sap - What is data quality? Within SAP, data quality is...

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What   is   data   quality? Within SAP, data quality is defined as postal validation, duplicate checking, and error tolerant searching. Postal  Validation enhances address information by comparing data against address directories provided from local postal  authorities around the world. Duplicate Check avoids duplicate entries by scanning the  database  for potential  duplicates before new customer data is committed to the database. Finally, Error Tolerant Searching provides  flexibility by giving users the ability to conveniently search their SAP system for business information as required.  Involvement of a data quality initiative helps you maintain a reliable source of information for all departments within  your own organization while simultaneously maximizing interactions with your vendors, customers, and business  partners. When and where should I integrate data quality into my SAP Suite of applications or other projects in my  enterprise? Data quality should be integrated any place where data is entered, loaded, processed, or updated. Data quality  should   be   built   into   the   beginning   phases   of   all   Enterprise   Resource   Planning,   Customer   Relationship  Management, and Business Intelligence projects. Too many projects focus on data quality as an afterthought, at  the back-end of a data repository or when a project has failed. By not incorporating data quality measures at every  customer touch point, on both front and back-end operations, the cost of cleansing the data dramatically increases  as well as how long the cleansing process takes to complete. Can   I   integrate   a   data   quality   solution   within   other   software   applications?
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sap - What is data quality? Within SAP, data quality is...

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