Data Science Use Cases in Government

Big data analytics have applications in different niches and can be helpful to various organizations and people. The best part about data analytics is that it can be adapted quickly, making it suitable for many applications. It is also quite useful for governments.

Since many new technologies are emerging, society is also developing rapidly. Due to these quick changes, governments have had to find solutions to many complicated tasks and ensure specific processes are carried out smoothly.

Governments require intelligent interfaces that can collect, clean, analyze and filter a truckload of data. Governments at the local level, departments, and federal agencies utilize tools that are backed by data for making their work more efficient and enhancing issues related to defense, law, order, security, public sector, etc. Let us look at the specific areas in which data science has been helpful to the government.

To detect frauds and analyze the financial market

The government has often used data science to predict claim rates, repayment rates, and default rates. They have also recorded data to develop cash flow models that can identify the premium amount, which is instrumental in keeping the cash flow positive.

Besides this, the state can use a big data strategy to analyze various disability claims and spot any fraudulent claims. A similar approach is applied to keep an eye on the financial market and spot any vile trading activities.

Fraudulent transactions are a source of huge losses to the government. Governments can use data analytics and intelligent data services to prevent such nefarious activities and prevent criminals from committing fraud.

De-registered companies

De-registered companies imply those companies are no longer registered, do not trade anymore, and are not liable to legal aspects of taxation. But, if there is a need to revive these firms, it can be done relatively quickly.

This piece of information provides scope for committing illegal activities. Firms do not exist on paper, yet they still carry their functions and earn revenue using this loophole.

With the help of solutions backed by artificial intelligence and analytical algorithms, governments are becoming better equipped to solve this issue. The algorithms are armed to observe the activity of businesses that look dormant and alert the authorities if there are chances of something suspicious happening.

The algorithms can identify the firm name and other related information amid the financial data. When the deregistered firms are revealed, it goes a long way in preventing organizations from avoiding taxes.

Research related to health

The government can improve biomedical research to a large extent with the help of big data. To accomplish this, we also require maximum community involvement so that researchers can get their hands on new knowledge. This is why many researchers are going for a data science certification course from Great Learning.

If more people are involved in large-scale projects, there is a better chance of analyzing, manipulating, and collecting the big data related to the biomedical sector. This will result in an improved understanding of human health and illnesses.

Big data technologies also have a use in food-borne diseases. The patterns of these diseases can be analyzed and understood to learn how we can prevent them from occurring. If any food item in the supply chain has been contaminated at any stage, it can be identified and discarded with the help of data science.

Social media can also be brought into the loop and can be utilized for tracking the spread of diseases. By analyzing social media behavior, one can also identify suicidal tendencies in

teenagers and young adults.

Defense

Defense occupies a pivotal role in the priority list of every country. A lot of money is spent on defense and related sectors worldwide. A lot of this budget is now spent on incorporating machine learning algorithms, big data, and solutions backed by AI. This technology can enhance the performance of several military institutions and organizations.

Big data has an essential role to play when it comes to matters related to defense. Since real-time analytics has entered into the field, governments have the power to monitor, record, and assess the borders, observe the navy and airspaces, and develop several video streams from objects that have strategic importance.

Intelligent solutions are much more suited to fulfill defense requirements since they are more precise, attentive, and dependable for monitoring results. Predictive analytics has the potential to change defense logistics completely and in how we fend off future threats. The algorithms develop scenarios that can happen and estimate the possible damage or hazards.

Apart from improving the defense scenario of a country, data science can also be an excellent skill to learn and provide an extra edge to your resume. You can choose to go for a PES University M.Tech data science course from Great Learning if you wish to be ready for the changing world.

Reducing crime

Security agencies can collect and compare data and integrate it later to predict or spot future crimes in the country. Programmers can develop analytical software to lock heads with terrorism by finding the location of roadside bombs.

Law enforcement agencies can also prevent cyber fraud cases by keeping an eye on transactions that have a suspicious pattern. Predictive technology is a good tool since it can associate repeat offenders with specific crimes and make the work of law enforcement

officers easier.

Conclusion

The above use cases point towards one conclusion only. Data science has numerous advantages and should be utilized to its full extent to progress further. Officials can save a lot of their time when letting the software take control. The state can prevent untoward incidents with the help of machine learning tools.

As the government uses data science in more spheres in the coming future, they will require skilled individuals to do their bidding. Great Learning has some great data science courses that can help individuals develop their skillset and prove their usefulness to the government.