Quality: Managing data quality means making sure it's updated, useful and accurate. They are:Ĭleansing: Data cleansing involves finding and fixing inaccurate data. Data maintenance is a general term that encompasses many elements of data. This process is important because it allows organizations to identify and correct issues before they become a more significant concern and enables them to prevent some problems from occurring. Related: Data Management Skills: Definition and Examples What is data maintenance?ĭata maintenance is the process of auditing, organizing and correcting data in management systems and databases to ensure accuracy and accessibility. In this article, we explain what data maintenance and what data cleansing are, compare the two and share tips for efficient processes.
Learning about the two can help you develop schedules and procedures for completing them regularly.
Data maintenance and data cleansing are two different elements of data management but they have many related functions. Data management is an essential process that allows companies to use their data to serve clients and work toward objectives.
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