Check Data Quality for Items
The following scenarios illustrate the ways in which you can check data quality when working with items.
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Creating a single item
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Creating multiple items
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Editing an item
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Importing an item batch
Creating a Single Item
To check data quality when creating a single item interactively:
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On the Create Item page, select
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Examine the Check and Apply Data Quality Results window, which displays the classification, standardization, and matching values .
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If the data quality results are satisfactory, click Apply to apply the new values to the Create Item page.
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The data quality checks are also performed when you click Save, Save and Close, or Submit. Note that you can submit an item only when its item class is enabled for new item requests.
Creating Multiple Items
To check data quality when you're creating multiple items interactively:
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On the Create Multiple Items page, select
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Examine the Check and Apply Data Quality Results window, which displays, for each item in the set, the classification, standardization, and matching values.
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Use the iterator control to examine different items in the set. Click Remove item for an item to be removed from the set.
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If the data quality results are satisfactory, click OK to apply the new values to the Create Multiple Items page.
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The data quality checks are also performed when you click Save and Close or Submit.
Note: You can submit items only when their item class is enabled for new item requests. If the data quality results contain a mixture of enabled and nonenabled items, then the Submit action is replaced by the following actions:
Editing an Item
To check data quality when you're editing an item interactively:
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On the Edit Item page, select
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Examine the Check and Apply Data Quality Results window, which displays the classification, standardization, and matching values.
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If the data quality results are satisfactory, click Apply to apply the new values to the Edit Item page.
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The data quality checks aren't performed when you click Save, Save and Close, or Submit.
Note: Data quality isn't automatically checked when you update an item. To ensure data quality for existing items, you can run the periodically scheduled Semantic Key Update process.
Importing an Item Batch
You can specify data quality options when defining a source system or through an import batch definition by selecting Check Data Quality in the Data Quality section of the source system or batch definition. Items being created in Oracle Product Hub go through the data quality check automatically, while items that are updated using batches must have the data quality check initiated manually.