Gone are the days, when data was nothing but storage. But after acknowledging the importance of data, it is being used like never before. Almost all the industries have already started analysing their data to derive meaningful insights for many purposes. And Wherever there is data, there is Data Science. Data Science is the best possible way to understand, analyze and implement appropriate solutions from the available data. Here are the top 7 uses of Data Science. Read ahead. Take a closer look at the Data Science Course to have a practical knowledge of Data Science implementation and use cases.
Proper healthcare is the utmost priority for both patients and hospitals. A patient’s healthcare history and the records of the diagnosis are crucial to understanding any patient’s health situation and also to predict the upcoming symptoms. However, it is difficult for any healthcare organization to take care of such data. That’s the reason Data Science and Big Data have been introduced into healthcare. To store the huge patient’s records, big data is useful whereas to analyze this data and to predict the future outcomes of the patient’s health conditions, Data Science is helpful. Data Science is being used in a variety of disciplines in healthcare, including predictive diagnosis, diagnostic imaging, drug development, genomics, and many more. IBM, EPIC, AMITECH are one of the top healthcare industries that use Data Science.
Data Science has become crucial in most finance industries. As describing data insights required in finances, Data Science helps such industries in deriving meaningful insights from the data. Data Science not only helps in the data analysis but also it is used to analyze the risk and also provide profitable solutions for the problems. Data Science is used as a risk management factor in finances. Data Science uses real time analytics and predictive analytics to help finance business decisions. Customer data management is also done by data scientists by using customer analytics. Top banks like Bank of america is an example of finance Data Science use case.
One of the top use cases where Data Science is being used widely is in marketing. Data Science helps businesses become successful in their digital marketing field through various ways. As digital marketing is the leading technique in the current business markets, the data has become valuable for them. But understanding the huge data and analyzing it is a professional’s job. That’s where Data Science professionals come into play. They use Data Science to understand customer behavior, content optimization, budget planning, search engine optimization, and many more. Basically Data Science is the key for digital marketing. Without a proper data analysis, using digital marketing techniques couldn’t be easy. Amazon, Flipcart are the top examples of digital marketing companies that use Data Science.
Fraud manifests itself in a variety of ways and impacts nearly every business. Several control mechanisms of businesses have numerous significant flaws. The industries that deal with it employ a variety of approaches to determine when and why fraud occurs. So they frequently rely on specialized Data Science methods to assist them in fraud detection such as data mining, data analysis to understand the unidentified logins or exotic threats. They also use Regression and Clustering analysis, to oversee the implementation against potential fraud.
Advanced Image recognition is a prominent Data Science application. Because vision and voice are two critical components of human contact, Data Science may replicate these human activities using computer vision and speech recognition technology. It has already begun to imitate and utilise in several industries, notably in e-commerce, among others. Machine learning advancements and the usage of high bandwidth data services are strengthening the application. These machine learning techniques of Data Science helps in face detection, object detection.
Search engines tend to provide you with the finest results that meet your requirements in the least period of time. And in order to forecast what you are searching for, Data Science algorithms will examine your prior research and website use activity. It will use data from your most visited sites, past searches, and far more to understand your requirements and show you the results which are possible at your interest. Google, yahoo, Bing and DuckDuckGo are the live use cases of Data Sciences. Data Science Tutorial gives you complete knowledge of various concepts in Data Science.
Online recommendations are the best investment of the companies to attract their customers. We may have seen online recommendations for products and services in many sites especially google and youtube. These online recommendations are also a use case of Data Science. As we have discussed earlier, Google understands our past data and predicts our future requirements in the same way the digital marketing companies sites will understand the customers behaviour using the past visited products and wishlisted items. In this way Data Science helps businesses through online recommendations to grab their customers’ attention. Spotify is an example for Data Science application in online recommendation.
One of the emerging popular technologies is automated self-driving cars. Data Science is being implemented in these autonomous cars to maintain the speed limit and by recognizing the vehicles and their speeds it can avoid accidents. Furthermore, to predict the fastest route possible, Data Science is helpful. Many top car brand companies like Tesla, Volkswagen and Ford are using Data Science as a key component in their self-driving cars.
Data Science applications are in Airline industries as well. Predictive analysis by Data Science is utilised extensively in the aviation industry for various objectives. It offers best customer experiences by predicting the delay in flights and assisting in the booking process. It is also useful for airline industries to understand the patterns of their customers’ booking to help them in offering the discounts on their multiple bookings. Data Science is also helpful to further hotel bookings and planning the routes. Airbnb is the best example of airline services that use Data Science to improve their customer satisfaction.
One of the most effective use cases of Data Science is gaming. With a wide increase of gaming businesses, the data has become ever growing. So gaming industries adopt Data Sciences to acknowledge the user behaviour such as determining how much time the user plays each day, what is their highest quitting point, what are their scores and so on. The machine learning algorithms help in game development and visual effects for the further highest levels. It is also used for game monetization and fraud detection. Zynga, Sony, Nintendo, and Activision-Blizzard are using Data Science in their gaming industries.