I. Medical: Improving diagnosis and treatment
Big Data provides solutions to improve the efficiency of medical information processing, thereby creating value for businesses, the public **** sector and citizens. Analysis of large clinical datasets 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 critical because data comes from diverse and heterogeneous sources such as biosignal streams, health records, genomics, and clinical laboratory tests.
II. Business: an intangible asset of the enterprise that fuels business decisions
Today, big data is so important that it can have a direct impact on the valuation of a business. Big data has become a key intangible asset for businesses that can be measured and factored into valuations through data collection. How a business uses the data and the decisions it makes based on it will also impact the success of its decisions.
III. Data: The Value of the Data Marketplace
In the past decade or so, information technology has directly or indirectly driven China's economic growth, and the role of data has shifted from simply supporting business decision-making to being a value in its own right. In the new networked economy, open data markets have become critical.
IV. Transportation: Reducing accidents and traffic jams
The transportation sector can collect a huge amount of data from road sensors. Intelligent use of this big data can support governments in optimizing traffic flow management. Citizens and companies can greatly save travel time by using route planning.
V. Environment: Reducing Energy Consumption
The big data revolution brings new ways to address environmental challenges. Better utilization of globally available datasets helps scientists to conduct research and enables policymakers to make informed decisions about natural disasters, such as flooding, to combat climate change and reduce costs. Smart cities also have data centers that adjust the power consumption of public **** buildings based on the availability of renewable energy and other useful indicators.
VI. Agriculture: safer food and higher productivity
Intelligent use of big data in agriculture can simultaneously increase productivity, food security and farmers' incomes. The way we farm today can be effectively improved through the intelligent and widespread use of sensors and Earth observation data. This includes the ability to utilize natural resources (including water or sunlight) more efficiently in our agricultural practices. With advanced technology, farmers also have access to real-time data on how their farm machinery is working, as well as historical weather patterns, terrain and crop performance.