subject: Using A Managed Approach To Integrating Data Quality Services Within The Data Integration Process [print this page] If the challenges are initiated as a consequence of the need for data integration, one shift toward to resolving it is by distinguishing that the anxiety exist, building out what the concerns are, and then retooling the data integration process so that it integrates ways to remediate data flaws before they have material impact. Luckily, a governed move toward to incorporating data quality services within the data integration process can improve a number of the problems that can appear as a byproduct of ungoverned data consolidation. The first step is to establishment some main data governance processes to make possible the compilation and standardization of enterprise data quality needs. The second step is inserting data quality management methods within the data integration strategy.
While an enterprise data quality and governance program will includes a broad range of data management processes, the sensible stress of data integration propose focusing on a separation of those follows that openly support data integration, such as:
Typical business application development considers the compilation of data needs as auxiliary to the efficient supplies analysis process. But because enterprise projects such as data warehousing and customer relationship management cross line-of-business boundaries, there is a require for a well-defined process for importuning, documenting, and producing the composed information prospects that all downstream users will wait for, and then translate those prediction into data supplies to be necessary on all contender data sources. Not only does this induce a basic amend in requirements of gathering; it also requires the kind of mistake accessible by a data governance transportation.
Defining data standards can address the confront of contradiction, particularly aligning data element meaning and semantics. When main stakeholders from across the enterprise contribute in an evaluate and sanction process for planned data standards, there is an amount of assurance that the standards will be defined so that the composed downstream data consumer needs will be observed.
