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Data Science is among the widely used technologies of this digital era. Data Science is extending its areas of application in various sectors such as healthcare, media and entertainment, banking and finance, education, retail, e-commerce, and many more. Moreover, applications of Data Science help analyze, manipulate, and visualize business data to understand it and change the business strategies accordingly. In this blog, you will comprehensively know about Data Science areas of application.
Data Science Areas of Application
The field of Data Science is filled with wonderful applications. In this modern era of digitization, Data Science is making a huge difference in making businesses successful. Not only in business but fields like healthcare, aeronautics, robotics, medicine, etc., Data Science is the game changer. Here is the list of applications of Data Science that you will be introduced to in this blog:
- Education
- Airline Route Planning
- Healthcare Industry
- Delivery Logistics
- Banking and Finance
- Filtered Internet Search
- Product Recommendation Systems
- Digital Marketing and Advertising
Education
From earlier civilizations, education has been one of the key aspects of transforming the lives of people. It has helped innumerable people shape their careers and succeed in their lives. Now, education is one of the sectors where Data Science is making drastic changes in improving the entire system and the performance of students, teachers, and other key stakeholders. For example, with Data Science, the data of teachers such as their qualification, student ratings, the effect of their teaching on the improvement of exam results, etc. are collected, analyzed, and used for further performance enhancement.
Airline Route Planning
One of the areas where Data Science is revolutionizing the day-to-day business activities is the Airline industry. For a very long time, the Airline industry has been bearing a substantial decline in revenue generation, and then Data Science emerged as a savior. Previously, due to competition, the airline companies used to provide discounts to customers to attract them. Also, due to the high rates of fuels and the lack of proper analysis for the delay of flights, destination, halts, optimized routes, etc., airlines were unnecessarily spending a lot on extra fuel.
Healthcare Industry
The advancement in medical science has revolutionized the healthcare industry. There are fast and effective treatments for almost all diseases. However, there are areas of healthcare where Data Science is helping in efficient diagnosis, data management, medical research, etc. through data analysis and visualization.
Delivery Logistics
When it comes to delivery logistics Data Science is not far behind the race. Many companies use data for optimizing their business operations. It helps in the analysis of profit generation, the causes of loss, the best route for delivery, the time required, and the scope for improvements. Other than that, the application of Data Science in delivery logistics helps the companies analyze the market trend and increase their competence. Further, with the help of route optimization, the number of deliveries increases and the freight cost reduces. By this, companies can boost their profits. This is how the application of Data Science plays a major role in logistics.
Banking and Finance
As we all know, the sector of banking and finance is prone to financial frauds and thefts. This happens due to the lack of proper analysis of customer data. Since there are millions of records of customers in databases, it becomes a difficult task to track all of them.
This is where the application of Data Science in banking and finance comes into the picture. It helps organizations efficiently process data.
By processing the data, the system can analyze individual customer’s financial history, loans, income, and debt clearance. Also, it helps in finding both genuine and suspicious behaviors in transactions. Further, the Data Science application in finance helps in the following ways:
- Stamping out Tax Fraud: The economy of a nation depends on its taxpayers. Governments need taxation to maintain the economic infrastructure of countries. If there occurs a fraud activity related to taxation, then it directly affects every citizen of a nation. Therefore, governments have started implementing Data Science to analyze citizen data to prevent tax fraud. With the application of Data Science, the income tax departments keep track of the income and calculate the tax. If the calculated tax is not collected, they track the suspicious taxpayers to take action against them.
- Credit Scoring: Credit scoring is another application of Data Science that helps check the financial civil score of an individual. The credit score is rated out of 10. It helps financial institutions make decisions on sanctioning loans. They decide the loan amount and its sanctioning on the basis of the credit score calculated out of 10.
Apart from the above-discussed applications of Data Science in banking and finance, banks use data to identify their potential customers. They provide certain benefits to their potential customers to maintain a lifetime customer relationship.