Amazon: Using Big Data to understand customers
Amazon: Using Big Data to understand customers
Link: https://www.bernardmarr.com/default.asp?contentID=712
Amazon uses massive customer data to tailor and create a personalised online store for each customer, to achieve personalised and accurate marketing to customers, to help customers find interesting products on Amazon, and enjoy unique shopping experience.
Main practices of Amazon big data applications
1. Analyse various types of customer information and data
2. Segment customer groups for group product recommendation
3. Analyse product attributes to recommend product matching combinations
4. Create a personalised online store based on purchase history
Amazon collects data from users as they navigate the site, such as the time spent browsing each page. The retailer also makes use of external datasets, such as census data for gathering demographic details.
Amazon’s core business is handled in its central data warehouse, which consists of Hewlett-Packard servers running Oracle on Linux.
Link: https://www.bernardmarr.com/default.asp?contentID=712
Amazon uses massive customer data to tailor and create a personalised online store for each customer, to achieve personalised and accurate marketing to customers, to help customers find interesting products on Amazon, and enjoy unique shopping experience.
Main practices of Amazon big data applications
1. Analyse various types of customer information and data
2. Segment customer groups for group product recommendation
3. Analyse product attributes to recommend product matching combinations
4. Create a personalised online store based on purchase history
The technical details
Amazon collects data from users as they navigate the site, such as the time spent browsing each page. The retailer also makes use of external datasets, such as census data for gathering demographic details.
Amazon’s core business is handled in its central data warehouse, which consists of Hewlett-Packard servers running Oracle on Linux.
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