Answer:
Mary has increased her data literacy skills that now allow her to access, interpret, summarize, and communicate data more effectively.
Explanation:
Data analysis is the process by which data is transformed in such a way that useful information can be extracted from it. Data analysis is a key skill that is needed in most business nowadays, for example; financial data can be very crucial in the planning, budgeting and execution of projects. The process of data analysis has been automated to take raw data and produce a result that can be readily consumed easily by humans in the form of charts and graphs. From this end result, conclusions can be drawn by data experts on what the results mean.
Experts in data analysis are therefor needed to adequately access, interpret, summarize and communicate data more effectively. These are skills that need to be learned for better overall quality of the data presentation. In general, the principals are referred to as data literacy skills. Data literacy can be defined as the ability of an individual to extract useful information from raw data.
Explanation:
Employee motivation is not directly related to the conditions of their work and personal life. There are many studies and researches that seek to understand how the employee is motivated, one of the most accepted and used is the Maslow pyramid, which categorizes each human need in the form of a pyramid of needs, according to him, there are five needs that individuals need to fulfill to be motivated and satisfied in their personal and professional life, they are the physiological needs being the base of the pyramid and the most essential, followed by needs for security, affection, esteem and self-fulfillment.
Therefore, this theory of Maslow's needs is a parameter to understand how the human being remains motivated, and to help organizations to align their processes to fulfill each employee's need for fulfillment, seeking an organizational environment focused on safety, ethics, innovation, benefits monetary, etc.