Product Data Cleansing or Cleaning or Scrubbing

Data Cleaning is the process of resolving inconsistencies and removing errors in data before loading it into targets, like a database. In order to cleanse the data, SoftNis primarily identifies the duplicate, incomplete and inconsistent data and transforms into a plagiarism free, non-gibberish form of piece of work. This processed work is capable of being uploaded in the determined targets.

Product Identification

Product Identification is the first step in the Product Data Management process: Our Domain Experts will identify the Product from the given Information and define the Noun and Modifier.

Example:
Input Product Data: NORT 66.25294086.3 GW 7.0 7 X 1/2 X 1 1/4 St

Schema Development (Attribution)

Schema Development is a way of defining a set of Specification Attributes to a particular product and the same Attributes will be used to capture the specification across the manufacture. Taxonomy will provide consistency across manufacturers.

Example:

Attribute Extraction : Extract Data from Description

Complete Specification of the Product will be captured from the Input as per the Taxonomy.

Example:

Standardization and Normalization

Data Standardization includes Identifying and Correcting Typo Error and Spelling Mistakes, Text Conversation to Desire Format, Standardized Manufacturer Name, Part Number, Noun and Modifier. 

Example

Product Long Description

Long Description will be generated by Combination of Noun, Modifier, and Specification Name Value Pair.

Example:

Product Short Description

Short Description will be generated using Abbreviations.

Example:

Product Classification

Using United Nations Standard Products and Services Code (UNSPSC)

Example