NextWealth / Services / Structured and Semi-Structured Data / Attribute normalization

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Attribute normalization

Most of the eCommerce businesses deal with hundreds of products and its related datasets. They can be product names, prices, available sizes, colors, fabric options, categories, and many more. So, each product can be tagged with multiple attributes to define it. In normal circumstances, the data records are arranged randomly in the database. However, this can cause many problems, which is why opting for attribute normalization is crucial to any eCommerce business.

Attribute Normalization is a process where the data records will be systematically arranged based on different attributes, such as product sizes, availability, color, quantity, and so on. Normalization can also influence customer decisions based on the categorical arrangement of the product details.

How do we perform Attribute Normalization for eCommerce products?

NextWealth delivers attribute normalization services to ensure the product results are as per the expectations of the businesses. In addition, we have been working in the eCommerce and online retail domain for several years now and understand the appropriate steps to standardize the product datasets and systematically organize them.

First, a full audit of the eCommerce storefront is conducted to find any inconsistency and duplicity in the displayed information.
Usually, the audit checks are done based on a plethora of attributes, to see if the right definition of the products and right filters are used.
The next step is to map the product data and classify the forms with the customer searches. This is one of the most important steps in attribute normalization.

eCommerce Product Classification

Classification of products can be done based on type, technical specifications, size, purpose, customer search relevance, and many other categories. Some of the significant benefits of eCommerce product categorization are

Product classification into multiple groups helps to improve the reporting process. Once the categories are identified and divided, it becomes easier to extract datasets based on the same and analyze them to gain more insights into customer behavior.
Since categorization establishes a proper structure, it becomes easier for different departments to communicate with each other and maintain a proper flow of information, both vertically and horizontally. This also improves business efficiency and clarifies all the teams working out of the business silos.
Another benefit of eCommerce product classification is in boosting website traffic. When customers reach the eCommerce storefront and find all the products easily and systematically, they are bound to have a great customer experience.

Advantages of attribute normalization

When the datasets are arranged in a mess, there is no accuracy in the records displayed at the front end. Most often, the datasets extracted from the backend don’t even match with the concerned product search. This can cause a lot of problems, especially during analysis and reporting. This is why the normalization of the eCommerce product datasets is crucial. Once normalization is applied, the product datasets are arranged systematically to introduce maximum accuracy and precision in the extracted results.

With the help of attribute normalization, it is also possible to increase the visibility of the products, especially on the search engine platform. Therefore, drawing the visitors’ attention won’t be a hassle anymore, especially since the market is so hypercompetitive.

Sometimes, irregularly stored datasets can often lead to data duplication. Here, multiple records are created simultaneously, thereby causing problems in versioning. It can lead to miscalculations, improper record displays, and so on. This is why normalizing the product data is essential. It can help in removing duplicate data records and also correct versioning. Also, businesses won’t have to apply multiple patches to set the database right.