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Product Data Standardization

In general, standardization ensures smooth operation process and develops credibility over time. The best practices in data standardization reduce redundancy and ensure efficiency. Nowadays, the amount of generated data around the work is increasing in every second. As we store and collect data, it’s very critical to normalize and standardize it in order to have an optimal usage; otherwise, it can surely get noisy.

Product Data Standardization

In general, standardization ensures smooth operation process and develops credibility over time. The best practices in data standardization reduce redundancy and ensure efficiency. Nowadays, the amount of generated data around the work is increasing in every second. As we store and collect data, it’s very critical to normalize and standardize it in order to have an optimal usage; otherwise, it can surely get noisy.

What the Service Offers?

One of the major challenges in building an effective database is the lack of standardization during the collection of product data from across the internet. Product Data Standardization is very crucial especially when avoiding the redundancy and increasing the accuracy in matching the product from across the different store. This can be a very difficult problem to solve and lack of standardization was proven to be a hindrance to numerous business systems. The entire data should be converted into a predefined format, which would require a domain expertise.
Data Standardization can optimize business processes including the order fulfilment and management, consolidation, supply chain optimization, and reduction of the supplier spend. Most of the organization face serious problems with the data quality and simply don’t trust the available data in their own systems. The approaches to standardize the product data through the use of traditional custom coded scripts and data quality were historically proven to provide poor results. The Product Data Standardization is multi-step process that will involve the following:

  • Product Data Augmentation
  • Product Data Normalization
  • Product Data Standardization through the use of reference data
  • Product Data Classification
  • Product Data Parsing

Advantages of the Service

Data Factory Hub uses an approach that is based on the combination of the most advanced techniques in parsing that are built on the natural processing techniques in language, configurable sets of the business rules, and fuzzy references in libraries. The advantages of our Product Data Standardization service include the following:

  • Profiling of product data can provide you an insight into the current state of product data
  • Classifying the product data to the standards such as eClass, GS1, 1SYNC, UNSPSC or other propriety standards.
  • Standardizing of the product data using the reference files from the manufacturers, the product catalog files, and the use of custom rules.
  • Handling the issues in the descriptions of product data such as noise, spellings and variations in the data using a rich, fuzzy set of matching libraries.
  • Supporting both the structured and the unstructured data sources such as Text Files, PDF, EDI, Excel Files, databases and other file formats.
  • Real time searching and matching option that will allow multiple application to have an access to the standardized data.

Why Hire Data Factory Hub

At Data Factory Hub we are building the deepest and broadest product database in the world. Our mission is to analyze, organize, and visualize the product information in the world so that everyone can possibly act on it. As e-Commerce becomes ubiquitous, there’s now an imminent need for universal product catalog. Our goal is to give every single product across the world their unique identified. So, whenever a certain product was seen by an end user, the entire catalog and offers attached to the product can also be seen in place.

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