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The No-Mess data rationalization process
Aggregates product data from different languages, sources, applications, and formats;
Cleans and standardizes the data;
Classifies it into categories according to a given taxonomy;
Extracts product attributes;
Enriches the data; and
Identifies duplicate or similar products.
The result: Consolidated, organized, classified, standardized, and tabulated product data. Learn more about product data quality.
No-Mess uses its high-performance product data quality solution to clean up dirty product data and keep it clean. For example, the product descriptions below are from a global company’s purchasing departments located in Korea, Israel, the United States, and Germany, actually describe the same product, an Allen screw.
Before No-Mess: Messy raw data
Note: The attribute values are consolidated into one table assuming they meet the accepted tolerance.
Contact an InQuera representative to find out how No-Mess can improve your product data quality.
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