10 Key Benefits of Data Cleansing and Normalization

As an eCommerce retailer, data cleansing and normalization is a critical step in ensuring that your product data is accurate and up to date. By analyzing the quality of vendor data and standardizing it so that all values are named in a uniform way, you can make it easier for customers to find what they’re looking for and increase the accuracy of your product data.

Here are 10 key benefits of data cleansing and normalization for eCommerce retailers:

1. Improved Data Quality

With data cleansing and normalization, you can ensure that all of your product data meets the quality standards set by the brand or industry. This can help reduce errors in your product data and make it easier for customers to find what they’re looking for.

2. Reduced Duplication

Data matching and de-duplication can help you identify and eliminate duplicate or redundant data. For example, a retailer could identify duplicate items that have different product numbers or duplicate items that have different names.

3. Consistent Naming Conventions

With data cleansing and normalization, you can standardize the way product values are named. For example, an apparel retailer could ensure that all sizes are named in a consistent manner (e.g., small, medium, large) and an electronics retailer could ensure that all storage sizes are named in the same format (e.g., either 4 GB, 4gb, 4 gb or 4 gigabytes). This makes it easier for customers to find what they’re looking for.

4. Accurate Search Results

By standardizing the way product values are named, you can ensure that customers receive accurate search results. This helps customers find what they’re looking for and increases the likelihood that they’ll make a purchase.

5. Improved Inventory Management

With data cleansing and normalization, you can have more accurate inventory data. This helps you keep track of what products you have in stock while making sure you have the right amount of each product at any given time.

6. Streamlined Order Processing

By standardizing product data, you can reduce the time it takes to process orders. This eliminates the need for manual data entry and makes it easier for customers to place orders quickly and accurately.

7. Automated Workflows

By cleansing and normalizing product data, you can automate workflows and create more efficient processes for tasks including product photography, data onboarding, promotion launches, product descriptions, and more.

8. Increased ROI

By reducing errors and streamlining processes, you can increase the return on investment (ROI) of your product data. This helps you get the most out of your product data so you can ensure you’re getting the best value for your money.

9. Reduced Costs

By automating workflows and eliminating manual data entry, you can reduce the amount of time and money spent on product data. This helps you save money and reduce costs.

10. Improved Customer Experience

By ensuring that product data is accurate and up to date, you can improve the customer experience. This helps customers find what they’re looking for and makes them more likely to make a purchase.

Data cleansing and normalization can have a big impact on your eCommerce business. By improving the quality of your product data and automating workflows, you can reduce errors, streamline processes, and improve the overall customer experience. Learn more about data cleansing and request a quote here.