BIG DATA ECOMMERCE — DEFINITION, EXAMPLE, INSIGHTS OF 2023
Big data eCommerce is gaining more traction each year. This type of commerce refers to the use of big data analytics and technologies to improve customer engagement, personalize the shopping experience, and increase sales. While there are many benefits to big data eCommerce, there are also a few challenges that need to be overcome. In this post, we’ll take a closer look at what big data eCommerce is, discuss some of the advantages and disadvantages, and provide insights into how it will evolve in the next five years. Stay tuned!
What is Big Data eCommerce?
Big data eCommerce is a form of eCommerce that uses Big Data and Analytics to improve customer engagement, personalize the shopping experience, and increase sales. Big data eCommerce engages customers in two main ways: by providing personalized recommendations and increased visibility into product information.
According to Wikipedia, Big Data also refers to any collection of data sets so large and complex that it becomes challenging to work with using traditional database management tools. The challenges include capture, storage, search, and analysis. Big data challenges include Big data as an architecture challenge, Big data as a technology challenge, and Big data as a talent and organizational challenge.
