Data Profiling

What is Data Profiling? (Definition)

Data profiling is the process of examining your data to understand its structure and quality. It helps you see what information you have and how accurate it is. You use it to find patterns and spot errors. It also checks if your data follows your specific business rules. By looking at specific details, you can decide if the data is ready for use. This is helpful before you move data into a PIM system like WISEPIM. This process creates a summary of the data's traits. It counts missing items and finds duplicates. It also identifies the highest and lowest values in your lists. Think of it as a health check for your information. It happens before you clean or fix your data. This ensures your team does not move bad data from one system to another.

Why Data Profiling is Important for E-commerce

Data profiling is the process of checking your product information to find errors and understand its quality. For e-commerce brands, this is the first step to keeping product feeds accurate. Suppliers often send data in many different formats. Profiling helps you find missing dimensions or wrong barcodes before they reach your webshop. This prevents issues like shipping mistakes or customers leaving their shopping carts. Profiling also helps you make better business decisions. For example, a profile might show that 40% of your products lack a "Material" description. This tells your team exactly where to focus their work. Using WISEPIM for profiling helps you spot these issues early. This reduces manual labor and keeps your live sales channels running smoothly.

Examples of Data Profiling

• 1You check a supplier's file to ensure the price column only contains numbers. This prevents currency symbols from causing errors in your system.
• 2You discover that 15% of products in the footwear category are missing a size. This tells you exactly which items need more data before they can be sold.
• 3You scan the brand list to find different spellings of the same name. This helps you find variations like 'Nike' and 'nike' that need to be made consistent.
• 4You check all product image links to make sure they work correctly. You also verify that every image has the right shape and dimensions for your website.
• 5You search for duplicate barcode numbers (GTINs) in your product list. This ensures that every unique item has its own specific code.