Workshop: Simplify processes and improve data quality
The workshop will show how individual process steps in Teamcenter can be simplified by using the results of a data validation at an early stage.
In this way, erroneous entries can be avoided quite early in the process of data creation and monotonous steps are completely eliminated by means of automatic data filling. The big added value here is the higher data quality in the PLM, which is ensured by the technical support.
The aim of the workshop is to give a small insight into the possibilities to improve individual processes by means of small optimizations and to additionally simplify the use of Teamcenter for the user.
Presentation: Simplify Teamcenter usage and improve usability
Customer examples show how users can easily increase the acceptance of PLM solutions. We also show how easy it is to ensure, with the right technical support, that the underlying data in your system is accurate and complete.
For example, the part creation can be simplified and accelerated by automatically filling out forms, as well as optimizing approval processes by checking all release-relevant information. Context-specific corrections when working with Teamcenter help the user to create parts and documents in the required quality. In addition, these notes make it easier for the user to work with Teamcenter.
Topic: Simplify approval processes by leveraging results from validation at an early stage
In Teamcenter environments, especially when they have a large heterogeneity of data, it often happens that parts, documents, etc. do not meet the required quality or necessary quality.
For example, relevant attributes or status values are missing for the next step in the process. If complex queries are required to start a release workflow, these workflows quickly become confusing.
The presentation will show how easy it is to accelerate the release of complex structures with appropriate technical support.
Multiple customer example are demonstrating how a standardized framework helps speed up processes and improve data quality.
