Very much.

Data analysis is the process of analyzing large amounts of data collected using appropriate statistical analysis methods, summarizing and understanding them, and digesting them in order to maximize the development of the data's functionality and usefulness.

Data analysis is the process of studying and summarizing data in detail in order to extract useful information and form conclusions.

The more small and medium-sized enterprises (SMEs) need to develop rapidly, the more indispensable data analysis.

Data, also known as observations, are the results of experiments, measurements, observations, surveys and so on.

The data dealt with in data analysis are categorized into qualitative data and quantitative data.

The Internet has given rise to the IT industry term big data, which refers to a collection of data that cannot be captured, managed, and processed within a certain timeframe using conventional software tools, and is a massive, high-growth, and diversified information asset that requires a new processing model to have stronger decision-making, insight discovery, and process optimization capabilities.

As an enterprise's information department, the financial department and marketing and production management departments are very much needed to provide accurate, comprehensive data and big data to enterprise decision makers; and enterprise decision makers must learn to analyze the data, from the analysis to find out the good measures to achieve results and find out the problems in the production and operation of the enterprise; and based on the enterprise's data and the enterprise's location and the province and even the national data comparison and analysis of enterprises in the same industry; in order to understand the enterprise's data and the enterprise's location and the province and even the country. Comparative analysis of enterprise data; in order to understand the level of enterprise development, find the crux of the problem, summarize the laws and trends of industry development; for the development, adjustment of enterprise policies and systems, for the adjustment of the enterprise's development strategy, updating the enterprise's development concepts; determining the enterprise's medium- and long-term development plan to lay the foundation; in order to ensure that the enterprise's healthy development.

90% of market and business decisions are determined through data analysis and research. Speaking with data and emphasizing quantitative analysis has gradually become a key consideration in the process of scientific research, business operation, and government decision-making. More and more people realize the importance of data analysis for economic development.

Data analysis has three roles:

1. It is the improvement and optimization of the business, including the improvement of the enterprise user experience aspects, and the allocation of the company's resources.

2. It is to help the business to find opportunities, mainly the process of using data to look for and discover blind spots in people's thinking, and then discover new business opportunities.

3. is to create new business value, mainly in the data value based on the formation of new business models, the data value directly into a money model or closer to the money process.