What are the applications of big data in daily life?

How is big data used in life? Here's a quick example. On the eve of Douyin's e-commerce Double 11, the data of Toutiao and Toutiao were connected, and Toutiao's behavior became big data for monetization.

After cleaning, filtering, and comparing the data, each user will have a clear portrait, so that Douyin e-commerce can recommend more suitable and more promotable products for this user. For example, we want to go shopping ** to buy a cosmetics, you have seen a lot of stores have not bought the right one, did not buy, the next time you enter this shopping platform, its homepage will recommend you a lot of products you searched for last time, the big data background has known your preferences, and will recommend the same or the same type of goods you may be interested in according to your preferences. You may say that big data has made e-commerce leek cutting more accurate, but from a different perspective, it is also easier for users to make choices.

Network logs, sensor networks, social networks, social data, Internet style and documents, call detail records, astronomy, medical records, and big data analysis of individual players on the playing field in basketball games.

By collecting energy consumption data from ordinary households, big data technology gives people practical energy-saving reminders; Through the collection and processing of urban traffic data, big data technology can realize the optimization of urban transportation. These are the applications of big data in life.

Big data refers to the collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing modes to have stronger decision-making, insight and process optimization capabilities.

The value of big data is reflected in the following aspects:

1. Enterprises that provide products or services to a large number of consumers can use big data for precision marketing.

2. Small and medium-sized enterprises with a small and beautiful model can use big data to do service transformation.

3. Traditional enterprises that must transform under the pressure of the Internet need to keep pace with the times and make full use of the value of big data.

1.Understand and target customers

This is currently the most well-known application area of big data. Many enterprises are keen on various data sets such as social data, browser logs, text mining, etc., and create ** models through big data technology to better understand customers and their behaviors and preferences.

2.Understand and optimize business processes

Big data is also increasingly being used to optimize business processes, such as chain or distribution route optimization. Locate and identify systems to track goods or transport vehicles and optimize transport routes based on real-time traffic data.

3.Provide personalized service

Big data applies not only to companies and**, but also to each of us, such as benefiting from data collected by wearable devices such as smartwatches or smart bracelets. Jawbone's smart bracelet can analyze people's calorie consumption, activity level, sleep quality, etc. Jawbone has been able to collect 60 years of sleep data and analyze some unique insights for each user.

Also benefiting from this is the online platform "Find True Love", where most dating companies use big data analysis tools and algorithms to match users with the most suitable match.

4.Improve health care and public health

The ability of big data analytics to decode entire DNA sequences in minutes helps us find new ways to better understand and disease patterns. Just imagine, when data from all wearable devices, such as smartwatches, can be applied to millions of people and their various diseases, the future of clinical trials will no longer be limited to small samples, but include everyone.

5.Improve sports skills

1. E-commerce industry.

The e-commerce industry is the first industry to use big data for precision marketing, which can produce materials and logistics management in advance according to consumer habits, which is conducive to the refined production of a better society. With the increasing concentration of e-commerce, the amount of big data in the industry has become larger and more diverse. In the future development, big data has most imagination in e-commerce, which mainly includes the best trends, consumption trends, regional consumption characteristics, customer consumption habits, consumer behavior, consumption hotspots and important factors affecting consumption.

Second, the financial industry.

The use of big data in the financial industry is very widespread, mainly in the transaction process. TOP domain found that many equity transactions are now carried out using big data algorithms. These algorithms are able to take social and news into account more and more, and decide whether to buy or choose to buy in the next few seconds.

3. Biotechnology.

Gene technology is an important part of humanity's future challenge to disease**. Scientists can take advantage of the application of big data technology, which can accelerate the research process of their own genes and other animal genes, and can also be one of the most important for humans to overcome diseases in the future**. Technology can not only improve crops, but also use genetic technology to cultivate human organs, destroy bacteria, etc.

Big data in daily life mainly includes the following aspects:

1.Social data: including user information, interaction data, topic popularity, advertising data, etc. on various social platforms.

2.E-commerce data: including product information, sales data, user behavior data, user evaluation data, etc. on various e-commerce platforms.

3.Health data: including physical indicators, exercise data, sleep data, diet data, etc. on various health tracking devices.

4.Financial data: including user data, transaction data, investment data, market data, etc. of various financial institutions.

5.Internet of Vehicles data: including vehicle information, driving behavior data, traffic condition data, etc. on various Internet of Vehicles devices.

6.Weather data: including meteorological data, meteorological data, disaster warning data on various weather stations and meteorological satellites, meteorological data, disaster warning data, etc.

7.Public transport data: including passenger data, operation data, station data, etc. on various public transport modes.

8.Education data: including student data, teacher data, course data, grade data, etc. of various educational institutions.

In short, big data in daily life covers a variety of fields and industries, and through the collection, analysis and application of these data and key burning data, it can help people better understand the skin and solve various problems and challenges in real life.