DATA ENRICHMENT EXAMPLE

Scenario: Suppose you work for an e-commerce company, and you have a dataset containing information about customer purchases. The dataset includes columns like Customer_ID, Product_ID, Purchase_Date, and Purchase_Amount.

Objective: You want to enrich this dataset with additional information about the products, such as their category and brand, which is not available in the original dataset.

Data Enrichment Steps:

1. Appending External Data:
   

   • You obtain a dataset from your product catalog team that contains details about each product, including Product_ID, Category, and Brand.

1. Integration:
   

   • Using the Product_ID as the common key, you merge or join the original purchase dataset with the product details dataset. This results in an enriched dataset that includes the additional information.

1. Result:
   

   • The enriched dataset now includes all the original information about customer purchases, but it has been augmented with the Category and Brand information for each product.

Now, the enriched dataset provides a more comprehensive view of customer purchases, including the product category and brand, which ca