There are some areas where big data is making a difference. We have summarized below the big data applications in 10 areas where facilities are currently being concentrated and obtaining the best results.
- Understanding and segmenting customers:
The data is used to better understand customers, their behaviors and preferences. To get a complete picture of their client, companies are willing to expand traditional data centers with those of social networks, navigation logs, text analysis and sensor data. The main objective is in most cases to create predictive models.
- Understanding and optimizing business processes:
Big data is increasingly being used to optimize business processes in companies. In the retail sector, businesses are optimizing their stock based on predictions generated thanks to social network data, web search trends and weather forecasts.
A process that is being transformed particularly thanks to big data is that of the supply chain and the optimization of delivery routes. Human resources processes are also being improved thanks to big data analysis. From the detection and acquisition of talent, as in the Money ball movie , up to the measurement of business culture and staff involvement thanks to big data tools.
- Quantification and optimization of personal performance:
Big data is not only for companies and for public institutions or large organizations. We can all benefit from the data generated from wearable devices such as smart watches or bracelets. These devices automatically record data on calorie consumption, activity levels and fitness (Google Fit, Apple Watch), or sleep patterns. Although interesting information is already revealed at a particular level, the true value lies in analyzing the data set of the entire group.
Another example where people benefit from big data analysis is to look for a cupid. When it comes to finding the best compatible partner, doing so without the help of big data algorithms and techniques would be virtually impossible.
- Improving Public Health:
Another area of collective mass data use is the coding of genetic material. The more users involved, the more benefits are obtained, either to know more about our ancestors, which diet or food is most suitable for our geno type, or to discover how or why certain genes that can lead to chronic diseases are activated.
The processing capacity of big data analysis platforms allows us to decode entire chains of DNA in a matter of minutes and will allow us to find new treatments and better understand diseases, their triggers and propagation patterns. Think about what will happen when all the devices and sensors we carry on (and we will carry more and more) with markers on our body apply to millions of other people.
- Improving sports performance:
Most elite athletes are already adopting high-volume data analysis techniques. In tennis, it has been a long time using the Slam Tracker tool (based on IBM SPSS predictive analysis technology) in the most prestigious tournaments in the world (Wimbledon, Australian Open). The platform has recorded more than 8 years of Grand Slams data (about 41 million data points ) to determine patterns and styles of winning players.
Applying analysis to the video recordings of each soccer player and sensor technology in sports equipment such as balls or golf clubs, we can obtain feedback on the generated data and show the results to improve performance or to show an enriched view of the broadcast To the spectators.
- Improving Science and Research:
Scientific research is being transformed by the new possibilities offered by big data. Therefore, they distribute computing capacity among thousands of computers distributed among 150 other data centers worldwide to analyze the data. This distributed computing capacity that would otherwise be impossible to process is also used in many other areas of science.
- Optimizing the performance of machines and devices: According to Big data training institute in Bangalore, Big data analysis is helping machines and devices to be more intelligent and autonomous. An example that is already a reality, Google’s self-powered car.The cars they use for the project are equipped with cameras, GPS, internet connection, and a range of computers and sensors that allow the vehicle to travel safely on public roads without the need for human intervention.
Big data analysis tools are also used to optimize energy networks from smart meter data. We can also take advantage of these technologies to optimize the performance of servers and data warehouses.
- Improving security and law enforcement:
Big data analysis is being used intensively to improve security and law enforcement. The news leaked via Wikileaks that the NSA has been spying on all the communications of all citizens. The objective is the protection of terrorist attacks. Other uses of big data technology are found when it comes to detecting and preventing cyber attacks.
The AI system created at MIT predicts 85% of cyber attacks . Other examples: Police forces are beginning to use big data tools to find criminals and even prevent criminal activities. Another example that has been used for years is in the detection of fraudulent credit card transactions.
- Improving and optimizing cities:
Big data is also being used to improve aspects of our cities and countries. The technology allows to optimize traffic flows based on data that arrives in real time from traffic, social networks and weather. A growing number of cities are embarked on Smart Cities projects, where transport infrastructure and supply processes work collaboratively.
Some examples: a bus waits to exit automatically due to the delay of an airplane, traffic signals and traffic lights act automatically to minimize traffic jams.
- Financial trading:
The last area of examples of use of Big Data that we are going to review, although not of smaller volume or importance is that of the application of big data in capital markets. The activities related to High-Frequency Trading is where there is the greatest use of big data.
A series of algorithms to make decisions on the sale of securities per million in fractions of a second, taking into account in addition to the traditional signals that human traders take into account such as technical analysis, behaviors of raw materials, results of companies, Real-time news, social media messages, forums, public statements of personalities, etc are added. In other words, a new type of data (structured and unstructured) that before the big data was impossible to handle.
This has been a summary of 10 areas where big data is being used more today. Obviously there are many more areas and applications, can you think of a situation where you are taking advantage? Do you agree with this data revolution? Please share your point of view and leave your comment below.
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