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:
- 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.
