Fundamentals of Big Data and Analytics NMIMS Assignment Dec 2019

Fundamentals of Big Data and Analytics

1. The Healthcare industry is inundated with massive volumes of data generated each minute. With the adoption of electronic health records, mobile health apps and wearable technologies this is poised to increase dramatically over the next few years. Predictive analytics is used to analyze current data to predict future using data mining, statistics, modelling, artificial intelligence, and machine learning. It helps enhance various aspects in the healthcare segment. These include patient care, chronic disease management, supply chain efficiencies, and hospital administration. Explain predictive analytics and its importance in the healthcare industry. With the help of a suitable example elaborate how patient data can be used for preventive healthcare.

2. Every business today, needs to be on social media be it a small independent store to a large multi-national brand. Merely having a presence on social media is not enough, an organization has to measure the success of the posts and use various strategies to develop better campaigns. Social media analytics is needed to regularly spot trends and see what 's working. Explain how an Indian organization has used social media analytics to its benefit

3. Sports over the years have become extremely competitive &mdash today, the scenarios are so intense that a minute can completely flip the course of a game. And in order to stay one step ahead of the rivals, sports teams are opting to analytics. And it is not only because of the competitive pressure but also because of fans base who seek detailed information about players, their performance and the reason why the team won or lost. Simply put, sports analytics is the practice of applying data gathered from a player&rsquos or team&rsquos performance under different circumstance for better decision making and improving performance. It can also be used to understand and maintain a team&rsquos fan-base and capture the eye of investors. Sports analytics is not a very new concept, though &mdash it has been around for quite some time. However, the recent advancements in data collection and management have expanded its role significantly. Source: https://www.analyticsindiamag.com/why-sports-analytics-is-more-than-just-a-numbers-game/

a. Select an Indian Premier League IPL team of your choice and elaborate on how it used analytics to strategize its game.

b. How can analytics be used in sports to understand fan preferences and predict the winner of the game.