If "doctor knows best," why haven't quality and safety in medicine been more of a sure thing?

How to apply data quality management techniques to marketing, sales, and other specific business units Author and information quality management expert Larry English returns with a sequel to his much-acclaimed book, Improving Data Warehouse and Business Information Quality. In this new book he takes a hands-on approach, showing how to apply the concepts outlined in the first book to specific business areas like marketing, sales, finance, and human resources. The book presents real-world scenarios so you can see how to meld data quality concepts to specific business areas such as supply chain management, product and service development, customer care, and others. Step-by-step instruction, practical techniques, and helpful templates from the author help you immediately apply best practices and start modeling your own quality initiatives. Maintaining the quality and accuracy of business data is crucial; database managers are in need of specific guidance for data quality management in all key business areas Information Quality Applied offers IT, database, and business managers step-by-step instruction in setting up methodical and effective procedures The book provides specifics if you have to manage data quality in marketing, sales, customer care, supply chain management, product and service management, human resources, or finance The author includes templates that readers can put to immedate use for modeling their own quality initiatives A Companion Web site provides templates, updates to the book, and links to related sites

Quality improvement expert Greene extrapolates currently fully-formed approaches as well as nascent approaches to quality further along their lines of development so that readers can gain competitive advantage over international competitors in quality. He organizes the profusion of quality approache

Quality. We all make judgments about it every day. Yet articulating a clear definition of quality in an investing context is challenging. This book addresses the challenge, and distills years of practical investing experience into a definitive account of this under-explored investment philosophy. Finance theory has it that abnormal outcomes do not persist, that exceptional performance will soon enough become average performance. Quality investing involves seeking companies with the right attributes to overcome these forces of mean reversion and, crucially, owning these outstanding companies for the long term. This book pinpoints and explains the characteristics that increase the probability of a company prospering over time - as well as those that hinder such chances. Throughout, a series of fascinating real-life case studies illustrate the traits that signify quality, as well as some that flatter to deceive. The authors' firm, AKO Capital, has a strong track record of finding and investing in quality companies - helping it deliver a compound annual growth rate more than double that of the market since inception. Quality Investing sheds light on the investment philosophy, processes and tough lessons that have contributed to this consistent outperformance.

Anyone can buy stock in a public company, but not all shareholders are equally committed to a company’s long-term success. In an increasingly fragmented financial world, shareholders’ attitudes toward the companies in which they invest vary widely, from time horizon to conviction. Faced with indexers, short-term traders, and activists, it is more important than ever for businesses to ensure that their shareholders are dedicated to their missions. Today’s companies need “quality shareholders,” as Warren Buffett called those who “load up and stick around,” or buy large stakes and hold for long periods. Lawrence A. Cunningham offers an expert guide to the benefits of attracting and keeping quality shareholders. He demonstrates that a high density of dedicated long-term shareholders results in numerous comparative and competitive advantages for companies and their managers, including a longer runway to execute business strategy and a loyal cohort against adversity. Cunningham explores dozens of corporate practices and policies—such as rational capital allocation, long-term performance metrics, and a shareholder orientation—that can help shape the shareholder base and bring in committed owners. Focusing on the benefits for corporations and their investors, he reveals what draws quality shareholders to certain companies and what it means to have them in an investor base. This book is vital reading for investors, executives, and directors seeking to understand and attract the kind of shareholders that their companies need.

This comprehensive reference on software development quality assurance addresses all four dimensions of quality: specifications, design, construction and conformance. It focuses on quality from both the micro and macro view. From a micro view, it details the aspect of building-in quality at the component level to help ensure that the overall deliverable has ingrained quality. From a macro view, it addresses the organizational level activities that provide an environment conducive to fostering quality in the deliverables as well as developing a culture focused on quality in the organization. Mastering Software Quality Assurance also explores a process driven approach to quality, and provides the information and guidance needed for implementing a process quality model in your organization. It includes best practices and valuable tools and techniques for software developers.Key Features • Provides a comprehensive, inclusive view of software quality • Tackles the four dimensions of quality as applicable to software development organizations • Offers unique insights into achieving quality at the component level • Deals comprehensively with all aspects of measuring software quality • Explores process quality from the standpoint of implementation rather than from the appraiser/assessor point of view • Delivers a bird's eye view of the ISO and CMMI models, and describes necessary steps for attaining conformance to those models