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Contemporary Applications of Big Data in Business

 There are many ways in which big data applications affect people especially businesses everyday such as:

Transportation - Big data powers things such as GPS on smartphones which helps people get from one location to the next in the easiest and quickest way possible, the GPS data is also for images and government agencies. Additionally airplanes generate data for long flights such as seeing the weather and also figuring out how much fuel is needed to get from point a to b while saving energy and being as safe as possible. Additionally traffic control, managing and sorting congestion, traffic safety and lastly route planning to save fuel, money and time. 

Advertising and marketing - this also links to media and entertainment where they create ads that focus towards people and their own interests such as if someone’s trying to watch a movie on Netflix for example and they are known to enjoy action movies then the data will give them more action movies to watch rather than just recommending other genres such as comedy or romance. Other companies do this such as Amazon to show you things related to what you’ve previously bought. 

Banking and financial services - big data is useful because it can sense any fraud detection and flag up any unusual purchases which is unusual compared to other transactions they may have made. It helps with risk assessment so it can monitor and report on different processes and additionally any employee activities, it’s used to try help customers be better with their finances by finding things to cut out and save on also pushing any savings account they have and lastly banks use big data to show how different customers have different lives, likes and goals which can be used for ads or to try market certain products to certain people.

Government - some agencies that use big data are the FBI, SEC, IRS, Social Security administration, FDA which uses it across labs to investigate patterns of food poisoning, salmonella or other food related illnesses and federal housing etc. Additionally military agency’s use it to see the insights for things such as domestic intelligence, foreign surveillance and cybersecurity.

Media and entertainment - Seeing what types of music or videos that someone enjoys watching and showing them things that are related that they may enjoy. Such as  companies that do this are Amazon prime and Spotify which shows you other songs a certain artist has also released and also other songs/artists that you may enjoy based on other people that also enjoy the same artists or songs. 

Meteorology - weather satellites and sensors all over the world collect data to track the environment and its conditions and also to see change. Meteorologists use it to track natural disasters and their patterns, weather forecasts, understand the impact of global warning, predict available drinking water in a number of regions and lastly provide early warnings for things such as hurricanes and tsunamis so people can evacuate for example recently in Florida with the hurricane being able to see where it would hit next and what parts should evacuate. 

Healthcare - Big data’s used to predict epidemic outbreaks, catch early symptoms to be able go avoid diseases, electronic health records so doctors can see any procedures or diseases etc you have had and also see what you’re allergic to so to not administer you any of that particular drug or food, real time alerting, predictions if serious medical conditions, decreased time spent on research, enhanced analysis of medical images and lastly telemedicine. 

Cybersecurity - Big data can help to reduce, prevent and counteract online crime. It can also be used to create more effective threat management, shows businesses when changes to their normal patterns occur so that they can action can be taken. After a business has suffered a data theft then post attack analysis can be used to figure out the weak spots and to devise safeguards to ensure that it can’t happen again in the future. 

Education - big data’s used to change and customise curriculum to the individual needs of students e.g. online learning, on site classes, independent study etc, it helps to reduce dropout rates to see where people will go once they’ve graduated such as jobs, further education; university, college. It also helps to improve individual students outcomes to learn their individual styles, behaviours to create an optimal learning environment and lastly to predict a students success by using targets so they can pinpoint the students academic goal. 


https://www.mongodb.com/resources/basics/big-data-explained/examples

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