Quality Is Presence Of Value And Not Absence Of Mistake

This designer ruled statement journal is the most stylish way to record daily notes, musings and notes. 130 professionally bound 6x9" pages, with a luxurious matte finish cover. Order yours today!

Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality. * Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes. * Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy. * Is written by one of the original developers of data profiling technology. * Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.

Federal financial aid for postsecondary education students involves both large expenditures and a complex distribution system. The accuracy of the needs-based award process and the system of accountability required of the 8,000 institutional participants are the focus of this book. It assesses the current measures of system quality and possible alternatives, such as a total quality management approach. The analysis covers steps to eliminate sources of errorâ€"by reducing the complexity of the application form, for example. The volume discusses the potential for a risk-based approach for verification of applicant-supplied information and for audit and program reviews of institutions. This examination of the interrelationships among the aid award and quality control activities will be of interest to anyone searching for a more efficient aid system. The book can also serve as a case study for other government agencies seeking to examine operations using modern quality management principles.

Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery.

Maintaining forest biodiversity by combining protection, management and restoration of forest and woodland landscapes is a central component of sustainable development. Evidence that there are threshold levels for how much habitat loss may be tolerated for viable populations of specialised species to be maintained. Policy-makers, businesses and managers pose questions about how to balance use of renewable forest resources and conserve biodiversity. Examples are presented on how biodiversity assessments can be made. Proposes how the critical gaps in our knowledge identified throughout the book could be filled through macroecological research and international co-operation.