
In our previous discussion, I mentioned about the role of decisions in business, and the approaches in which decision-making process is accomplished. When we decide intuitively, we are supported by "gut feeling" and personal judgment. Deciding rationally, however, requires a more systematic, linear approach. We base our decision or decisions from a given information or data. Quantitative approach to decision-making is based on numerical information. Information is processed data. We can only produce information when we have data to process. The data become meaningful when it is processed, thus, becomes information. Information is insightful. Having accumulated information and knowing the relationships between and among information makes us knowledgeable.
Managers or decision-makers, nevertheless, use wisdom and not knowledge in deciding. When they apply what they know, that is the beginning of wisdom.
"Knowing but not doing is knowing nothing."
Consider this: we will not become wise persons if we are not knowledgeable. Knowledge is not gained if we lack information, and there will be no information if there is no data. Hence, data is vital much as information is very important.
Data ( plural of Latin word datum) are raw facts or figures. These are gathered through observations. And the characteristics of those being observed are called variables. Data are meaningless until processed. Data are inputs and information are outputs. There can be no accurate information when the inputs (data) are erroneous. Data to be useful must be accurate and timely.
Statistics is importantly about data.
