Improving data quality is a timeless strategy that can provide value on its own, or can be done as a first step towards something else, such as master data management (MDM). It can also be done in conjuction with MDM. This white paper will explore all three of these use cases:

• Data quality independently, which is good for cleaning data inside an application or as it’s being moved into another application
• Data quality as a first step towards MDM, which allows you to start with one application knowing that MDM will be introduced as more applications get into the act
• Data quality in parallel with an MDM implementation, which is good for cleaning up and standardizing data across multiple applications