Enterprise Data Quality

What Does Enterprise Data Quality Mean?

Enterprise data quality refers to class of software that is designed to organize and maintain stored information so that it can be used effectively by all the different applications in an organization. Enterprise data quality is meant to ensure that all data is accurate, complete, consistent and as up-to-date as possible. To achieve this, many procedural controls are required, including:

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  • A system of data validation to ensure data is accurate on entry
  • Data profiling that can identify existing data that does not meet requirements
  • Processes to detect and merge or eliminate duplicate entries
  • Scheduled data audits to ensure that existing data remains relevant

Techopedia Explains Enterprise Data Quality

The need for enterprise data quality has grown as organizations move toward programs that can be applied across all the divisions of an organization. Whereas an organization may have once had a server in each branch office, where different software was used according to local tastes, the adoption of enterprise software requires more standardization. Despite the initial challenges in attaining enterprise data quality, organizations benefit in the long term because standardized data makes it easier to apply business analytics and meet reporting requirements, as well as reduce the money spent on maintaining diverse databases.

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Margaret Rouse
Technology Expert

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.