Data Management

A field of study that deals with the appropriate management of information as a resource that is significant to the operations of an organization or a corporation, data management covers different areas that can also be helpful in improving the productivity and efficiency of companies and institutions. Some of the areas covered in this study are data modeling, data warehousing, data movement, database administration as well as data mining. Aside from these, the framework of the study also includes data governance, data maintenance, data access and data erasure. To learn more about data management, let us look at the usage as well as the processes for a successful information management.


What is data management? Data management refers to the creation and implementation of policies, architectures, procedures as well as practices, which appropriately manage the entire information lifecycle demands of a particular enterprise. With this definition, the concept is very helpful in the storage, retrieval and proper use of data that are important to the operations as well as activities of private and public associations. The term is very broad because it encompasses different areas related to information technology like data security management and database management.


To ensure that the information needed is managed properly, there are some processes that data management teams should know. The initial step in a successful data management is to create a process model based on the needs and practices of a particular enterprise. The model should have four levels. In this model, the data should be ranked based on their importance to the enterprise. As soon as the process model was done, proceed with data migration and integration. Form a team that will be in-charged with the integration of information needed by the enterprise. Afterwards, purchase computer architecture that will be important to the maintenance of data.

The next process is data quality assurance and control. The team ensures the security of data in this stage. To do this, it is best to use computer software that will be helpful to secure private or confidential data. The final process in data management is data archiving. At this stage, the team classifies the data into various categories so it will be easy for computer users to identify and find the data that they need. Some of the categories that can be used when archiving information are legal operations, logistics, audit and inventory. Remember that the categories should be based on the operations that are important to an enterprise.