Data maintenance

Data maintenance

Compare with other Characteristic

Characteristic Name: Data maintenance
Definition: Data should be accessible to perform necessary updates and maintenance operations in it’s entirely
Dimension: Availability and Accessability
Granularity: Record
Characteristic Type: Usage
Implementation Form: Process-based approach

Verification Metric:

The number of tasks failed or under performed due to lack of data maintenance
The number of complaints received due to lack of continuity in data access

Validation Metric:

To what extent required capabilities and skills have been implemented to improve the data usage of a task

BackgroundGuidelines

The original definitions given below formed the basis of the consolidated definition of the characteristic.

Definition: Source:
A measure of the degree to which data can be accessed and used and the degree to which data can be updated, maintained, and managed. D. McGilvray, “Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information”, Morgan Kaufmann Publishers, 2008. More from this source
Can all of the information be organized and updated on an on-going basis? EPPLER, M. J. 2006. Managing information quality: increasing the value of information in knowledge-intensive products and processes, Springer. More from this source

The implementation guidelines are guidelines to follow in regard to the characteristic. The scenarios are examples of the implementation

Guidelines: Scenario:
Technological changes in the infrastructure/system should be handled in such a way that they should not make data inaccessible (1) Sales order is created once a customer signs a contract. Then it is updated in three instances 1)Delivery date and shipment date is updated once the production plan is created. 2) Actual quantity is updated once the manufacturing is complete 3) Total cost is updated once the freight changes are incurred. A sales order is achieved after one years from delivery.
A maintenance policy for mission critical data should be developed and implemented to handle on going systematic updates (Create, read, update, delete, archive and cleanse) (1) Customer data : Created when a customer enters into a contract, updated once the customer details change or contact change, archived once the contact end
When multiple versions of the same data is available through different datasets\databases create a master record and make it available across the systems (1) Master data management
Leverage application and storage technology in such a way that the maintenance policies can be applied on data (1)Addresses which were not updated during the last 24 months are prompted for validations
Create a responsibility structure/Authorisation structure and a communication structure to manage the process of information generation maintenance and utilisation (1) It is the responsibility of the work study team to provide SMV (standard minute values) for a garment.
(2) Approved SMVs should be sent to the planning department for planning purposes.

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