As time progresses, data about specific vendors may be removed from your ERP system because it is no longer relevant. A
company may go out of business or a vendor may stop selling an item that you ordered regularly. When this happens, this vendor is
removed from the ERP system but that same data remains in the
AP Agility
database. This is because the ERP import job schedule is configured this way by default.
There are two ways that you can ensure that the
AP Agility
database does not contain irrelevant information.
Configure the ERP import job schedule to regularly clean up irrelevant master data (Recommended when using an ERP
system.)
Manually run a job to clean up irrelevant master data
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The search returns topics that contain terms you enter. If you type more than one term, an OR is assumed, which returns topics where any of the terms are found. Enclose your search terms in quotes for exact-phrase matching.
The search also uses fuzzy matching to account for partial words (such as install and installs). The results appear in order of relevance, based on how many search terms occur per topic. Exact matches are highlighted.
To refine the search, you can use the following operators:
Type + in front of words that must be included in the search or - in front of words to exclude. (Example: user +shortcut –group finds shortcut and user shortcut, but not group or user group.)
Use * as a wildcard for missing characters. The wildcard can be used anywhere in a search term. (Example: inst* finds installation and instructions.)
Type title: at the beginning of the search phrase to look only for topic titles. (Example: title:configuration finds the topic titled “Changing the software configuration.”)
For multi-term searches, you can specify a priority for terms in your search. Follow the term with ^ and a positive number that indicates the weight given that term. A higher number indicates more weight. (Example: shortcut^10 group gives shortcut 10 times the weight as group.)
To use fuzzy searching to account for misspellings, follow the term with ~ and a positive number for the number of corrections to be made. (Example: port~1 matches fort, post, or potr, and other instances where one correction leads to a match.)
Note that operators cannot be used as search terms: + - * : ~ ^ ' "