120 results on '"Pipino, Leo"'
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2. Information Quality Assessment
3. Information Quality Assessment
4. Artificial Neural Networks as Alternatives to Statistical Quality Control Charts in Manufacturing Processes
5. Process-embedded data integrity
6. Journey to Data Quality
7. Manage your information as a product
8. Determinants of adoption for open-source office applications: A plural investigation
9. A Comparison of the Manipulation of Certainty Factors by Individuals and Expert System Shells
10. Data Quality Assessment.
11. A systematic approach to the small organization's computer decision
12. Journey to Data Quality
13. Journey to Data Quality
14. Chapter 4: Assessing Data Quality, Part II: Metrics for Data Quality.
15. Chapter 6: Understanding the Anatomy of Data Quality Problems and Patterns: Manifestation of Data Quality Problems.
16. Chapter 11: Data Quality Policy: Appendix 3: Data Quality Practice & Product Assessment Instrument.
17. Chapter 11: Data Quality Policy: Appendix 1: Job Descriptions of Data Quality Positions.
18. Chapter 11: Data Quality Policy: Ten Policy Guidelines.
19. Chapter 10: Data Quality Initiatives: A Case of a Large Teaching Hospital: Concluding Remarks.
20. Chapter 10: Data Quality Initiatives: A Case of a Large Teaching Hospital: Information Product Maps.
21. Chapter 10: Data Quality Initiatives: A Case of a Large Teaching Hospital: Data Submission Improvement Project.
22. Chapter 10: Data Quality Initiatives: A Case of a Large Teaching Hospital: Case Study LTH Health System.
23. Chapter 9: Developing Information Product Maps: Building the IP-Map: A Case Example.
24. Chapter 9: Developing Information Product Maps: Basic Definitions, Concepts, and Symbols.
25. Chapter 8: Managing Information as Product: Managing Information as By-product Will Not Work.
26. Chapter 8: Managing Information as Product: Four Principles.
27. Chapter 7: Identifying Root Causes of Data Quality Problems: A Case of a Health Care Organization: Uncovering the Causes of Data Quality Problems.
28. Chapter 7: Identifying Root Causes of Data Quality Problems: A Case of a Health Care Organization: Identifying Problems.
29. Chapter 6: Understanding the Anatomy of Data Quality Problems and Patterns: Ten Root Conditions of Data Quality Problems.
30. Chapter 5: Sampling for Data Quality Assurance: Performing Sampling in a Transaction Database Environment.
31. Chapter 3: Assessing Data Quality, Part I: Appendix: Information Quality Assessment (IQA) Survey.
32. Chapter 4: Assessing Data Quality, Part II: Process-Embedded Data Integrity Approach.
33. Chapter 3: Assessing Data Quality, Part I: Gap Analysis Techniques.
34. Chapter 3: Assessing Data Quality, Part I: Assessment Approaches in Practice.
35. Chapter 2: Cost/Benefit Analysis: Further Cost/Benefit Analysis Techniques.
36. Chapter 2: Cost/Benefit Analysis: A Case Example.
37. Chapter 2: Cost/Benefit Analysis: The Cost/Benefit Trade-off.
38. Teaching Information Quality in Information Systems Undergraduate Education
39. A study of the effect of communication channel and authority on group decision processes and outcomes
40. Classifying the uncertainty arithmetic of individuals using competitive learning neural networks
41. Chapter 12: End of the Journey?: Formally Capturing the Quality Characteristics of Data.
42. Chapter 12: End of the Journey?: Corporate Householding.
43. Chapter 12: End of the Journey?: Data Mining.
44. Chapter 9: Developing Information Product Maps: Procedure to Generate an IP-Map.
45. Chapter 8: Managing Information as Product: Four Cases.
46. Chapter 5: Sampling for Data Quality Assurance: Selecting a Sampling Procedure.
47. Chapter 5: Sampling for Data Quality Assurance: Fundamental Concepts.
48. Chapter 1: Introduction: Overview of the Book.
49. Chapter 1: Introduction: A New System Is Not the Answer.
50. A pilot study of fuzzy set modification of Delphi*
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