Reference no: EM133241070
Read and analyze the items carefully, then evaluate how big data impacts their decision making and strategy.
Question 1. Netflix implements data analytics models to discover customer behavior and buying patterns. Then, using this information it recommends movies and TV shows to their customers. That is, it analyzes the customer's choice and preferences and suggests shows and movies accordingly.
According to Netflix, around 75% of viewer activity is based on personalized recommendations. Netflix generally collects data, which is enough to create a detailed profile of its subscribers or customers. This profile helps them to know their customers better and in the growth of the business.
Question 2. Google uses Big data to optimize and refine its core search and ad-serving algorithms. And Google continually develops new products and services that have Big data algorithms.
Google optimized its search engine to collect the data from us as we browse the Web and show suggestions according to our preferences and interests.
Question 3. LinkedIn is mainly for professional networking. It generally uses Big data to develop product offerings such as people you may know, who have viewed your profile, jobs you may be interested in, and more.
LinkedIn uses complex algorithms, analyzes the profiles, and suggests opportunities according to qualifications and interests. As the network grows moment by moment, LinkedIn's rich trove of information also grows more detailed and comprehensive.
Question 4. Walmart is using Big data for analyzing the robust information flowing throughout its operations. Big data helps to gain a real-time view of workflow across its pharmacy, distribution centers, and stores.
Big data is helping Walmart analyze the transportation route for a supply chain, optimizing the pricing, and thus acting as a key to enhancing customer experiences.
Question 5. Uber is the first choice for people around the world when they think of moving people and making deliveries. It uses the personal data of the user to closely monitor which features of the service are mostly used, to analyze 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 change. Therefore one of Uber's biggest uses of data is surge pricing. For instance, if you are running late for an appointment and you book a cab in a crowded place then you must be ready to pay twice the amount.