Download Journey to Data Quality by Yang W. Lee, Leo L. Pipino, James D. Funk, Richard Y. Wang PDF

By Yang W. Lee, Leo L. Pipino, James D. Funk, Richard Y. Wang

All businesses this day confront info caliber difficulties, either systemic and structural. Neither advert hoc techniques nor fixes on the platforms level—installing the most recent software program or constructing a pricey info warehouse—solve the elemental challenge of undesirable information caliber practices. trip to facts caliber deals a roadmap that may be utilized by practitioners, executives, and scholars for making plans and imposing a possible facts and knowledge caliber administration application. This sensible advisor, in keeping with rigorous learn and trained by means of real-world examples, describes the demanding situations of information administration and gives the foundations, innovations, instruments, and strategies essential to meet them. The authors, all leaders within the information caliber box for a few years, talk about tips on how to make the industrial case for information caliber and the significance of having an organization's leaders on board. They define assorted techniques for assessing info, either subjectively (by clients) and objectively (using sampling and different techniques). They describe genuine difficulties and suggestions, together with efforts to discover the basis motives of knowledge caliber difficulties at a healthcare association and information caliber projects taken by way of a wide educating health facility. They handle environment corporation coverage on info caliber and, ultimately, they think about destiny demanding situations at the trip to info caliber.

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Organization 1 is the best-practice organization. 6. The y-axis is the level of quality. 7 38 Chapter 3 graph are the mean levels of information quality reported by information consumers and information systems professionals. The line between the diamond and the square for each organization represents the size of the role gap. 7 the size of the role gap (the length of the line) is noticeably greater for organizations 2 and 5 than for organizations 3 and 4, which means that in the former two companies, information consumers and professionals disagreed substantially about how easy it is to use the data in the company’s system.

All of these techniques can be adapted and tailored to an organization’s individual needs and goals. Assessment Approaches in Practice Comparative Approach: Subjective and Objective Assessments The diagnostic approach to data quality analysis consists of three steps: (1) perform data quality survey and measure data quality using data quality metrics, (2) compare the results of the two assessments, identify discrepancies, and determine root causes of discrepancies, and (3) determine and take necessary actions for improvement.

When analyzing benchmark gaps, three indicators should be considered:    Size of the gap area Location of the gap Different-sized gaps over the x-axis There is a substantial gap between the best-practice organization and the four other organizations. , 2002, p. 142. usability of data in all four organizations. The location of the gap refers to its placement on the y-axis. 6. In this case, the size of the gap does not change much for different values of the x-axis. For company 3, however, the size of the gap is smaller after the 70th percentile.

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