Business mapping

Netflix has millions of subscribers; it uses Big Data and analytics about a subscriber's habits based on age, gender, and geographical location to customize, which has proven to generate more business as per its expectations.

Amazon, back in 2011, started awarding $5 to its customers who use the Amazon Price Check Mobile App--scanning products in the store, grab a picture, and searching to find the lowest prices. It also had a feature to submit the in-store price for the products. It was then Big Data's role to have all the information on products could can be compared with Amazon products for price comparison and customer trends, and accordingly plan marketing campaigns and offers based on valuable data that was collected to dominate a rapidly developing e-commerce competitive market.

McDonalds has more than 35,000 local restaurants that cater to around 75 million customers in more than 120 countries. It uses Big Data to gain insights to improve customer experience and offers McDonalds key factors such as menu, queue timings, order size, and the pattern of orders by customers, which helps them optimize the effectiveness of their operations and customization based on geographical locations for lucrative business.

There are many real-world Big Data use cases that have changed humanity, technology, predictions, health, science and research, law and order, sports, customer experience, power and energy, financial trading, robotics, and many more fields. Big Data is an integral part of our daily routine, which is not evident all the time, but yes, it plays a significant role in the back to what we do in many ways. It's time to start looking in detail at how the life cycle of Big Data is structured, which would give an inside story of many areas that play a significant role in getting data to a place that might be used for processing.