In Agosta?s (2005) article, some of the trends in data quality forethought include: improved meta data quality, data profiling, standardization, and scoreboard reporting.
Agosta identifies at that place where there is data, there is metadata, and the same quality practices that apply to our data should be applied to the metadata.
The ability to profile data and determine every defects or quality issues is also another trend which vendors ar focusing on in the coming years.
The standardization of tools, processes and workflows helps manage the end-to-end process of data entry to reporting measured against quality standards.
Finally scoreboard reporting allows admisitrative views into the operations of databases, including data quality.
mike S.
ReferencesAgosta, L. (2005, February). Trends in data quality. DM Review, 157(2), 34-36.
Vendors need to pay fear to the trends in data quality management such as the growing amount of end-users using the database requiring high-availability databases; the growing data sources, motley application integration requirements with integrated customer view, and the demand for to a greater extent unique and complex queries.
Meeting the business requirements is an operating rationale that the governing?s database must satisfy.
For example, the database must be restrain to protect the organization?s assets, it must be able to meet all the organization?s requests, it must be able to efficiently store and retrieve data, it must be very stable, and must pass rigorous testing onward implemented into production.
Developing a timely system and resulting in a cost effective and productive system are also important roles from business rules in database development. These roles allow the organization to maintain its competitive edge by maintaining its development reckon while implementing or producing a very productive database.
In his article, Agosta (2005) discusses data quality and gives an example of how bad data depose cost a business money and display the need...
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