High-quality product data is reliable, comprehensive, consistent, and up-to-date information that can be used across the organization. Rationalized product data provides the basic information necessary to single out one product as being unique from many
other products in the group. These unique identifying characteristics include part number, price, and short description, as
well as product attributes, images, PDFs, and detailed descriptive information such as features and benefits, and more.
In the following example, the unclear and inconsistent
product descriptions relating to the Allen screw
(shown above) have been normalized into a consolidated, structured, classified, standardized table.
Sample Product Data
| Category |
Type |
Screw Size |
Thread Pitch |
Head Style |
Fastener Length |
Drive System |
Material |
Screw |
Machine Screw |
M10 |
1mm |
Cylindrical |
30mm |
Female Hex |
Stainless Steel |
Normalized and structured product data enhances searchability.
For example, diameter may also be described as segment length, thickness, or width. Choosing one term to represent all permutations of the word diameter enables quick comparison between and within manufacturers.
Learn more. (PDF 475kB)
InQuera forges content from product data
InQuera's
data refinement process creates consolidated, tabulated product data through
Aggregating product data from different languages, sources, applications, and formats
Classifying data into categories
Normalizing and cleansing the data
Extracting product attributes
Enriching the data
Identifying duplicate or similar products
Creating content
If your product data is incomplete, unclear, or inconsistent, it could be costing your company a fortune.
Contact an InQuera representative for a product data quality check-up.