The Practitioner's Guide to Data Quality Improvement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Practitioner's Guide to Data Quality Improvement write by David Loshin. This book was released on 2010-11-22. The Practitioner's Guide to Data Quality Improvement available in PDF, EPUB and Kindle. The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.
A Practitioner's Guide to Data Governance
A Practitioner's Guide to Data Governance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Practitioner's Guide to Data Governance write by Uma Gupta. This book was released on 2020-07-08. A Practitioner's Guide to Data Governance available in PDF, EPUB and Kindle. Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.
A Practitioner's Guide to Business Analytics (PB)
A Practitioner's Guide to Business Analytics (PB) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Practitioner's Guide to Business Analytics (PB) write by Randy Bartlett. This book was released on 2013-01-25. A Practitioner's Guide to Business Analytics (PB) available in PDF, EPUB and Kindle. Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.
Outlines and Highlights for the Practitioners Guide to Data Quality Improvement by David Loshin
Outlines and Highlights for the Practitioners Guide to Data Quality Improvement by David Loshin - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Outlines and Highlights for the Practitioners Guide to Data Quality Improvement by David Loshin write by Cram101 Textbook Reviews. This book was released on 2011-07-01. Outlines and Highlights for the Practitioners Guide to Data Quality Improvement by David Loshin available in PDF, EPUB and Kindle. Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780123737175 .
Handbook of Data Quality
Handbook of Data Quality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Data Quality write by Shazia Sadiq. This book was released on 2013-08-13. Handbook of Data Quality available in PDF, EPUB and Kindle. The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.
