Top 15 Big Data Applications Across Industries

We are living in a technological world of tremendous competition. And to hold a place for ourselves, then using Big data is the only option. Big data applications introduced cutting-edge possibilities in the technological world.

Undoubtedly, Big Data plays a significant role in our day-to-day life. Its applications have made our life easy and smooth. It has increased efficiency and productivity in almost every sector.

Let us see top Big Data Applications in various industries.

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Top 15 Applications of Big Data

1. Big Data in Education Industry

The education industry is flooding with massive amounts of data. The data is generally related to students, faculty, courses, results, and whatnot. The proper insights into these data can be used to improve the operational effectiveness and working of education institutes.

E-learning brings such a revolution in the education system. E-learning is a systematic and properly managed platform for education.

Let’s see some of the fields in the education industry where Big Data brings good changes are:

a. Course Material Reframing

It involves a reframing of course material according to the data that is collected based on what students want to learn. It is also done on the basis of real-time monitoring of components, which ensures that for how long the course is beneficial for the students.

b. Customized and Dynamic Learning Programs

Customized learning programs can be developed according to individual students. This can be executed by analyzing the data of each student’s learning history. This would contribute to improving the overall results of students.

c. Better Grading Systems

New advancement in the grading system is introduced, which is based on proper analysis of student’s data.

d. Career Prediction

Appropriate analysis and study of every student’s record are appropriately maintained. It will help to understand each student’s progress, weakness, strengths, interests, and more. It would also help to decide which career would be suitable for students in the future.

For Example:

“The University of Alabama” has more than 38,000 students. And earlier to maintain such a vast amount of data, there were no real solutions. But now administrators are using analytics and data visualizations to analyze the data. It helped in drawing patterns of university operations, recruitment, and retention efforts.

2. Big Data in Government Sector

The government sector generally has to deal with massive amounts of data on an almost daily basis. They usually keep track of various records and databases of the cities, states, growth, energy resources, geographical surveys, etc. Big data helps in proper analysis and study of this data. It helps the government in endless ways.

Some of them are as follows:

a. To identify areas that need immediate attention.

b. In making decisions regarding various political programs.

c. To overcome national challenges such as terrorism, unemployment, energy resource exploration, etc.

d. Big Data is used in catching tax evaders.

For example:

The Food and Drug Administration (FDA), which runs under the jurisdiction of the Federal Government of the USA, uses Big data to analyze and discover patterns and associations. Using this analysis, they identify and examine the expected or unexpected occurrences of food-based infections.

3. Big Data in Healthcare Industry

Big data contributes a lot to the Healthcare Sector. Majorly it reduces the costs of a treatment since there are fewer chances of having to perform unnecessary diagnoses.

Some of the best uses of Big data in the Healthcare Sector are:

a. It helps to detect the diseases by identifying them in the early stages. It prevents the disease from getting any worse. This, in turn, makes the treatment easy and effective.

b. It helps to predict the outbreak of an epidemic and detect the preventive measures that need to be taken to minimize the effects of the same.

c. It helps in research on past medical results so that patients can be provided with better services and medicines.

For Example:

Apple has come up with Apple HealthKit, CareKit, and ResearchKit. The aim is to empower the iPhone users to store and access their real-time health records in their cellphones.

4. Big Data in Weather Patterns

Weather sensors and satellites are deployed all around the globe. And massive amounts of data are collected from those sensors. These data are used to monitor the weather and environmental conditions.

All the data collected contribute to Big data and can be used in different ways, such as:

a. To study global warming.

b. In weather forecasting.

c. For preparations in the case of crisis.

d. To understand the patterns of natural disasters etc.

For Example:

IBM Deep Thunder provides weather forecasting through high-performance computing of Big data.

5. Big Data in Banking Sector

According to GDC prognosis, data in the Banking Sector is estimated to grow by 700 percent by the end of the next year.

Proper analysis and study of this data help detect any and all illegal activities that are being carried out, such as:

a. Venture credit hazard treatment.

b. Misuse of credit/debit cards.

c. Customer statistics alteration.

d. Risk mitigation.

e. Money laundering.

For Example:

Various software such as SAS AML (anti-money laundering) use Data Analytics to detect suspicious transactions and analyze customer data.

6. Big Data in the Media and Entertainment Industry

Today, people have access to various digital gadgets, and due to this, there is a generation of a large amount of data. Thus, there is a need for Big data in the media and entertainment industry.

Social Media also contributes to the generation of lots of data. Big data helps to handle and maintain all this data.

The benefits extracted from big data in the media and entertainment industry are:

a. On-demand scheduling of media streams in digital media distribution platforms.

b. Predicting audience interests.

c. Getting insights from customer reviews.

d. Targeting of the advertisements.

For Example:

Spotify is an on-demand music platform that uses Big Data Analytics to collect data from users. And it suggests music to customers according to their individual interests.

7. Big Data in Transportation Industry

Big data contributes to making transportation easier and efficient.

Some of the transportation areas which get benefited due to Big data are:

a. Real-time estimation of congestion and traffic control patterns. For example – we are generally using Google Maps to locate the least traffic-prone routes.

b. Big data is used to understand and estimate the user’s needs on different routes and then utilize route planning to reduce wait time.

c. Predictive analysis and Real-time processing of Big data help to identify the accident-prone areas. It helps to reduce accidents and increase the safety level of traffic.

For Example:

Uber generally generates and uses a vast amount of data regarding drivers, vehicles, locations, etc. All this data is analyzed and used to predict supply, location, demand, fares that need to be set for every trip, etc.

8. Big Data in Agriculture Sector

Big data is playing an important role in enhancing the performance of the agriculture sector. The main aim is to minimize the loss and increase the generation of necessary food grains. Big data has helped a lot to introduce the digital and futuristic methods of the existing agricultural traditions.

Some of the best uses of Big data in agriculture are:

a. Automating the watering system helps farmers to concentrate on other more critical factors.

b. Big data can maintain and analyze the data from past years and can suggest the pesticides that work best under certain conditions.

c. Big data smart technologies are collecting data directly from the fields; advanced algorithms are used for predicting the soil condition, weather condition. Based on these analyses, agricultural activities are carried out in fields.

9. Big Data in the Fast-Food Industry

Undoubtedly fast food is the most popular food choice all around the world. There are many popular fast-food companies like McDonald’s, Pizzahut, KFC, etc. These companies are implementing Big data to remain at the top.

Some of the best uses of Big data in Fast food industry are:

a. Predicting the number of customers at the specific time of the day so that they can deliver the food according to demand.

b. Collecting information about customer’s interests that helps them to design marketing strategies and follow trends.

c. When there are more customers at the food counter, Big data applications show only those items on the menu card or screen, which can be prepared within a short time.

d. Evaluating the performance of a branch and then fixing the locations where the new outlets or offices should be opened in order to increase the profit.

10. Big Data in the Retail Industry

Big data gives an opportunity to the retail sector by analysis of the competitive marketplace and customer interest. It determines customer engagement and customer satisfaction by collecting multifarious data.

Study how the performance and efficiency of the retail sector get improved by Big data:

a. It helps to increase customer intimacy and engagement by collecting information on customer’s spending patterns.

b. With predictive analysis, the industry can compare and maintain the supply-demand ratio.

c. The range of products, according to customer demand, can be determined. It also helps to set new business strategies for improvement.

d. Transactional data, social media data, and weather forecasting help to assure the updated condition of the current situation. And it helps to determine that the right product is available at the right time

11. Big Data in Telecommunication

With the increase in the amount of data passing through different channels of communication, it becomes essential to properly collect and manage it. Proper handling of data will lead to profit maximization, effective strategies for companies, etc.

Big data in telecommunication helps to visualize the transferred data that helps to make better management and customer satisfaction.

a. Visualizing techniques that are defined by algorithms can detect fraud groups who illegally access the system through fake profiles.

b. Big data help telecommunication companies to differentiate target audiences and add policies according to customer segmentation.

c. Predictive analytics helps to get customer feedback that will help to analyze customer preferences and interests.

d. Analysis of the current network management and customer engagement rate becomes easy; this information will also help to get to know the area of improvement.

12. Big Data in the Airline Industry

Big data has its best utilization in the airline industry as it provides them with minute-to-minute operational data. It helps them to gather information about customer service, weather forecasts, ticketing, etc. It also helps to take decisions for customer satisfaction and to meet demands.

Let us look at some best uses of Big data for the airline industry:

a. Smart maintenance of aircraft by comparing operating costs, fuel quantity, and costs, etc.

b. Improving the safety security of flights by capturing flight-related data, incident data, and it also strengthens aviation chain links.

c. Enhancing customer service and customer’s buying habits by analyzing past information. Example- helps to check the real-time baggage status of customers.

d. Determining air traffic control, in-flight telemetry data information to have a comfortable flight.

13. Big Data in Disaster Management

Almost every year, natural calamities like floods, hurricanes, earthquakes cause colossal damage to land, animals, humans, etc. And many times, Scientists are not able to predict the possibility of disaster. But the introduction of Big data in disaster management provides a new dimension for the betterment of things.

The recent development of artificial intelligence (AI), data mining, and visualization are helping meteorologists to forecast weather conditions more accurately. Some of the uses of Big data in disaster management are:

a. It helps the government to take necessary actions to reduce the adverse effects of natural disaster.

b. Analyzing data collected from satellites and radar that helps in examining the weather conditions every 12 hours.

c. Identifying the possibility of disasters by evaluating temperature, water level, wind pressure, and other related factors.

d. It involves clustering techniques, visualization, streamflow simulation, and association rules that can generate highly accurate results.

14. Big Data to Ensure National Security

Big data plays a vital role in ensuring national security. Many police forces use Big data to improve their workflow and operations all around the world.

Almost all developed countries implemented Big data in their social and security activities a long time ago. And it is good to know that underdeveloped countries have also started receiving the benefits of using Big data.

Let us go through some of the Big data benefits:

a. The government collects all the information about citizens of its nation, and this data is further maintained in a proper database.

b. It helps in evaluating the population’s density in a specific location and identifying the possible threatening situations even before anything occurred.

c. Security officers use the maintained database to find any criminal or to detect any fraudulent activities in any area of the country.

d. It also helps to predict the potential outspread of any virus or diseases and to take the necessary actions to prevent it.

15. Big Data in Ecommerce

E-Commerce is one of the best ways through which people can earn online. Ecommerce enjoys the benefits of operating online but also faces many challenges to achieve business objectives.

Big data in e-commerce provides a competitive advantage by delivering insights and analytical reports. Let’s look at some more benefits of Big data in e-commerce:

a. Collects the data and customer requirements even before the official operation has started.

b. Creating a high-performance marketing model and setting a startup according to current requirements and trends.

c. Identification of the most viewed products and the pages that appeared the maximum number of times can be easily done. This results in further enhancement of the e-commerce business.

d. Most importantly, it helps to evaluate the customer’s behavior and suggests the products according to their interests. It helps to increase the number of sales and generate revenue.

e. Big data applications can create a report depending on the visitor’s age, gender, location, etc.

Conclusion

We can conclude that in almost every division of our life, Big data has added an extra advantage. In the coming days, many further advancements in existing systems will be introduced. Big data is such a revolutionary technology that provides a new sight to the world to look at things in a better and innovative way.

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