To solve this question, the user needs to have an understanding of data analysis. The user must be able to identify the process of examining data for statistics and information about the data.
Option A: Data profiling involves the process of examining the data to understand its content, structure, and relationships. It is used to understand the quality of the data to ensure that it is accurate, complete, and consistent. This option best characterizes the process of examining data for statistics and information about the data.
Option B: Data cleansing involves the process of identifying and correcting or removing errors, inconsistencies, and redundancies in the data. While data cleansing is an important part of data analysis, it does not best characterize the process of examining data for statistics and information about the data.
Option C: Business intelligence search involves the use of data mining and analytical tools to analyze business data and provide insights into trends and patterns. While this is an important aspect of data analysis, it is not the best term to characterize the process of examining data for statistics and information about the data.
Option D: Data governance involves the management of the availability, usability, integrity, and security of the data used in an organization. While data governance is important for ensuring the quality of the data, it does not best characterize the process of examining data for statistics and information about the data.
The Answer is: A. Data profiling.