Journey to Data Quality

Description

All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Quality offers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them.

The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.



http://rapidshare.com/files/74835443/0262122871.rar

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1. Ebooks list page : 1461
2. Journey to Data Quality
3. Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information
4. Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
5. Statistical Data Editing: Impact on Data Quality
6. Data Quality and High-Dimensional Data Analysis
7. Competitive Intelligence: A Guide for Your Journey to Best-practice Processes
8. Spatial Data Quality
9. Data Quality: The Accuracy Dimension
10. Fundamentals of Spatial Data Quality
11. Quality Measures in Data Mining
12. Quality Measures in Data Mining
13. Data Quality: The Accuracy Dimension
14. Data Quality and Record Linkage Techniques
15. Data Quality and Record Linkage Techniques
16. Quality Measures in Data Mining (repost)