Case Study Data Analytics Protect Its Customers And Clients

Data analysis
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Abstract
Big data analytics tends to protect its customers and clients by ensuring proper security protocols that help detect fraud. PayPal, however, executes more massive data every second across 26 countries and maintains itself by providing correct work. When astronomical data is involved, then the risk rate increases, and therefore, the security measures are strengthened. Through shopping, PayPal ensures that the process of payments with vendors is secure through cloud computing.
The shopping we all do online helps analyze how services can be improved and the way they deliver. However, online shopping today is becoming a problem in most countries, as many people order specific things, and they tend to offer something different. The results and comments that many give on online shopping activities help to predict and analyze its effectiveness. With the typing and browsing history, then data can be analyzed and know which sites are more visited regularly and which ones have not. With online shopping, the retailers are looking for an engaging experience as it can predict what the customers are looking for and give them a variety of choices. In being successful, online marketing platforms always undertakes its activities ahead of the customers.
Methods
Predictive analytics ensures continuous analysis of the data that the customers generate while the machine learning will do the necessary results and predictions. Every customer needs different kinds of products and services, and predictive analytics helps in measuring and analyzing various elements for each customer (Parker, 2016). These behaviors will help create a more engaging environment and generate responses from clients, thereby making trading a more personalized experience. Predictive analytics allows online trading to boost its sales by allowing campaigns that target to promote products and services for the customers. Through the browsing history and online shopping, then predictive analytics will help e-commerce businesses to set price levels due to the way that the customers prefer.
The society today wants to shop online, and order products and services to their homesteads; this helps reduce travel costs and movements in getting the products. It’s an important trait that everyone has, and one can choose from a variety of settings, and at times, it’s always cheap. Restricting this habit will damage the economy of most countries; however, it reduces the shopping level in the shops and supermarkets locally. Online shopping and browsing to find relevant data or transfer money come with the advancement in technology, and we look forward to ...