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Primary data or main data is one type of data obtained directly by the company through direct observation or going into the field. Primary data has a more accurate nature because it is obtained directly from the source. An example of primary data is the results of consumer interviews.

- Secondary data
In addition to primary data, there is also secondary data which is a collection of data from previous studies. This data is collected collectively by the company from time to time and does not go through a direct observation process or comes from existing documentation. An example of secondary data is the company's audit report from year to year.

- Qualitative data
One type of data whose term is familiar to the general list of anhui cell phone numbers public is qualitative data. Qualitative data is often found in research, but it is also often found in company data sources. The form of presentation and writing of qualitative data is the arrangement of sentences in reporting. One of the most common examples of qualitative data is the answers to questionnaires given by customers when a company conducts research or surveys on matters related to the company within a certain time frame. Qualitative data is closely related to the categorization and nature of the object variables being studied.

- Quantitative data
The next type of data that is often found as a basis for analyzing company progress is quantitative data. Quantitative data is presented in the form of numbers, statistics, graphs, and can be calculated well. Well, examples of quantitative data are the number of company employees, a person's age, the amount of employee salary, and others.

In compiling data, companies should only take important and necessary things or data. Do not let the data collection process be carried out in an unstructured and unmeasured manner, which can then result in inaccuracy in the final results. Data collection must also be based on objectivity and must not be biased.

Another important thing in compiling data is to distinguish between information and personal opinions of correspondents, especially if the data is taken from the interview/questionnaire process. Mistakes in distinguishing between the two can result in information bias.

So, after you know what data is and its types, the next question that arises is what should be done with the data?

Data will be crucial information for the progress of the company if processed correctly. Before learning about how to process it, let's discuss information first.