Executing data quality projects ten steps to quality data and trusted information
Information is currency. In today's world of instant global communication and rapidly changing trends, up-to-date and reliable information is essential to effective competition. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Amsterdam ; Boston :
Morgan Kaufmann/Elsevier
c2008.
|
| Edition: | 1st edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627856606719 |
Table of Contents:
- Front Cover; Executing Data Quality Projects; Copyright Page; Contents; Acknowledgments; Introduction; The Reason for This Book; Intended Audiences; Structure of This Book; How to Use This Book; Chapter 1. Overview; The Impact of Information and Data Quality; About the Methodology: Concepts and Steps; Approaches to Data Quality in Projects; Engaging Management; Chapter 2. Key Concepts; Introduction; The Framework for Information Quality; The Information Life Cycle; Data Quality Dimensions; Business Impact Techniques; Data Categories; Data Specifications; Data Governance and Data Stewardship
- The Information and Data Quality Improvement CycleThe Ten Steps Process; Best Practices and Guidelines; Chapter 3. The Ten Steps Process; Introduction; Step 1 Define Business Need and Approach; Introduction; Step 1.1 Prioritize the Business Issue; Step 1.2 Plan the Project; Step 2 Analyze Information Environment; Introduction; Step 2.1 Understand Relevant Requirements; Step 2.2 Understand Relevant Data and Specifi cations; Step 2.3 Understand Relevant Technology; Step 2.4 Understand Relevant Processes; Step 2.5 Understand Relevant People/Organizations
- Step 2.6 Define the Information Life CycleStep 2.7 Design Data Capture and Assessment Plan; Step 3 Assess Data Quality; Step 3.1 Data Specifi cations; Step 3.2 Data Integrity Fundamentals; Step 3.3 Duplication; Step 3.4 Accuracy; Step 3.5 Consistency and Synchronization; Step 3.6 Timeliness and Availability; Step 3.7 Ease of Use and Maintainability; Step 3.8 Data Coverage; Step 3.9 Presentation Quality; Step 3.10 Perception, Relevance, and Trust; Step 3.11 Data Decay; Step 3.12 Transactability; Step 4 Assess Business Impact; Step 4.1 Anecdotes; Step 4.2 Usage
- Step 4.3 Five "Whys" for Business ImpactStep 4.4 Benefit versus Cost Matrix; Step 4.5 Ranking and Prioritization; Step 4.6 Process Impact; Step 4.7 Cost of Low-Quality Data; Step 4.8 Cost-Benefit Analysis; Step 5 Identify Root Causes; Step 5.1 Five "Whys" for Root Cause; Step 5.2 Track and Trace; Step 5.3 Cause-and-Effect/Fishbone Diagram; Step 6 Develop Improvement Plans; Step 7 Prevent Future Data Errors; Step 8 Correct Current Data Errors; Step 9 Implement Controls; Step 10 Communicate Actions and Results; The Ten Steps Process Summary; Chapter 4. Structuring Your Project
- Projects and The Ten StepsData Quality Project Roles; Project Timing; Chapter 5. Other Techniques and Tools; Introduction; Information Life Cycle Approaches; Capture Data; Analyze and Document Results; Metrics; Data Quality Tools; The Ten Steps and Six Sigma; Chapter 6. A Few Final Words; Appendix: Quick References; The Framework for Information Quality; The POSMAD Interaction Matrix in Detail; POSMAD Phases and Activities; Data Quality Dimensions; Business Impact Techniques; Overview of The Ten Steps Process; Definitions of Data Categories; Glossary; Bibliography
- List of Figures, Tables, and Templates
