Applications of Big Data

The term Big Data is referred to as large amount of complex and unprocessed data. Now a day's companies use Big Data to make business more informative and allows to take business decisions by enabling data scientists, analytical modelers and other professionals to analyse large volume of transactional data. Big data is the valuable and powerful fuel that drives large IT industries of the 21st century. Big data is a spreading technology used in each business sector. In this section, we will discuss application of Big Data.

Travel and Tourism

Travel and tourism are the users of Big Data. It enables us to forecast travel facilities requirements at multiple locations, improve business through dynamic pricing, and many more.

Financial and banking sector

The financial and banking sectors use big data technology extensively. Big data analytics help banks and customer behaviour on the basis of investment patterns, shopping trends, motivation to invest, and inputs that are obtained from personal or financial backgrounds.

Healthcare

Big data has started making a massive difference in the healthcare sector, with the help of predictive analytics, medical professionals, and health care personnel. It can produce personalized healthcare and solo patients also.

Telecommunication and media

Telecommunications and the multimedia sector are the main users of Big Data. There are zettabytes to be generated every day and handling large-scale data that require big data technologies.

Government and Military

The government and military also used technology at high rates. We see the figures that the government makes on the record. In the military, a fighter plane requires to process petabytes of data.

Government agencies use Big Data and run many agencies, managing utilities, dealing with traffic jams, and the effect of crime like hacking and online fraud.

Aadhar Card: The government has a record of 1.21 billion citizens. This vast data is analyzed and store to find things like the number of youth in the country. Some schemes are built to target the maximum population. Big data cannot store in a traditional database, so it stores and analyze data by using the Big Data Analytics tools.

E-commerce

E-commerce is also an application of Big data. It maintains relationships with customers that is essential for the e-commerce industry. E-commerce websites have many marketing ideas to retail merchandise customers, manage transactions, and implement better strategies of innovative ideas to improve businesses with Big data.

• Amazon: Amazon is a tremendous e-commerce website dealing with lots of traffic daily. But, when there is a pre-announced sale on Amazon, traffic increase rapidly that may crash the website. So, to handle this type of traffic and data, it uses Big Data. Big Data help in organizing and analyzing the data for far use.

Social Media

Social Media is the largest data generator. The statistics have shown that around 500+ terabytes of fresh data generated from social media daily, particularly on Facebook. The data mainly contains videos, photos, message exchanges, etc. A single activity on the social media site generates many stored data and gets processed when required. The data stored is in terabytes (TB); it takes a lot of time for processing. Big Data is a solution to the problem.

1. Tracking Customer Spending Habit, Shopping Behavior: In big retails store (like Amazon, Walmart, Big Bazar etc.) management team has to keep data of customer’s spending habit (in which product customer spent, in which brand they wish to spent, how frequently they spent), shopping behavior, customer’s most liked product (so that they can keep those products in the store). Which product is being searched/sold most, based on that data, production/collection rate of that product get fixed. 

Banking sector uses their customer’s spending behavior-related data so that they can provide the offer to a particular customer to buy his particular liked product by using bank’s credit or debit card with discount or cashback. By this way, they can send the right offer to the right person at the right time. 

2. Recommendation: By tracking customer spending habit, shopping behavior, Big retails store provide a recommendation to the customer. E-commerce site like Amazon, Walmart, Flipkart does product recommendation. They track what product a customer is searching, based on that data they recommend that type of product to that customer. 

As an example, suppose any customer searched bed cover on Amazon. So, Amazon got data that customer may be interested to buy bed cover. Next time when that customer will go to any google page, advertisement of various bed covers will be seen. Thus, advertisement of the right product to the right customer can be sent. 

YouTube also shows recommend video based on user’s previous liked, watched video type. Based on the content of a video, the user is watching, relevant advertisement is shown during video running. As an example suppose someone watching a tutorial video of Big data, then advertisement of some other big data course will be shown during that video. 

3. Smart Traffic System: Data about the condition of the traffic of different road, collected through camera kept beside the road, at entry and exit point of the city, GPS device placed in the vehicle (Ola, Uber cab, etc.). All such data are analyzed and jam-free or less jam way, less time taking ways are recommended. Such a way smart traffic system can be built in the city by Big data analysis. One more profit is fuel consumption can be reduced. 

4. Secure Air Traffic System: At various places of flight (like propeller etc) sensors present. These sensors capture data like the speed of flight, moisture, temperature, other environmental condition. Based on such data analysis, an environmental parameter within flight are set up and varied. 

By analyzing flight’s machine-generated data, it can be estimated how long the machine can operate flawlessly when it to be replaced/repaired. 

5. Auto Driving Car: Big data analysis helps drive a car without human interpretation. In the various spot of car camera, a sensor placed, that gather data like the size of the surrounding car, obstacle, distance from those, etc. These data are being analyzed, then various calculation like how many angles to rotate, what should be speed, when to stop, etc carried out. These calculations help to take action automatically. 

6. Virtual Personal Assistant Tool: Big data analysis helps virtual personal assistant tool (like Siri in Apple Device, Cortana in Windows, Google Assistant in Android) to provide the answer of the various question asked by users. This tool tracks the location of the user, their local time, season, other data related to question asked, etc. Analyzing all such data, it provides an answer. 

As an example, suppose one user asks “Do I need to take Umbrella?”, the tool collects data like location of the user, season and weather condition at that location, then analyze these data to conclude if there is a chance of raining, then provide the answer. 

7. IoT:

• Manufacturing company install IOT sensor into machines to collect operational data. Analyzing such data, it can be predicted how long machine will work without any problem when it requires repairing so that company can take action before the situation when machine facing a lot of issues or gets totally down. Thus, the cost to replace the whole machine can be saved.
• In the Healthcare field, Big data is providing a significant contribution. Using big data tool, data regarding patient experience is collected and is used by doctors to give better treatment. IoT device can sense a symptom of probable coming disease in the human body and prevent it from giving advance treatment. IoT Sensor placed near-patient, new-born baby constantly keeps track of various health condition like heart bit rate, blood presser, etc. Whenever any parameter crosses the safe limit, an alarm sent to a doctor, so that they can take step remotely very soon.

8. Education Sector: Online educational course conducting organization utilize big data to search candidate, interested in that course. If someone searches for YouTube tutorial video on a subject, then online or offline course provider organization on that subject send ad online to that person about their course. 

9. Energy Sector: Smart electric meter read consumed power every 15 minutes and sends this read data to the server, where data analyzed and it can be estimated what is the time in a day when the power load is less throughout the city. By this system manufacturing unit or housekeeper are suggested the time when they should drive their heavy machine in the night time when power load less to enjoy less electricity bill. 

10. Media and Entertainment Sector: Media and entertainment service providing company like Netflix, Amazon Prime, Spotify do analysis on data collected from their users. Data like what type of video, music users are watching, listening most, how long users are spending on site, etc are collected and analyzed to set the next business strategy.