Top 8 Best Data Science Applications

In this article, we are going to talk about Data Science which has become an essential part of many industries and helps them by various methods to improve technologies and generate revenue for the company. Companies are implementing this to read the mind of their customer and competitor to follow the trend and perform accordingly. Along with that, it performs in multiple areas across the world and industries. We will know much more about this through this article so, let's dig into it.

What Is Data Science?

Data Science is a gigantic field and a popular stream blending computer science and statistics. To get into this field one must have proficiency in statistics, mathematics, programming, and business workflow to extract meaningful insights from various data sets. Data Science encompasses a wide range of domains such as data mining, analysis, machine learning, and other methods on unstructured or semi-structured data. Many organisations are using Data Science to understand business requirements, customer needs, behaviours, future trends, demands, and diverse enterprise operations. The role of a data analyst is to extract all data with the help of visualising tools such as Qlik, Tableau, etc.., to use data for storytelling, it helps business executives to make decisions from these tangible values.

Top 8 Best Data Science Applications

Manufacturing

Across the globe, almost 9 out of 10 companies are relying heavily on data to understand the user's requirements and necessities of various manufacturing products. With the help of Data Science, manufacturing companies are able to analyse which parts in manufacturing need more attention and workforce. Gathering data of various forms of manufacturing helps the manufacturing team in different ways such as it cuts down operational redundancy, improves the precision to predict the amounts of goods required for manufacturing, reduces forecasting errors in the supply chain, optimises production rates along with various manufacturing aspects.

With the help of previous manufacturing data, it becomes easy to predict which companies have delivered the best spare parts and whose spare parts were defective. In future, this data will help them to be more calculative and enable them to take better decisions in reducing losses, predicting demands, and user requirements in terms of product customisation. Many companies such as Fitbit, Boat, JBL, and Lenovo use Data Science to have a clear picture of the market’s demand for the product they deliver before manufacturing.

Advanced personalisation

We all are aware of the new technologies and almost millions of people across the globe use devices such as smartphones, smartwatches, and other electronic gadgets. All companies generate a colossal amount of data to personalise various actions on the product or app that can draw more revenue for the business. Understand this with an example, many of us use Netflix or Amazon prime. What do these companies do? If you have noticed, these platforms suggest series based on our choice or taste with the help of our precious searches on that platform. So, we can say that these companies gather data and do further action on the basis of that data.

Medical image analysis

After the arrival of Data Science, it has become a boon for medical science and health care. Medical image analysis is one of them and Data Science along with machine learning can detect various diseases or health issues like tumours, organ delineation, artery stenosis and various other diseases from images. Different frameworks and libraries are used by professionals to detect issues from images. And these processes use machine learning methods such as wavelet analysis, SVM, and content-based medical image indexing. It is in high demand and will be a boon for doctors in future as with the help of Data Science and machine learning assistance diagnostics of patients will be easier.

Data Science in advertising

In the field of advertising, data has become the key element as whenever we see google ads 8 out of 10 leverage Data Science and their algorithms. This is the main reason why digital marketing ads receive a lot higher CTR than legacy advertising techniques. With the help of previous data, companies alter their ads to increase sales and attract more customers towards a particular product. Many companies have even adopted Data Science for such advertising within their platforms such as Netflix, Myntra, Flipkart etc. In the future, more companies will leverage data to make this requirement and recommendation more precise.

Airline Route Planning

Data Science is a boon for airlines as these companies are massive economic sectors that often run with losses. But to make this industry a profitable business, airlines have started leveraging Data Science to track the behaviour of the market as well as the customer. With the help of Data Science, airline companies can make precise analyses of various variables which can bring these companies significant profits. Not only these but by implementing Data Science these firms can also

- Forecasts of delays in the flight

- Suggest the shortest route

- Helps in deciding whether to land at the destination or halt in between.

Transportation

In the field of the transportation industry, it helps to prepare a comprehensive study of driver behaviour, usage of fuel, and vehicle tracking. Day by day along with machine learning, Data Science is making transportation systems safer by improving performance and leading to autonomous vehicles and also improving documentation of routes, traffic, weather and many other factors which can affect a journey. Many well-known transportation or cab-offering companies such as Ola, Uber, etc are leveraging Data Science for improving various factors like pricing, delivery routes and much more.

Defending against cyber threats

It plays an important role in cybersecurity as it helps improve the techniques by analysing the pattern for better combating cyber threats. With the help of it firewalls, antivirus, and other defence applications can understand the patterns of the attacker and notify the network or system administrator, of the possibility of a security breach. Some of the big companies such as Crowd Strike, FireEye, Blue Hexagon and many others have already started using Data Science in their products. This is profoundly revolutionising the security scenario through data-driven approaches.

Internet search

A colossal amount of search engines leverage Data Science to read the mind of humans and search patterns. All searches which are performed on any search engine execute various algorithms to serve the optimum result in every search of every user. All algorithms help search engines to understand users’ behaviour, pattern, and trait to suggest results accordingly. Nowadays search engines are becoming, even more, faster as they are able to serve millions of results in a fraction of a second.

Conclusion

In this era, Data Science plays a key role in almost every field to understand the behaviour of customers and competitors of a company or business. It also helps in enhancing productivity which leads to high revenue for the company. This is being used in various areas which have already been mentioned in the above article. It requires professional Data Science Training to make a dynamic career in the same. If you are thinking of making a career in the same, you can visit the APTRON institute for Data Science Course in Noida.