Top 5 Big Data Case Studies

Is Big Data a household word? What’s going to push it that last mile?

~Everyday use by everybody.

Certainly, Big Data has become a large game-changer in the majority of the modern industries over the last few decades. As Big Data continues to pass through our daily lives, the number of different companies that are implementing Big Data continues to increase. Let us see how Big Data assist them to perform exponentially in the market with these big data case studies.

Top 5 Big Data Case Studies

Below are the interesting big data case studies –

1. Big Data Case Study – Walmart

Big Data Case Study - Walmart

It is the largest retailer in the world and the world’s largest company by revenue, with more than 2 million employees and 20000 stores in 28 countries across the world. Walmart started making use of big data analytics much before the word Big Data came into the picture.

Walmart uses Data Mining to find outlines that can be used to provide product recommendations to the customer, based on which products were bought together. Walmart by applying efficient Data Mining has improved its conversion rate of customers. Walmart has been racing along big data analysis to provide best-in-class e-commerce technologies to deliver superior customer experience. The main purpose of holding big data at Walmart is to enhance the shopping experience of customers when they are in a store. Big data solutions at Walmart are utilized to redesign global websites and build innovative applications to personalize the shopping experience for customers whereas increasing logistics efficiency. Hadoop and NoSQL technologies are used to offer internal customers with access to real-time data gathered from different sources and unified for effective use.

2. Big Data Case Study – Uber

Big Data Case Study - Uber

It is the primary choice for people around the world when they think of moving people and making deliveries. Uber uses the personal data of the user to carefully observe which features of the service are frequently used, to evaluate usage patterns, and to determine where the services should be more focused. Uber focuses on the supply and demand of the services due to which the prices of the services provided vary. Hence one of Uber’s biggest uses of data is rush in pricing. For example, if you are running late for an appointment and you book a cab in a congested place then you must be ready to pay twice the amount.

For instance, On New Year’s Eve, the price for driving for one mile can go from 200 to 1000. In the short term, rush in pricing changes the rate of demand, while long term use could be crucial to holding or losing customers. Machine learning algorithms are believed to conclude where the demand is intense.

3.Big Data Case Study – Netflix

Big Data Case Study - NETFLIX

NetFlix is the most esteemed American entertainment company specifying in online on-demand streaming videos for its customers. It has been decided to be able to forecast what exactly its users will enjoy watching with Big Data. For itself, Big Data analytics is the fuel that ignites the ‘recommendation engine’ designed to serve this purpose. More recently, Netflix started locating itself as a content creator, not just a distribution method. Naturally, this approach has been tightly driven by data. It’s recommendation engines and new content decisions are supported by data points such as what titles customers watch, how often playback stopped, ratings are given, etc. The company’s data structure includes Hadoop, Hive, and Pig with much other conventional business intelligence.

Netflix shows us that recognizing exactly what customers want is easy to understand if the companies just don’t go with the expectations and make decisions based on Big Data.

4.Big Data Case Study – eBay

Big Data Case Study - ebay

A huge technical challenge for eBay as a data-intensive business to develop a system that can quickly evaluate and act on data as it arrives. There are many quickly advancing methods to support streaming data analysis. eBay is working with various tools including Apache Spark, Storm, Kafka. It permits the company’s data analysts to search for data tags that have been connected with the data and make it usable to as many people as possible with the right level of security and permissions. The company has been at the lead of using big data solutions and actively contributes its knowledge back to the open-source community.

5.Big Data Case Study – Procter & Gamble

Big Data Case Study - P&G

Procter & Gamble whose products we all use 2-3 times a day is a 179-year-old company. The genius company has identified the capability of Big Data and put it to use in business units around the world. P&G has put a powerful prominence on using big data to make better, smarter, real-time business decisions. The international Business Services organization has developed tools, systems, and processes to grant managers with direct access to the latest data and advanced analytics. Therefore P&G being the oldest company, still holding a great share in the market despite having many promising companies.

Big Data predicting the uncertainties

An innovative study in Bangladesh has found that using data from mobile phone networks to trace movements of people across the country help to forecast where outbursts of diseases such as malaria are likely to occur, allowing health authorities to take precautionary measures.

Each year, malaria kills more than 400,000 people worldwide and most of them are children.

The numerous type of data, including data offered by the Bangladesh ministry of health, is used to create risk maps indicating the likely locations of malaria outbursts so the local health authorities can then be cautioned to take preventive action, including spraying insecticides and storing bed nets and medicines to protect the population from the disease.


With the different technologies it holds, Big Data assists almost every company or sector that aims to grow. Evaluating large datasets that are associated with the proceedings of the company can give them the vision to increase their customer satisfaction.