The rules are simple and easy to implement in the Signifikant Aftermarket Platform.
The validation engine in the Signifikant Platform is used for defining validation settings for different validation rules that may be applied on all presentations. The validation may be applied to the entire database, to a repository, to individual items in a repository and at the beginning of publish. Validation may result in warnings or errors, where warnings will provide information to the user and errors will be stopping.
The validation engine is based on the following concepts:
– Validation rule is the set of rules which are applied during validation, e.g. that parts must have a name.
– Validation settings are the settings that may be applied to a validation rule to make it behave in a specific way.
– Scope is a validation setting defining where the validation rule may be applied, e.g. at publish.
– Target is a validation setting defining on what information the validation rule may be applied, e.g. at parts.
Each validation rule can have the following validation settings:
– Sequence number which determines the order validation rules are executed.
– Enabled which allows to turn a validation rule on or off.
– Mandatory which tells if a validation rule must be executed successfully or not at publish. If mandatory the rule must validate ok before publish start.
– “WarningOnFailure” which tells if validation rule will be for information or stopping.
– Options which are the options available for the validation rule, key value pairs
– Scopes which define the scopes for the validation rule
– Targets which define the targets for the validation rule.
Validation of your Aftermarket Spare Parts data to be correct and complete is important for the service you provide to your Resellers / Service organizations and End user. Only correct and complete information will help them to get the best possible value from your product.