First, medical care: improve the level of diagnosis and treatment.
Big data provides a solution to improve the efficiency of medical information processing, thus creating value for enterprises, the public sector and citizens. The analysis of large clinical data sets can optimize the clinical and cost-effectiveness of new drugs and treatments, and patients can benefit from more timely and appropriate care. Data interoperability is crucial because data come from different heterogeneous sources, such as biological signal streams, health records, genomics and clinical laboratory tests.
Second, enterprises: intangible assets of enterprises, which help enterprises make decisions.
Now big data is very important and can directly affect the valuation of enterprises. Big data has become a key intangible asset of enterprises, which can be measured by data collection and included in the valuation. How enterprises make use of data and make decisions based on data will also affect the success rate of enterprise decision-making
Third, data: the value of the data market
In recent ten years, information technology has directly or indirectly promoted China's economic growth, and the role of data has changed from simply supporting business decisions to its own value. In the new network economy, an open data market has become crucial.
Fourth, traffic: reduce accidents and traffic jams.
Traffic departments can collect a lot of data from road sensors. Intelligent use of these big data can support the government to optimize traffic flow management. Citizens and companies can greatly save travel time by using route planning.
Verb (abbreviation for verb) environment: reduce energy consumption
The big data revolution has brought new ways to deal with environmental challenges. Making better use of existing global data sets will help scientists to carry out research and enable decision makers to make informed decisions on natural disasters such as floods, so as to cope with climate change and reduce costs. Smart cities also have data centers to adjust the power consumption of public buildings according to the availability of renewable energy and other useful indicators.
Agriculture: safer food and higher productivity
Intelligent use of big data in agriculture can improve productivity, food security and farmers' income at the same time. Through the intelligent and extensive use of sensors and earth observation data, we can effectively improve our farming methods today. This includes using natural resources (including water and sunlight) more effectively in our agricultural practice. Through advanced technology, farmers can also get real-time data on how their agricultural machinery works, as well as historical weather patterns, topography and crop performance.