Master Data Management in Practice: Achieving True Customer MDM

Data Maintenance

Chapter 6 focused on establishing a data quality model and process to baseline the current quality of the data, handle requests for data quality improvements, and self-feed through metrics for continuous improvement. It briefly covered aspects of data correction and data quality metrics, which will be expanded further in this chapter.

Figure 6.1 in Chapter 6 depicts the interaction of the many roles within the company needed on a data quality process. In essence, the underlying method within that process is represented in Figure 8.1.

Figure 8.1 Data Quality Maintenance Method

Here is how the process and the method overlap:

• The specify task is achieved by the many drivers within the company, including the data governance council and the data quality forum.
• The profile task is performed by the data analysts to uncover many aspects of the data.
• The analyze task is executed by the design team and the data quality forum with feedback from the data governance council and applicable drivers and stakeholders.
• The improve task is carried on by IT support and/or data stewards upon proper approvals.
• The control task is implemented by the data quality team through monitors and scorecards, and reported to proper teams and data governance for proper tracking and future improvements.

Understanding how the method is embedded within the process helps envision the continuous data ...