Big Data Applications in Today’s World


Top 20 Big Data Applications with Examples in Today’s World


Big data applications have introduced cutting-edge possibilities in every aspect of our daily life. We are living in a world of tremendous competition. And holding a place for ourselves is the main challenge. If we take a break just even for a short period, we will lag behind others. To keep up the pace and establish ourself, then using big data can be the only option. Big data applications have made our life better and smooth as well.

Big Data Applications & Examples

We are using big data for increasing our efficiency and productivity. Sometimes we may not even understand how data science is performing and creating an impression. The benefits and competitive advantages provided by big data applications will be discussed throughout this article.

1. Big Data Implementation in the Fast-Food Industry

At today’s age, fast food is the most popular food choice all around the world. Young people are choosing fast food over traditional locally made food to save time. Another benefit of having fast food is the option of taking food while you are on the go. There are many popular fast-food companies like McDonald’s, KFC, Pizzahut and so on. These companies are the leader in this industry and taking help from big data to remain at the top.

Interpretation of the Application

  • Using a populated database containing demographic, interest, and behavior, fast food companies try to bring changes in the food menu.
  • Predict the number of food lovers at the specific time of the day so that they can take preparation according to the demand.
  • They have all the information about their customer, which help to design the marketing strategy and follow trends.
  • When the queue is long, the data science applications automatically shows only the foods that can be prepared within a short time.
  • Can evaluate the performance of a branch and fix the locations where the new offices should be opened to increase profit.

2. Big Data in Banking Sector

We keep our valuable properties in the bank for ensuring security. But a bank has to go through a lot of strategies to keep your wealth safe and well maintained. In each bank, big data is being used for many years. From cash collection to financial management, big data is making banks more efficient in every sector. Big data applications in the banking sector have lessened customer’s hassle and generated revenue for the banks.


Interpretation of the Application

  • Using clustering techniques banks can take important decisions. It can identify the new branch locations where the demand is high.
  • Association rule is applied in banking sectors to predict the amount of cash needed to be present in a branch at the specific time of every year.
  • Banking platforms are digital now, and all operations can be done from home, which is a blessing of data science.
  • Machine learning and AI are being used by many banks to detect fraudulent activities and report to the related personnel.
  •  Data science has made it easy to handle, store and analyze this massive amount of data and ensure its security as well for the banks.

3. Big Data in Casino Business

Casino Business is profitable once you start operations with proper and eye-catching establishments. It is essential to focus on the decoration and interior design to attract the people, primarily the gamblers. But the most crucial thing is maximizing profit where big data can play the most critical role. Casinos have started applying big data in many countries and experienced massive revenue over the years.


Interpretation of the Application

  • Big data applications can quickly identify the most popular games, and casinos can increase the number of similar machines to engage more customers.
  • Every casino has some glittering establishments which are set up using the big data. Big data helps to identify places where people love to pass most of the time.
  • Using data science, you can engage people and motivate them to come again and again. So you will earn a profit over the years.
  • When you give more money to the customers than what you earn, you will have to shut your casino business down within a month. Big data ensures your profit. 
  • If any games are not popular Big data applications will automatically detect these games and help you to evaluate their performance.

4. Big Data in Restaurants

The restaurant industry is focusing on using data-centric applications more and more to establish a place in the existing market. If we consider the restaurant business industry, we can see a lot of competition and struggle that a restaurant has to face to be there in the market. If you are a restaurant owner, you must introduce data science applications into your business processes to increase efficiency and productivity. Sustaining innovation can also play an important role.


Interpretation of the Application

  • Collects essential data from customers as a part of the operation and stored into a database to find new possibilities and identify opportunities.
  • Evaluate data to predict customer behavior along with their food taste and demand as well.
  • Identify companion products like if someone buys chicken, he/she is more likely to buy Pepsi also.
  • Data mining is used to find hidden patterns and similarities that help the restaurants to determine their potential customers.
  • Image processing and Machine learning identify the most wanted place in restaurants. Restaurant owners then can highlight the area for marketing purpose.
  • Besides, data science applications like smart inventory or stock management system are making life easier for the managers to keep track of the resources.

5. Big Data in Media & Entertainment

Media companies and entertainment sectors need to drive digital transformation to distribute their products and contents as fast as possible at the present market. The availability of searching and accessing any content anywhere with any device becomes a widespread practice. It can even help to figure out the views or likes of an artist to measure the popularity in the digital media sector.

Interpretation of the Application

  • Helps to gather the information and demands of the individual.
  • Identifying the device and the most effective time to view data for analysis afterward.
  • Can be used to identify the reason behind subscribing and unsubscribing a content and . the interest in particular content.
  • Big data applications help to set the ad target group for media companies.
  • Can generate additional new features analyzing public demand.
  • Even an artist can choose the placement where he wants to promote his performance.
  • Depending on the popularity he/she can choose the devices, screen size and also OS to place his song or video.

6. Applications of Big Data in Tourism

The tourism business is mainly based upon the interest of an area toward the tourist group and how they present the most desired package of tours within public demands. Modern tourists are more likely to use digital world rather than agencies. Big data helps to gather the knowledge of tourists all around the world about places and people that can be enormously helpful for the tourist company.


Interpretation of the Application

  • Helps to gather the information of public demand by analyzing the data travelers provide on social media
  • Some of the devices can gather credit or debit card information for quick purchase and quick identification of the traveler.
  • Airlines can plan effectively by the data of passengers and their luggage throughout the journey and provide services accordingly.
  • Based on the information of Geo-location, traffic, and weather, travel agencies can send offers and benefits suitable for the particular customer.
  • Big data can help to provide security by using blockchain technology.

7. Big Data Applications in Healthcare

Just a few days ago, the role of big data in medical was not mentionable. But data science is dominating to improve healthcare nowadays. Data science not only introduced to identify treatment but also improved the process of rendering healthcare. Big data has a great impact on reducing waste of money and time. Alongside this, governments are using big data to develop new infrastructures and emergency medical services.


Interpretation of the Application

  • Enables shift managers to predict the required doctors at specific times and introduced EHR to keep track of patient’s records.
  • Using wearable digital devices, big data can monitor patients and send reports to the associated doctors.
  • Big data can evaluate symptoms and identify any many diseases at the early stages.
  • Can keep the sensitive records secured and store huge amount of data efficiently. Availability of medical database has also played a major role.
  • Diseases like AIDS and Cancer can cause life easily. Big data can save lives by analyzing the behavior and health condition of the patients.
  • Big data applications can also foretell the location where there is a chance of dengue or malaria spreading.

8. Big Data in Ecommerce

Ecommerce is one of the legit ways through which people can earn online. Basically small to large businesses compete with each other in the eCommerce industry. Ecommerce not only enjoy the benefits of operating online but also faces many challenges to achieve the business objectives. Big data in eCommerce can provide competitive advantages by providing insights and analytical reports.


Interpretation of the Application

  • Can collect data and customer requirements even before the official operation has started.
  • Creates a high performing marketing model and set a startup apart from the existing and become successful.
  • Ecommerce owners can identify the most viewed products and the pages that appeared the maximum number of time.
  • Evaluates customers behavior and suggests similar products. It increases the number of sales and generates revenue.
  • If any product is added to cart but was not ultimately bought by a customer, big data can automatically send a promotional offer to that particular customer.
  • Big data applications can generate a sorted report depending on the visitor’s age, gender, location, and so on.

9. Big Data in Disaster Management

Every year natural calamities like hurricane, floods, earthquakes cause huge damage and many lives. Scientists are not able to predict the possibility of disaster and take enough precautions by the governments. It is the main reason behind the enormous effect. Although the uses of big data in disaster management are not new, the recent development of AI, data mining and visualization are helping meteorologists to forecast weather conditions more accurately.

Interpretation of the Application

  • Can identify the potential disasters by evaluating temperature, water level, wind pressure, and other related factors.
  • Using big data, the government can take necessary actions to reduce the adverse effects of natural disasters.
  • Weather forecasters can analyze data collected from Satellite and Radar. They can examine the weather conditions every 12 hours.
  • Can identify the water level and possibility of flood in any specific area in a particular time of a year. Actions like excavations can be done before the flood attacks.
  • Even, earthquakes can be brought under the monitor of natural disaster management specialists, and they can warn people as well.
  • Clustering techniques, visualization, streamflow simulation, and association rules can generate highly accurate results now than linear regression analysis could do.

10. Big Data to Ensure National Security

Technology has shaped our lives and made better with its enormous possibilities. Big data is responsible for the success of these products. In many police forces, big data is used to improve their workflow and operations all around the world. Developed countries have implemented big data in their social and security activities a long ago, But underdeveloped countries have also started receiving the benefits of using big data already. 


Interpretation of the Application

  • The governments collect the information of all citizens, and this data is stored into a database for many purposes. 
  • Data science is implemented on these databases to extract meaningful information alongside a hidden relationship between datasets.
  • Can evaluate the density of the population in a specific location and identify the possible threatening situations even before anything has occurred. 
  • Security officers can use this dataset to find any criminal and detect fraudulent activities in any area of the country. 
  • Besides, related personnel can predict the potential outspread of any virus or diseases and take necessary actions to prevent.

11. Big Data in Agriculture

In agriculture, Big data is playing an influential role to enhance the performance of the firms. The goal is to minimize the firm’s loss and increase the generation of necessary food grains for the citizens of the nations. Data science has helped a lot to introduce digital and futuristic methods to the existing agricultural traditions. Uses of big data make us able to meet the required amount of yearly production and remove the necessity of importing goods as well. 


Interpretation of the Application

  • Using big data, the whole process from harvesting to distribution process of agricultural products like paddy, wheat, vegetables, and so on.
  • Can automate the watering system of the firm. Farmers can get enough time to concentrate on more important factors.
  • Big data can take data from the past years and can suggest the pesticides that work best under certain conditions.
  • Enables the firm’s owners to use the same land for several purposes and data science applications can generate production throughout the year without any interval.  
  • While smart technologies are collecting data directly from the fields, advanced algorithms and data science can drive fantastic decision-making abilities.

12. Big Data in Education

Education is the backbone of any nation. If education is not rendered in the most suitable way for every student, he/she will not perform well. And the responsibility of ensuring quality education completely depends on the government and educational organizations as well. Big data can generate unprecedented results and introduce innovative data-driven approaches for teaching students. In many countries, the uses of big data in schools and colleges are common. But developing countries are also acquiring new techniques as well.  


Interpretation of the Application

  • Can store, manage, analyze the large datasets that include students records. Maintaining security using big data is also quotable.
  • Big data can make sure if the question papers do not get leaked before the examinations.
  • It provides influential data on classroom activities and helps in taking decisions for the organizations.
  • Using high-resolution cameras, video footage and image processing, big data can evaluate student’s facial expression and can track their movements.
  • Motivates students by identifying problems and rendering the best possible education to the children. 

13. Big Data in Digital Marketing

Marketing trends for the business have completely changed. Digital marketing is the key to make any business successful. Now, not only the big companies can run marketing promotional activities but also the small entrepreneurs can run successful advertising campaigns on social media platforms and promote their products. Big data has made digital marketing really powerful, and it has become an essential part of any business.  


Interpretation of the Application

  • Analyzes market, competitors and evaluate the business goal. It can identify the opportunities as well.
  • Can find the existing social media users and target them based on demographics, gender, income, age, and interests.
  • Generates reports after every ad campaign that includes the performance, audience engagements, and what could be done for generating better results also.
  • Data science used for possible retargeting customers and transform into loyal clients.
  • Focuses on highly searched topics and advice the business owners to execute them on content strategy to rank business’s website higher on google. 
  • Can create lookalike audiences using the existing audience database to target similar clients and earn the profits. 

14. Big Data and Cloud Computation

Big data is improved by cloud computation. Usually, when the volume of a dataset is huge and is not manageable like the traditional databases, then we can call it big data. On the other hand, the cloud provides the required infrastructures for big data computation. In real life, many organizations are blending these two technologies for the betterment of their existing solutions. 


Interpretation of the Application

  • Cloud provides the necessary tools to extract the required data. Business’s key decisions and objectives are fixed by analyzing big data.
  •  Uses of big data successfully eliminate the requirements of handling vast data, sp organizations can get rid of the hassle of managing many software and hardware tools. 
  • Cloud computing has boosted the speed of managing and accessing the database that contains the terabytes of records. 
  • Managing big data includes the challenge of maintaining security, which is confirmed by cloud technologies. 
  • Data is stored in the cloud server, and data science techniques are injected to find relational information.

15. Big Data to Provide Customer Oriented Service

Customers are the most prominent assets for any business. If you can not satisfy your customers and understand their needs, then you will never be able to be the owner of a successful business. But if you are new and going to compete in an existing market, then it will be really hard for you to know what your customers are looking for. Big data find a solution for you and come up with the best result.

Interpretation of the Application

  • Identifies customer requirements, what they want and focuses on delivering the best service to accomplish their demand.
  • Analyzes customer’s behavior, interest and follows their trends to produce customer-oriented products.
  •  Introduces sustaining and efficiency innovation to deliver better products at lower costs. 
  • Can collect many influential data from the customers and use the insight while designing a marketing model for promotion. 
  • Finds the similarity between clients and their needs. So targeting based advertising campaigns can be conducted easily. 

16. Big Data Application in Government Sector

The government needs to handle various local, national and global complex issue daily. The application of big data can leave an enormous impact on this sector by collecting all the information about millions of people that helps to take any decision considering locals. It allows us to analyze the impact and opinion of any decision and to decide if any change is needed or not.

Interpretation of the Application

  • The government can access daily functional information considering particular indecent or topic.
  • Can help to identify the areas that need attention and analyze to improve the current situation.
  • Using big data, governments can easily reach to public demand and act accordingly.
  • Big data helps to monitor the decisions taken by the government and evaluate the results
  • Besides, can predict any terrorist attack and take necessary action to prevent unwanted conditions.

17. Big Data Application in Telecommunication

Telecommunication sector is one of the most popular user group of big data applications. With the increasing amount of data passing through different communication channels, it becomes important to collect this information to maximize profit and effective strategies for companies. It helps to visualize the transferred data that helps to make better management and customer satisfaction.


Interpretation of the Application

  • With the help of data visualizing technique defined by algorithms, telecommunication industries can detect fraud group who has illegal access and authorization and also fake profiles.
  • Predictive analytics helps to get customer feedback and data-driven decisions that help to identify customer preference.
  • The telecommunication companies can differentiate target audiences and add policies according to customer segmentation.
  • Can analyze the current network management and customer engagement rate.
  • By having information about the operation performance, they will get to know the area of improvement.
  • It helps to handle the complex process of product development.

18. Big Data Application in Retail Industry

The retail industry is leading from the front in a country’s economy. Big data gives an opportunity for this sector by the analysis of the competitive marketplace and customer interest. It helps to determine customer engagement and customer satisfaction by collecting multifarious data. It can improve the performance and efficiency through the critical analysis of the information collected by big data.

Interpretation of the Application

  • By using big data, the retail industry can improve customer intimacy and engagement by the information of customer’s spending patterns.
  • With the help of predictive analytics, the industry can compare the supply-demand ratio and can avoid products that are not accepted by most customers.
  • The retail industry can determine the stock range of a product according to the customer demand and set new business strategies for improvement.
  • To determine if the right product is available at the right time, transactional data, social media data, weather forecast helps to assure the updated condition of the current situation.

19. Big Data Application in Social Media Sector

Social media is one of the most popular digital media sectors at present world. The platform of social media marketing completely depends upon the application of big data. Although it is not permitted to use all type of information in social media, it is important for proper maintenance and user satisfaction.

Interpretation of the Application

  • Big data provide opportunities for digital marketers to reach their customer audience directly through social media with the help of AI.
  • The ability for keyword analysis makes it effective in the evaluation of changing ROI and social media campaign.
  • Big data can be used to have a better understanding of the user’s comfort and decision making.
  • It helps to analyze the preference, behavior and peak timing of a customer for staying relevant and competitive.

20. Big Data in the Airline Industry

The airline industry has the best utilization of big data as it provides them with a minute to minute operational data. It helps with the gathered information about customer service, ticketing, weather forecast, etc. A small airline can also react and take decisions for customer satisfaction and to meet demands with the help of big data.


Interpretation of the Application

  • Big data is used for the smarter maintenance of aircraft by comparing operating costs, fuel quantity, and costs, etc.
  • It helps to improve the safety security of flights by capturing flight incident data and can strengthen aviation chain links.
  • Can help to enhance customer service and customer’s buying habits by analyzing past information.
  • Helps to determine air traffic control, in-flight telemetry data information to have a comfortable flight.
  • Helps to check real-time baggage status so that the no customer’s baggage gets lost and suffers.

To conclude, we can understand the importance of big data applications in real life. Even though a few days ago, the enormous impact was not visible but now with the recent development of AI, advanced algorithms, data mining techniques, and Image processing are helping big data to become more useful than ever.