David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including “Master Data Management" (2008) and “Business Intelligence – The Savvy Manager’s Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.

"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

• PrefaceChapter 1: Business Impacts of Poor Data QualityChapter 2: The Organizational Data Quality ProgramChapter 3: Data Quality MaturityChapter 4: Enterprise Initiative IntegrationChapter 5: Developing a Business Case and a Data Quality RoadmapChapter 6: Metrics and Performance ImprovementChapter 7: Data GovernanceChapter 8: Dimensions of Data QualityChapter 9: Data Requirement AnalysisChapter 10: Metadata and Data StandardChapter 11: Data Quality AssessmentChapter 12: Remediation and Improvement PlanningChapter 13: Data Quality Service Level AgreementsChapter 14: Data ProfilingChapter 15: Parsing and StandardizationChapter 16: Entity Identity ResolutionChapter 17: Inspection, Monitoring, Auditing, and TrackingChapter 18: Data EnhancementChapter 19: Master Data Management and Data QualityChapter 20: Bringing It All Together

David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including “Master Data Management" (2008) and “Business Intelligence – The Savvy Manager’s Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.

"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

• PrefaceChapter 1: Business Impacts of Poor Data QualityChapter 2: The Organizational Data Quality ProgramChapter 3: Data Quality MaturityChapter 4: Enterprise Initiative IntegrationChapter 5: Developing a Business Case and a Data Quality RoadmapChapter 6: Metrics and Performance ImprovementChapter 7: Data GovernanceChapter 8: Dimensions of Data QualityChapter 9: Data Requirement AnalysisChapter 10: Metadata and Data StandardChapter 11: Data Quality AssessmentChapter 12: Remediation and Improvement PlanningChapter 13: Data Quality Service Level AgreementsChapter 14: Data ProfilingChapter 15: Parsing and StandardizationChapter 16: Entity Identity ResolutionChapter 17: Inspection, Monitoring, Auditing, and TrackingChapter 18: Data EnhancementChapter 19: Master Data Management and Data QualityChapter 20: Bringing It All Together

David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including “Master Data Management" (2008) and “Business Intelligence – The Savvy Manager’s Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.

"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

• PrefaceChapter 1: Business Impacts of Poor Data QualityChapter 2: The Organizational Data Quality ProgramChapter 3: Data Quality MaturityChapter 4: Enterprise Initiative IntegrationChapter 5: Developing a Business Case and a Data Quality RoadmapChapter 6: Metrics and Performance ImprovementChapter 7: Data GovernanceChapter 8: Dimensions of Data QualityChapter 9: Data Requirement AnalysisChapter 10: Metadata and Data StandardChapter 11: Data Quality AssessmentChapter 12: Remediation and Improvement PlanningChapter 13: Data Quality Service Level AgreementsChapter 14: Data ProfilingChapter 15: Parsing and StandardizationChapter 16: Entity Identity ResolutionChapter 17: Inspection, Monitoring, Auditing, and TrackingChapter 18: Data EnhancementChapter 19: Master Data Management and Data QualityChapter 20: Bringing It All Together