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&>The Start-to-Finish, Best-Practice Guide to Implementing and Using DITA Darwin Information Typing Architecture (DITA) is today's most powerful toolbox for constructing information. By implementing DITA, organizations can gain more value from their technical documentation than ever before. Now, three DITA pioneers offer the first complete roadmap for successful DITA adoption, implementation, and usage. Drawing on years of experience helping large organizations adopt DITA, the authors answer crucial questions the "official" DITA documents ignore, including: Where do you start? What should you know up front? What are the pitfalls in implementing DITA? How can you avoid those pitfalls? The aut...
How well does your organization manage the risks associated with information quality? Managing information risk is becoming a top priority on the organizational agenda. The increasing sophistication of IT capabilities along with the constantly changing dynamics of global competition are forcing businesses to make use of their information more effectively. Information is becoming a core resource and asset for all organizations; however, it also brings many potential risks to an organization, from strategic, operational, financial, compliance, and environmental to societal. If you continue to struggle to understand and measure how information and its quality affects your business, this book is...
Based on the Lectures given during the Ispra-Course held at the Centro de Formação Técnica, Lisbon, Portugal, October 23-27, 1989, in collaboration with the Laboratorio Nacional de Engenharia e Tecnologia
Provides an overview of fundamental issues underlying central aspects of data quality - data consistency, data deduplication, data accuracy, data currency, and information completeness. The book promotes a uniform logical framework for dealing with these issues, based on data quality rules.
Practical business cases and techniques to help you understand when cloud investments make sense and when they don't. With decision models that are anchored with practical experiences and lessons to guide your decision making.
IBM Cognos 10 is the next generation of the leading performance management, analysis, and reporting standard for mid- to large-sized companies. One of the most exciting and useful aspects of IBM Cognos software is its powerful custom report creation capabilities. After learning the basics, report authors in the enterprise need to apply the technology to reports in their actual, complex work environment. This book provides that advanced know how. Using practical examples based on years of teaching experiences as IBM Cognos instructors, the authors provide you with examples of typical advanced reporting designs and complex queries in reports. The reporting solutions in this book can be directl...
First multi-year cumulation covers six years: 1965-70.
The “Rudolf Mössbauer Story” recounts the history of the discovery of the “Mössbauer Effect” in 1958 by Rudolf Mössbauer as a graduate student of Heinz Maier-Leibnitz for which he received the Nobel Prize in 1961 when he was 32 years old. The development of numerous applications of the Mössbauer Effect in many fields of sciences , such as physics, chemistry, biology and medicine is reviewed by experts who contributed to this wide spread research. In 1978 Mössbauer focused his research interest on a new field “Neutrino Oscillations” and later on the study of the properties of the neutrinos emitted by the sun.
Good data is a source of myriad opportunities, while bad data is a tremendous burden. Companies that manage their data effectively are able to achieve a competitive advantage in the marketplace, while bad data, like cancer, can weaken and kill an organization. In this comprehensive book, Rupa Mahanti provides guidance on the different aspects of data quality with the aim to be able to improve data quality. Specifically, the book addresses: Causes of bad data quality, bad data quality impacts, and importance of data quality to justify the case for data quality Butterfly effect of data quality A detailed description of data quality dimensions and their measurement Data quality strategy approac...
Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.