How would you balance the competing demands of maintaining data quality, while at the same time providing high...
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
quality information management and analysis?
On the one hand, I can see how maintaining data quality and providing high quality information management and analysis are pitted against each other, but on the other hand, wouldn't you consider that both are different sides of the same coin? High quality information management and analysis both fundamentally rely on a data governance model that establishes the roles and accountabilities of the data management staff, especially in how they support the business clients' needs. However, the quality of the management and the analysis are ultimately dependent on the quality of the data sets that compose the resource that is the target of the business applications. In this respect, we again can rely on data governance -- this time focusing on data quality expectations, dimensions, inspection, control and issues management. The ability to integrate technology to support these activities is admirable, but tools (such as cleansing or even profiling) will take a back seat to the processes defined to exploit technology for information value.
My suggestion is to take a step backward and assess the organization's existing framework for data governance (whether it is explicit or implicit) and see how those processes impact both data quality management and information management. Perhaps there are protocols that can be unified because their ultimate objectives are the same, providing the basis for a streamlining of both activities and reducing the competing demands.
More on data quality management
Dig Deeper on Data quality techniques and best practices
Related Q&A from David Loshin
Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold ...continue reading
Learn how often companies should update their data quality strategy. See how changes in data quality problems create new challenges and how revising ...continue reading
Learn about emerging data governance trends for 2011, including more use of data governance tools and data quality metrics and scorecards. Find out ...continue reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.