Data Management Strategy Example

Data management strategy example can help you understand the matters of data management better. The dynamics flow of information has a big influence on the distribution of data needed for the management of the company. Fortunately, all things related to data are much easier to do today because they can submit and manage digitally or online.

Data input is an important part in data management. Given the importance of data management, here are some examples on data management strategy

Definition of Data Management

Data management is a form of information resource management activities which include, first, the process of collecting data and recording it into a functioning document as input for the system. Second, the process of storing resources information into a document file. Third, process maintenance addition of new data and changes to existing data so that resources information is kept up to date. Fourth, organize the process of compiling data in such a way as to meet the information needs of users. In this context, data management is carried out from the three processes management.

Types of Data

Before you understand the data management strategy example, it is important to thoroughly understand the types of data.

Data is a record of a collection of facts. Data is the plural form of datum, derived from the Latin meaning “something given”. In everyday use, data means a statement that is accepted as it is. This statement is the result of measuring or observing a variable whose form can be in the form of numbers, words, or images.

In science (scientific), facts are collected to become data. The data is then processed so that it can be stated clearly and precisely that it can be understood by others who have not directly experienced it themselves. That is called a description. Sorting a lot of data according to the similarities or differences they contain is called classification.

In the subject of managements, data is characterized as something raw and has no context. Data simply exists and has no significance outside of his being. Data can appear in various forms, regardless of whether it can be taken advantage of or not.

Data can also be referred to as follows:

Data are facts in the form of numbers, characters, symbols, pictures, signs, cues, writings, sounds, sounds that represent the actual situation which is then used as input for an Information System.

Data is a description of things and events that we face

Data is a fact that describes an event and a real entity

Data is material to be processed/processed in the form of numbers, letters, symbols, words that will show the situation and others that stand alone

It’s always best to understand data when you are trying to master data management strategy example. The types of data can be divided based on their nature, source, method of obtaining it, and time of collection. According to its nature, the types of data are:

Qualitative Data: data that is not in the form of numbers, for example: Questionnaire Questions about the work atmosphere, quality of service of a hospital or leadership style, etc.

Quantitative Data: data in the form of numbers, for example: stock prices, income, etc.

The types of data according to the source:

Internal Data: data from within an organization that describes the state of the organization. For example: a company, the number of employees, the amount of capital, or the amount of production, etc.

External Data: data from outside an organization that can describe the factors that may affect the work of an organization. For example: people’s purchasing power affects the sales of a company.

The types of data according to the method of obtaining it:

Primary data (primary data): data collected by an individual/organization directly from the object under study and for the benefit of the study concerned which can be in the form of interviews, observations.

Secondary data (secondary data): data obtained/collected and put together by previous studies or published by various other agencies. Usually, indirect sources are in the form of official documentation and archives.

The types of data according to the time of collection:

Cross section data, namely data collected at a certain time (at a point of time) to describe the conditions and activities at that time. For example; research data using a questionnaire.

Periodic data (time series data), namely data collected from time to time to see the development of an event/activity during that period. For example, the development of the money supply, the prices of 9 kinds of staple goods for the population.