Author: Zen and the Art of Computer Programming
The term "sharing economy" has long entered the field of vision of our lives and has become one of the hot topics of various social issues. As a relatively new concept, the current "sharing economy" is mainly reflected in the fact that people provide goods or services to individuals, groups or enterprises through online platforms, and the platform shares the benefits obtained from their interests. Behind this is not only the value exchange at the material level, but also the "co-creation" at the spiritual level. With the development and growth of the sharing economy, more and more people are beginning to care about this emerging market, how to better allocate resources, improve efficiency and effectiveness, how to regulate through data-driven strategies, and how to use data insights Many aspects such as promoting the development of the organization have become difficult problems. Then, how to collect, analyze and mine data from multiple dimensions and establish a comprehensive data platform covering the entire industrial chain is an unresolved problem. In order to break through this difficulty, the national authorities have gradually opened up the sharing and application of sharing economic data in recent years, prompting more data practitioners to pay attention to such data and put forward some related demands.
As a technical expert in the industry, when faced with such complex requirements, I think it is necessary to explain the general process of sharing economic data analysis and mining. The author of this article hopes to use the author's experience and knowledge to provide readers with some references to help them correctly understand the data analysis process in the "sharing economy", so that they can use data more effectively for management and decision-making in the field of "sharing economy" . In addition, I also hope to use the author's ideas to explore whether the current data analysis tools and methods can really solve the current "sharing economy" challenges, or at least become a new research topic.
2. Explanation of basic concepts and terms
First, we need to clarify several basic concepts and terms.
Data: Data refers to the information produced, recorded and disseminated within a certain range according to certain rules. Data can be used to support many application scenarios, including business behavior, financial analysis, education and training, government management, health care, etc.
Data platform: A data platform refers to a collection of tools and services such as data processing, storage, query, analysis, reporting, and visualization.