The e-commerce industry is among the spheres where Big Data can be applied. In this article, we will figure out what e-commerce businesses need for the shift in strategy.
The importance of Big Data for e-commerce
The structured part of Big Data in e-commerce includes various customer information, such as an address, zip-code, and the content of a shopping cart. The unstructured part refers to email, video, tweets, and likes in social media, which may be a valuable research source for e-commerce business.
As online retailers are already using analytic tools to examine shopping carts or display individual content based on the IP address via their content management systems, Big Data discovery will eventually extend their abilities in the shortest term.
We can figure out 5 main fields where Big Data optimization can change things over:
- Product portfolio;
- Online store;
- Customer service.
Ways to get Big Data in e-commerce
The remaining question is how to integrate Big Data into the operating e-commerce business.
The easiest thing is to use Google Trends thus being able to find what your potential customers are looking for, what they are interested in, and what will be trending in the near future. Hence, you can adapt your e-commerce store to these requirements, modify the product portfolio, etc.
The next step is social media analysis.
For instance, our development team tackled the task of implementing Big Data in social media and analyzing the statistics to further enhance world-famous network’s online advertising campaigns. The requested analysis covered the users’ activities, their behavioral patterns, collaborative filtering, and detection of viral patterns.
Uplifting the customer’s analytics system, SCAND contributed to using the client’s resources efficiently.
So, knowing the audience opinions and thoughts gives a tangible advantage among competitors.
Also, a popular solution for professional purposes is Apache Hadoop. This is an open-source software framework used for processing of Big Data using the MapReduce programming model. With this Big Data processor, you can collect data and analyze it.
Specifically, SCAND benefited from the framework while dealing with accumulating huge amounts of data on the application usage for their analysis and further reporting.
Deploying a Hadoop cluster was a necessity to fulfill the task and significantly reduce the cost of development efforts.
Big Data brings real benefits for most industries including e-commerce, and depending on the size of your online business, you can choose the most suitable Big Data solution, from Google Trends to Apache Hadoop.
The latter is one of the most popular solutions for professional needs and mainly used for large e-commerce businesses that are intended to utilize collected data and its analytics to achieve better results. We share our experience in involving Apache Hadoop for creating the solutions.