Data management may refer to the aspects of drawing plans and culture of collecting and keeping the data.Different people may be used who may use different methods in storing or mining the data.They may not only consist of persons but also database systems that are used by administrators and scientists.
In this article, we will look into different ways of data management from analysis, keeping safe and even others aspects such as copying into different ways.This is important because it protects and monitors the lifecycle of the dataA lifecycle is a process from collection upto analysis to the point where it is finally used.
We wil start with data modeling, planning and finding of meaning.Data analysis is getting the meaning to the already collected or stored data in terms of graphing or other means.
Data quality management is another important aspect in this.These have got many areas such data cleaning and others. Data cleaning is the removal of unwanted elements within your data set.one can remove non correspondent data in the data set in an effort to ensure that the data is clean. Consistency is another area closely related to data cleaning whereby, there is assurance of order of the data such that the elements such dates follow each other in the correct sequence.
Data management is related to another important component called the data quality. This is known to be the aspect of ensuring that the data truly reflects the actual picture in real world. This means a data that is of high quality reflects the true situation on the ground. Low quality data nor show the real world situation.
Security of the data is the process of ensuring that the so collected data is not vulnerable to corruption and other malpractices that can render the data unusable. This is always intended to improve the quality of data by minimizing alterations. This is done by use of various means such as use of password and instilling of other measures that minimizes accessibility to the data. Some of the applications currently place discourages modifications but allow replication or copying.
Database management. These are terms used to refer to the process of keeping and using the data. Data management has the administrator and the user. The administrator is the person who puts the data into the data base and has the moral authority and ability to make modifications but the user can only use the data.