Base Setup Recommendations

This is one of the data gathering methodologies and recommendations for functional performance improvement. The full list is defined in the Functional Performance Recommendations topic here.

The base setup of the contexts and dimensions, product and entity data model, assets and classifications are based on business requirements. Nevertheless, the base setup should also be designed based on performance since a complex base setup can have a negative impact on general performance.

An analysis of the base setup is worthwhile, as changes on the base setup for performance reasons usually have a great impact.

For example, changing the data model may impact attributes and references, but can also impact business rules, workflows, Web UI configurations, exports, and imports.

Important: Always weigh the pros and cons of changing the base setup prior to making the change, and test the effects on a lower system before making change on a production system.

• Asset Recommendations (here)
• Attribute and Attribute Group Recommendations (here)
• Calculated Attribute Recommendations (here)
• Classification Recommendations (here)
• Data Model Recommendations (here)
• Dimension and Context Recommendations (here)
• Global Count of Object and Attribute Recommendations (here)
• LOV Filtering Recommendations (here)
• Manually Sorted Recommendations (here)
• Reference Recommendations (here)