Author: Zen and the Art of Computer Programming
1 Introduction
With the continuous popularization and popularity of new technologies such as informatization, the Internet, and mobile Internet, many scenes in people's lives will undergo earth-shaking changes. Whether it is business, finance, transportation, education, or medical care, a large amount of data is required for analysis, decision-making, and product development. How to make organizational operations more scientific, precise, and efficient through data-driven management has become one of the core capabilities of enterprises. Only by fully understanding the impact of data intelligence on enterprise development can we effectively improve the management level and ensure the sustainable development of the company. Therefore, the book "The Way of Enterprise Digital Transformation - The Road to Enterprise Data Intelligence" will explain from the following aspects how enterprises implement data intelligence, improve management efficiency, and create an efficient, scientific, and sustainable organization.
2. Explanation of basic concepts and terms
data collection
Data collection refers to collecting various data resources and converting them into forms that can be analyzed and processed.
data cleaning
Data cleaning (Data Cleaning) refers to the quality inspection of the collected raw data, repairing abnormal values, missing values, invalid values and other problems.
data conversion
Data Transformation refers to the reasonable transformation of the cleaned data to make it suitable for the input of the machine learning model.
data analysis
Data Analysis refers to the discovery of regularity, connection and hidden information from cleaned and transformed data. Through data analysis, important business problems, needs, patterns, and business values can be discovered, as well as the predictive ability, robustness, and generalization ability of machine learning models.
data mining
Data Mining refers to the use of data