big data
The discovery of the value of big data is closely related to its application scenarios. To sum up, big data value discovery can be divided into three categories: data service, data analysis and data exploration.
Data service is a form of providing high-performance data query, retrieval, prediction and other services for large-scale users, and realizing data value by directly meeting users' needs; Data analysis is an operation form in which analysts use a specific calculation model for large-scale data to find data patterns or laws that people can easily understand and realize data value by experience. Data exploration is a combination of data analysis and human-computer interaction. By constantly revealing the laws of data and the correlation between data, analysts are guided to discover and understand unknown data patterns or laws, and its value is more reflected in the exploration of unknown data patterns and laws.
Big data public service
Data analysis refers to the process of analyzing or modeling a large number of data with appropriate statistical analysis methods, extracting useful information and forming conclusions, and then assisting people in making decisions. In this process, users will have a clear goal and gain insight into the data through a series of complex operations such as "data cleaning, conversion, modeling and statistics", thus assisting users in making decisions. Common data analysis tasks can be further divided into descriptive analysis, diagnostic analysis, predictive analysis and strategic analysis.
data analysis
Data exploration is a variable, continuous and multi-angle search or analysis task for the target, and its search process is selective, strategic and repetitive. It will transform the traditional information retrieval mode with the purpose of finding information into an information search mode with the purpose of discovery, learning and decision-making. This search mode combines a lot of data analysis and human-computer interaction, which is suitable for people to discover and learn more content and value from data.
Data exploration
Big data contains great value, and data service, data analysis and data exploration are three levels of data value discovery methods. In many applications, these three methods need to be mixed to better discover the value of big data.
In the information age, data, like other factors such as capital, labor and raw materials, has become an important factor of production, and as a universal demand, it is no longer limited to the application of some special industries. Companies from all walks of life are collecting and using a large number of data analysis results to reduce costs, improve product quality, improve production efficiency and create new products as much as possible. For example, analyzing the data collected directly from the product testing site can help enterprises improve their design. In addition, a company can surpass its competitors through in-depth analysis of customer behavior and comparison of a large number of market data.
Big data plays an important role in all walks of life today. In this information age, unless something new is born to replace the role of big data, it will still be a fire.