Data Enrichment
Data enrichment is a value adding process, where external data from multiple sources is added to the existing data set to enhance the quality and richness of the data. This process provides more information of the product to the customer.
Data Enrichment Process involves:
Attributes Development
This process is also called as Schema development. Here Data experts having the core knowledge of the products respective to their Industry develop the attribute sets for each product which is complete, valid, consistent and unique.
Attribute Extraction
Attributes are captured from different sources.
Web Research
Capture product information from manufacturer / vendor websites or catalogs. Part number validation is also involved in this process.
Hard / Soft Copy
Capture product information from the hard or soft copy catalogs, pdf’s and other documents.
Manual Sourcing
Contact manufacturer / vendor to get the product information or high resolution images.
Quality Control
Quality Control is done to reconfirm the accuracy of data in all stages and at the end of the process by data experts.
Key benefits of Data Enrichment:
Complete, Consistent & Uniform product information
Enhanced data maximize Data Integrity and Value
Enhanced spend visibility
Keeps data Current and Accurate
Improved employee productivity, reduced turnaround
Easy item search and identification
Wissen Glanz India Pvt Ltd
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Wissen Tower, No 26/3, 24th cross, Shrusthi Layout, Vijaya Bank Colony, Chikkabasavanapura, K.R Puram, Bangalore - 560 036.