In Agosta's (2005) article, some of the trends in data quality management

In Agosta?s (2005) article, some of the trends in selective information character reference forethought include: improved meta data fictional character, data profiling, standardization, and scoreboard reporting. Agosta identifies at that place where there is data, there is metadata, and the same quality practices that feed to our data should be applied to the metadata. The ability to profile data and determine every defects or quality issues is also other trend which vendors ar focusing on in the advance years. The standardization of tools, processes and workflows helps manage the end-to-end process of data introduction to reporting measured against quality standards. Fin wholey 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 necessitate to pay fear to the trends in data quality charge such as the emergence a mount of end-users using the database requiring high-availability databases; the growing data sources, motley application integration requirements with integrated guest view, and the demand for to a greater extent unique and mixed queries. Meeting the business requirements is an operating rationale that the governing?s database moldiness satisfy.

For example, the database must be restrain to protect the makeup?s assets, it must be able to meet all the organization?s requests, it must be able to expeditiously store and retrieve data, it must be very stable, and must pass rigorous testing onward implemented into production. underdeveloped a timely system and resulting in a speak to effective and productive system are also ! most-valuable 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... If you destiny to get a full essay, order it on our website: OrderEssay.net

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