9 Big Data Applications
As the use of Big Data is increasing, the industry application is getting lower and lower. Very often, we will see some very innovative use of big data in improving our daily lives in many ways. How do we make use of Big Data in order to extract valuable insights from it and use it to or advantage? We will examine the 9 Big Data applications that are known to us today:
1, Big Data is improving our lives
Big data is not just about businesses and governments, but also for individual like us. The wearable devices that we use capture a lot of good data about our daily lives, which can help monitor our health, lifestyle, activity, sleep pattern and quality, emotion and state of mind, and these data can be used to suggest improvement for us to live better. These data can even be used in finding our compatible partners in dating websites.
2, Business Process Optimisation
Big Data also helps to optimise business processes. This can be achieved through the use of social media data, web search and weather forecast to dig out valuable data, which is the most widely used in optimising the Big Data supply chain and distribution channels. In both of these areas, geolocation and wireless tracking of goods and delivery vehicles, using real-time traffic route data to develop a more optimised distribution / delivery network
3, Understand the customers and their needs
Currently Big Data is most widely used in this area. The focus is on how to use Big Data to better understand the customers, their interests and behaviour. Companies are very keen in collecting social data, browser logs, analysing text and sensor data, in order to better understand the customer. In most cases, data modellings are developed to perform predictive analysis. For example, the famous US retailer Target, through Big Data analysis, get valuable information to accurately to predict when customers want to have children. In addition, through the application of Big Data, telecommunication companies can better predict the reason for losing customers, Wal-Mart is more accurate in predicting when and what products will be selling well, the car insurance industry can better understand the needs of customers and driving skill, the Government can better understand voters preferences.
4, Improve Sports Performance
Today, many athletes under training are using Big Data technology to analyse their performances for corrective measures, Such as the IBM SlamTracker tool for tennis matches. We also use video analytics to study the performance of each player in a soccer or baseball game, and sensor technology in sports equipment (such as basketball or golf club) allows us to obtain data on the game for future improvements. Many elite sports teams also track the activities of athletes outside their sports lives - by using smart technology to track their nutritional level and sleep quality, as well as social dialogue to monitor their emotional status.
5, Improve Medical Research and Development
The computational power of Big Data analysis applications allows us to decode the entire DNA in a matter of minutes and enable us to develop the most effective treatment program. It also allows us to better understand and predict diseases. Big Data technology has been used in hospitals to monitor the condition of preterm and unwell babies. Through recording and analysing the babies heartbeat and other data, the doctor can predict when and where babies will feel discomfort and provide early treatment to ensure safe delivvery of babies.
6, Financial Transactions
Big Data in the financial sector mainly applies to financial transactions. For example, High Frequency Trading (HFT) is an area where Big Data algorithms are used in conjunction with social media interactions and website news feed to reach transactional decisions in executing a buy or sell decisions in near real time.
7, Improve Our City
Big data is also being used to improve the quality of our daily life in the city. This can be in the form of safer and smoother traffic condition for road users due to optimised operation of traffic lights based on analysis of real-time traffic data, social media interactions, and weather data.
8, Improve Security and Law Enforcement
Big Data is now widely used in the process of security enforcement. We all know that the US Security Agency uses Big Data to predict possible terrorist attacks, and even monitors the daily lives of people with suspicious bahaviour and activity. companies use Big Data technology to defend against network attacks. Police use Big Data tools to help arrest criminals. Credit card companies to use Big Data tools to predict and alert possible fraudulent transactions.
9, Optimise the Performance of Machine and Equipment
Big Data analysis can also make machinery and equipment to be self learning and operating more intelligently and autonomously. For example, Big Data tools have been used by Google to develop its driverless car. Toyota's Prius hybrid car is equipped with a smart camera, GPS and sensors to make the car to be able to drive more safely with minimal human intervention.
Big Data applications do not just stop here. The fact is that - how we can make meaningful use of Big Data is only limited by our own imagination and creativity. Otherwise, be prepared to see more innovative Big Data applications.