Product lifecycle management (PLM) data management is the systemized input and output of product data throughout the product lifecycle. This data is managed in a PLM system in order to provide a single source of product truth that can be accessed and used by all stakeholders.
Data management in a PLM system is essential in order to maintain accurate and up-to-date product data. This data can include everything from product specifications and design files to manufacturing and quality data. A PLM system enables all of this data to be managed in a central repository, making it easy for stakeholders to access and use the latest product information.
Data management in a PLM system is a continuous process that begins at the product concept stage and continues throughout the product lifecycle. At each stage of the product lifecycle, new data is generated and existing data is updated. This data must be managed in a way that ensures accuracy and completeness.
An effective PLM data management strategy should consider the following:
-Data organization: How will the data be organized within the PLM system?
-Data capture: How will new data be captured and entered into the PLM system?
-Data ownership: Who will be responsible for maintaining the accuracy of the data?
-Data access: Who will have access to the data and how will they be able to use it?
-Data security: How will the data be protected from unauthorized access and modification?
Implementing an effective PLM data management strategy can be a challenge, but it is essential in order to ensure that all stakeholders have access to the latest and most accurate product data.
