InfoSphere QualityStage methodology

Knowledge of the overall workflow helps you streamline your data cleansing implementation.

Creating cleansed data is a four-phase and iterative approach as shown in the following diagram:

Phase one: Understand organizational goals and how they determine your requirements
Phase two: Understand and analyze the nature and content of the source data
Phase three: Design and develop the jobs that cleanse the data
Phase four: Evaluate the results

Figure 1. Four phases of data cleansing