Bookshelf Home | Contents | Index | PDF | ![]() ![]() |
Siebel Pricing Administration Guide > Creating Attribute Adjustments > Single and Multiple Type Attribute Adjustments > About Wildcards in Attribute AdjustmentsSelecting the Allow Any check box in a Dimension record lets you enter a blank instead of entering every different domain value for that dimension. This blank is called a null value wildcard. It represents all possible values in the given attribute's domain. For example, you sell T-shirts that come in the colors white, gray, and red, and also come in the sizes small, medium, large, and extra-large, with the pricing shown in Table 8. There is no markup for any color except red. The red T-shirts are marked up $2, except for the extra-large size, which is marked up $5. Instead of the long list shown in Table 8, you can represent this with the short list shown in Table 9. In Table 9, the first row represents all the colors except red, and the second row represents all the sizes of red except extra-large. The null value wildcard can reduce the work of creating a large attribute pricing table, but be careful to avoid the problems that it can create:
If you do create several rules that represent the same combination of condition dimensions, then the application uses the rule with the most exact matches (not blanks) in the condition dimensions as the highest priority for processing. Priority is specified using the Sort Order field of the dimension. Avoid using null value wildcards in the columns with the highest priority for processing. This increases the processing task for Siebel Pricer and causes the processing to take longer. NOTE: If you use wildcards, then it is especially important to test your results after creating the attribute pricing table. |
![]() ![]() |
Siebel Pricing Administration Guide | Copyright © 2014, Oracle and/or its affiliates. All rights reserved. Legal Notices. | |