✅ 2. Data Accuracy & Completeness
Sub-topic 2 of 8
25% Complete
Prevention is better than cure. Siebel provides multiple mechanisms to enforce data quality at the point of entry.
Validation Mechanisms
1. Required Fields
Setting the "Required" property ensures users must provide a value before saving.
Configuration: In BC Field definition, set Required = TRUE
User Experience: Required fields show asterisk (*) and block save if empty
2. Validation Rules
Logical expressions that must evaluate to TRUE for the record to save.
Examples:
[Probability] >= 0 AND [Probability] <= 100[Close Date] > Today()[Email] LIKE '%@%.%'
3. Pick Lists (Bounded)
Restrict input to predefined values, eliminating free-text variations.
Example: Status → New | In Progress | Resolved | Closed
