About Data Quality Management Processes and Phases

OWB offers a set of features that assist you in creating data systems that provide high quality information to your business users. With OWB you can implement a process that assesses, designs, transforms, and monitors data quality. The aim of building a data warehouse is to have an integrated, single source of data that can be used to make business decisions. Since the data is usually sourced from a number of disparate systems, it is important to ensure that the data is standardized and cleansed before loading into the data warehouse.

Using OWB for data management provides the following benefits:

• Provides an end-to-end data quality solution

• Enables you to include data quality and data profiling as an integral part of your data integration process.

• Stores metadata regarding the quality of your data alongside your data definitions.

• Automatically generates the mappings that you can use to correct data. These mappings are based on the business rules that you choose to apply to your data and decisions you make on how to correct data.

The rest of this section is devoted to discussing the phases of implementing and using data quality processes.