Product Data Classification : Involves classification of products to UPC, UPN, UNSPSC, eClass, SMD, NAICS, SIC, EGII, JPPSG, MESC, NIGP, ECRI, NDA or any other taxonomies.
Taxonomy Development : Involves building category tree structure in addition to defining attributes, grading the attributes by prominence within the category, and establishing data capture rules for each category attributes.
Data Cleansing & Normalization : Involves cleansing and normalization of products descriptions, which in turn helps in having short & long descriptions next to noun, modifier, and vendor name and part number, UOM, Attributes, etc.
Product Data Enrichment : Involves enhancing the quality and richness of data, extracting and developing attributes, manually sourcing additional data and information from suppliers and manufacturer website.
Data Matching & De-duplication : Involves de-duplication and identifying relationships by matching, linking and merging data to create optimized records.
Product Data Migration : Involves migrating data from lower version to higher versions on up-gradations.