The Practitioners Guide To Data Quality Improvement David Loshin Auth by David Loshin (auth.) 9780123737175, 0123737176 instant download after payment.

• "There is NOTHING like this out there that I am aware of, and certainly nothing from anyone with same stature as David Loshin."--David Plotkin, Wells Fargo Bank

  "The book provides a comprehensive look at data quality from both a business and IT perspective. It does not just cover technology issues, but discusses people, process, and technology. And that is important, because this is the mix that is needed in order to initiate any type of quality improvement regimen."--Data Technology Today Blog

  
  

Content:
Front matter, Pages i-iii
Copyright, Page iv
Foreword, Pages xi-xii
Preface, Pages xiii-xix
Acknowledgments, Pages xxi-xxii
About the Author, Page xxiii
Chapter 1 - Business Impacts of Poor Data Quality, Pages 1-16
2 - The Organizational Data Quality Program, Pages 17-34
3 - Data Quality Maturity, Pages 35-51
4 - Enterprise Initiative Integration, Pages 53-66
5 - Developing A Business Case and A Data Quality Road Map, Pages 67-90
6 - Metrics and Performance Improvement, Pages 91-113
7 - Data Governance, Pages 115-128
8 - Dimensions of Data Quality, Pages 129-146
Chapter 9 - Data Requirements Analysis, Pages 147-165
10 - Metadata and Data Standards, Pages 167-189
11 - Data Quality Assessment, Pages 191-206
12 - Remediation and Improvement Planning, Pages 207-218
13 - Data Quality Service Level Agreements, Pages 219-240
14 - Data Profiling, Pages 241-259
15 - Parsing and Standardization, Pages 261-278
16 - Entity Identity Resolution, Pages 279-297
17 - Inspection, Monitoring, Auditing, and Tracking, Pages 299-312
18 - Data Enhancement, Pages 313-325
19 - Master Data Management and Data Quality, Pages 327-350
20 - Bringing It All Together, Pages 351-383
Index, Pages 385-398