Saturday, 7 February 2015

Data Quality Management: A Primer


Data governance

Ensuring that data is of a standard quality across the organization is immeasurably important. The worth of a work place can easily be judged by the quality of its data. Sloppy organizations tend to have sloppy databases. Bad data can clutter your system, slow down work process and decrease efficiency. This is where data quality tools come into the picture.

As a basic definition, data quality tools are any processes, software or hardware that help you maintain a certain level of accuracy in data. It includes how reliable the data is. High quality data has about four qualities, and these are completeness, accuracy, availability and timeliness.

Data governance is another important aspect of data quality management. It essentially refers to a standardization process that all data entry and retrieval must subscribe to. Data governance helps reduce clutter, increase efficiency and speed up processes. While it can be a messy task to implement, the benefits of it far outweigh the negatives.

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