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Quest for Quality Data by Philippe Theys,Gerald Brace,Gregoire Sevadjian Pdf
The Digital Oilfield is the buzzword of the oil industry in these early years of the 21st century.Data swiftly flows to databases, moves around the world at the speed of light and can be exchanged seamlessly between all stakeholders. From time to time, for good housekeeping, data is cleansed. Many people are involved in these intermediate or final steps.But, who cares about the real sources of oilfield data, seismic profiles, wirelines and LWD logs, drilling data and core measurements? This book expresses the real concerns about input data. It explains the inherent weaknesses of the oilfield data acquisition processes and gives recommendations on how to improve them. This quest goes through the paths of uncertainty management and elucidates the important role of the field engineers.
The Quest for Quality in the NHS by Sheila T. Leatherman,Kim Sutherland Pdf
Quality is an issue of central importance in the NHS and yet, despite a considerable number of initiatives, programmes and organisations that have focussed on improving quality in the NHS over recent years, there is no comprehensive, reliable balanced and rigorous account of the strengths and weaknesses in healthcare delivery. This book provides ......
Statistics and the Quest for Quality Journalism by Alessandro Martinisi,Jairo Alfonso Lugo-Ocando Pdf
This book looks at how numbers and statistics have been used to underpin quality in news reporting. In doing so, the aim is to challenge some common assumptions about how journalists engage and use statistics in their quest for quality news. It seeks to improve our understanding about the usage of data and statistics as a primary means for the construction of social reality. This is a task, in our view, that is urgent in times of ‘post-truth’ politics and the rise of ‘fake news’. In this sense, the quest to produce ‘quality’ news, which seems to require incorporating statistics and engaging with data, as laudable and straightforward as it sounds, is instead far more problematic and complex than what is often accounted for.
The Quest for Quality sets out the basis for a systematic approach to higher education, asking questions such as why is it so difficult to define quality? Throughout the book the author offers grist for discussion wherever aims are being examined.
Statistics and the Quest for Quality Journalism by Alessandro Martinisi,Jairo Alfonso Lugo-Ocando Pdf
This book looks at how numbers and statistics have been used to underpin quality in news reporting. In doing so, the aim is to challenge some common assumptions about how journalists engage and use statistics in their quest for quality news. It seeks to improve our understanding about the usage of data and statistics as a primary means for the construction of social reality. This is a task, in our view, that is urgent in times of ‘post-truth’ politics and the rise of ‘fake news’. In this sense, the quest to produce ‘quality’ news, which seems to require incorporating statistics and engaging with data, as laudable and straightforward as it sounds, is instead far more problematic and complex than what is often accounted for.
Executing Data Quality Projects by Danette McGilvray Pdf
Information is currency. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. In this important and timely new book, Danette McGilvray presents her “Ten Steps approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach—in which she has trained Fortune 500 clients and hundreds of workshop attendees—applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of the “Ten Steps approach. * Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices. * A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from the Ten Step methodology, and other tools and information available online.
The Quest for Quality by Lewis B. Mayhew,Patrick J. Ford,Dean L. Hubbard Pdf
Part 1: Forces affecting quality in undergraduate education -- The challenges to educational quality since World War II -- Current perspectives on academic quality -- The undergraduate curriculum and general education -- Part 2: An agenda for strengthening academic quality -- Reforming the curriculum -- Streamlining extracurricular services -- Maintaining a high-quality professoriate -- Foresting competent teaching -- Strengthening academic leadership -- Rethinking decision-making roles and authority -- Part 3: Monitoring quality -- The role of accreditation -- Governing boards and coordinating agencies -- Strengthening undergraduate education: a national imperative.
Executing Data Quality Projects by Danette McGilvray Pdf
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today’s data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization’s standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach Contains real examples from around the world, gleaned from the author’s consulting practice and from those who implemented based on her training courses and the earlier edition of the book Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
