What is the data analyst?

Data Analytics refers to the process of reviewing a large number of unprocessed or unorganized data for formulating data conclusions. It is often used in business to create action plans or to identify formulas and trends in business and help companies better understand customer behavior. Economists and academic experts are also used in many fields to help formulate, support or refute theories.

In many situations, a large amount of data is collected. For example, economists can receive thousands of survey responses or can view the infinite amount of government and census on huge segments of the population. Other academics can also receive numerous large bodies of unorganized information; For example, a scientist studying a potential cancer medicine can get hundreds or even thousands or millions of patients. In business, data can also be collected in the form of sales data, customer revenue, transac or other types of information.

all thisData provides information and probably contains formulas and trends that can help form and control behavior. However, the data must be organized, analyzed and understood for the use of information. Data analysts refers to the process of organization and analyzes of all this data.

Just as there are many different types and data sources, there are many different analytics methods. Some data must be organized manually and manually coded. Other large databases of information can be begged using specialized computer programs that make it easier and a simple data analysis process.

The process and procedure of data analysis depend not only on how the data is organized, but also on what one is looking for. For example, an economist can view data and find patterns of purchase or expenditure that explain behavior. Apodnikání can view data and identify weaknesses in the customer's supply chain or problems with the givenby an employee.

Every business generally develops its own data analysis methods that allow it to solve the problems that the company has. For example, a health insurance company may have a paid database of millions of claims. Employees responsible for data analysis would be responsible for generating and running algorithms to detect potential abnormalities. Therefore, a computer program and algorithms could be launched to identify areas in which false claims could be paid to be explored.