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- W1602677835 abstract "An effective monitoring and reporting (M&R) function is absolutely necessary for successful data quality (DQ) deployment. This function is usually carried out with the help of scorecards. The DQ scorecard is a strategic tool that can be used by DQ teams and technology teams to understand the behavior of critical data elements (CDEs) in relation to the performance of business function, capability, business unit, or operational data source (ODS). This chapter describes a mechanism to construct and implement effective scorecards. The analytical framework presented in the chapter is quite useful in improve and control phases of the DAIC approach. The analytical framework with tools (Pareto analysis, heat maps, analysis of variance (ANOVA), and statistical process control (SPC) and thresholds), is extremely important for identification of focus areas and to conduct drill-down analysis. Development of DQ scorecards is quite important for successful deployment of DQ operations in an organization." @default.
- W1602677835 created "2016-06-24" @default.
- W1602677835 creator A5084309516 @default.
- W1602677835 date "2014-02-21" @default.
- W1602677835 modified "2023-10-17" @default.
- W1602677835 title "Data Quality Monitoring and Reporting Scorecards" @default.
- W1602677835 doi "https://doi.org/10.1002/9781118840962.ch8" @default.
- W1602677835 hasPublicationYear "2014" @default.
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