Data monitoring is a business practice in which critical business data is routinely checked against quality control rules to make sure it is always of high quality and meets previously established standards for formatting and consistency.
Data monitoring allows an organization to proactively maintain a high, consistent standard of data quality. By checking data routinely as it is stored within applications, organizations can avoid the resource-intensive pre-processing of data before it is moved. With data monitoring, data is quality checked at creation time rather than before a move.
Data monitoring proactively checks new data against a list of rules as the data is saved. If data quality issues are detected, an alert is sent to an administrator giving information about the rules violation so the data can be checked. Data rules can be created and edited as needed in order to enforce new data quality objectives as they arise.
Data monitoring saves the organization time and money that would otherwise be spent to check and transform data before it is moved. Data monitoring promotes business agility because new initiatives involving data can be undertaken immediately without a time-consuming data preparation phase.