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. Data cleansing services and acing in it has always been the priority of SoftNis that sets us apart from other data cleansing companies.
Effectively implicating the data cleansing techniques and initiating an unmatched facility of data cleansing services, we understand the needs of the client and the errors that commonly happen in the databases. This is why, our output is made to go through strict data cleansing processes involving Cosmetic Cleaning, Extracting the Specification, and other Attributes, and Standardization for the descriptions of the input products.
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.
Input Product Data: NORT 66.25294086.3 GW 7.0 7 X 1/2 X 1 1/4 St
Taxonomy 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.
Complete Specification of the Product will be captured from the Input as per the Taxonomy.
Data Standardization includes Identifying and Correcting Typo Error and Spelling Mistakes, Text Conversation to Desire Format, Standardized Manufacturer Name, Part Number, Noun and Modifier.
Long Description will be generated by Combination of Noun, Modifier, and Specification Name Value Pair.
Short Description will be generated using Abbreviations.
Using United Nations Standard Products and Services Code (UNSPSC)