The Data WarehouseETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data, Ralph Kimball
Название: Best Practices in Data Cleaning ISBN: 1412988012 ISBN-13(EAN): 9781412988018 Издательство: Sage Publications Рейтинг: Цена: 4610 р. Наличие на складе: Поставка под заказ.
Описание: Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Описание: The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Method of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest. In addition, graduate students in science and engineering doing work of experimental nature can benefit from this book. Particularly, both linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed.
Описание: What makes some training programs successful while others produce disappointing results? The answer, says Ron Stone, lies in the processes trainers employ
to determine needs, design and develop programs, deliver the training, and partner to get business results. It is time to reexamine these processes, says the author, and bring them into
the twenty-first century. In "Aligning Training for Results", Stone provides a potent, comprehensive, and versatile resource to help guide trainers through assessing, designing, and
delivering training solutions that achieve real and measurable results.
"This excellent book makes it quite clear that your business has to focus on customer experience for 21st-century business success. It's more than refreshing to read the multiple case studies and well thought out approach and to hear the experienced voices of these authors. You've spent way too much time reading this endorsement. Read the book instead. It's so worth it." --Paul Greenberg, author of "CRM at the Speed of Light"
"To differentiate yourself and delight your customers, you must manage your customers' experience with your goods or services, and your company. This invaluable book will show you why you must do this, and how to do it well." --Henry Chesbrough, author of "Open Innovation" and Professor at the Haas School of Business, University of California Berkeley
"Technology advances are raising the human expectation of what an experience with a company can and should be. Finally, a book has been written that combines behavioral psychological, micro-economic, and technological considerations defining the customer experience edge." --Paul D'Alessandro, Partner, PricewaterhouseCoopers
"As we move from Customer Experience 1.0 to Customer Experience 2.0, organizations and practitioners need a solid blueprint for success. Reza, Vinay, and Volker have created a clear and concise guide based on global best practices and proven principles. If you are ready to transform your organization, start by reading this book." --Lior Arussy, President, Strativity Group, and author of "Customer Experience Strategy"
""The Customer Experience Edge" is an excellent book to gain insights on how to leverage customer experience as a competitive advantage. The case studies serve as recipes that can be added to, modified, or simply baked into business plans to improve or deliver an exceptional customer experience." --Deb Dexter, Customer Service Director, Cardinal Health
About the Book:
Globalization and advanced technologies have given ever greater power to the person who decides if your business will succeed or fail--the customer. Whether your company serves consumers or other businesses, you can no longer compete on price and quality alone. To gain profits and market share, you have to deliver an experience that makes customers want to come back--and that sets you apart from the competition. You need to seize "The Customer Experience Edge."
Drawing on over sixty years of experience in shaping customer centric strategies and technologies for leading companies, three innovators bring you practical and proven ways to create your customer experience programs and overall business strategies. The key is to strike a balance between programs that are effective but prohibitively expensive and programs that fail to dedicate enough resources to be effective. In the middle ground lie the tools that everyone overlooks--foundational and disruptive technologies. These are the authors' main fields of expertise, and these are what make the customer experience profitable.
"The Customer Experience Edge" explains how to combine strategy, leadership, organizational change, and technology to: Develop products and services that are highly valued by customersForm bonds that keep clients from turning to competitorsTransform customers into your best advocates
It's a new world of business, and customers are keenly aware that their loyalty is valuable currency. "The Customer Experience Edge" gives you a cost-effective, sustainable way to provide an unforgettable experience that builds loyalty and turns it into real, measurable profits.
Описание: This book offers peer-to-peer insights from leading practitioners who are experts in working with low carbon, renewable, and energy efficient technologies. A resource to dip into when asked to advise on sustinable building, it offers practical guidance on preparing for such projects, important points to note and common pitfalls to avoid. The book is based on interviews with practitioners who have hands-on experience of each technology and who have unique insight into the particular challenges for contractors working to deliver sustainable building projects. It covers the bckground to sustainable building; the practicalities - from energy managment to wate minimisation; and maintenance of existing buildings.Much guidance exists on sustaianble building but this is the first to speak directly to contractors - with guidance from fellow professionals who have dealt with real on-site challenges and who can offer practical advice based on experience. Many contractors are now faced with a business choice of offering services related to microgeneration/renewables and they must decide what technologies might be suitable for their businesses, and consider what level of training is required before they/their employees can start to work with these technologies. Delivering sustainable buildings: insights for contractors and installers will help contractors and facilities managers understand sustainable buildings at the strategic level (legislation, finance, training) and then to offer practical advice on various aspects of sustainable buildings (water use, energy efficient air conditioning, commissioning) to their clients.
Автор: Pryor Graham Название: Delivering Research Data Management Services ISBN: 1856049337 ISBN-13(EAN): 9781856049337 Издательство: Bookpoint Рейтинг: Цена: 10503 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Step-by-step guidance to setting up and running effective institutional research data management services to support researchers and networks. The research landscape is changing, with key global research funders now requiring institutions to demonstrate how they will preserve and share research data. However, the practice of structured research data management is very new, and the construction of services remains experimental and in need of models and standards of approach. This groundbreaking guide will lead researchers, institutions and policy makers through the processes needed to set up and run effective institutional research data management services. This ‘how to’ guide provides a step-by-step explanation of the components for an institutional service. Case studies from the newly emerging service infrastructures in the UK, USA and Australia draw out the lessons learnt. Different approaches are highlighted and compared; for example, a researcher-focused strategy from Australia is contrasted with a national, top-down approach, and a national research data management service is discussed as an alternative to institutional services. Key topics covered: Research data provision Options and approaches to research data management service provision A spectrum of roles, responsibilities and competences A pathway to sustainable research data services: from scoping to sustainability The range and components of RDM infrastructure and services. Case studies: Johns Hopkins University University of Southampton Monash University The UK Data Service Jisc Managing Research Data programmes. Readership: This book will be an invaluable guide to those entering a new and untried enterprise. It will be particularly relevant to heads of libraries, information technology managers, research support office staff and research directors planning for these types of services. It will also be of interest to researchers, funders and policy makers as a reference tool for understanding how shifts in policy will have a range of ramifications within institutions. Library and information science students will find it an informative window on an emerging area of practice.
Название: Cleaning Techniques Normandin ISBN: 1873394748 ISBN-13(EAN): 9781873394748 Издательство: Taylor&Francis Рейтинг: Цена: 3464 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Published as a special issue of the "Journal of Architectural Conservation", this book presents the research and developments in the cleaning of buildings, sculpture and monuments. It covers both wet and dry micro abrasive systems, other types of abrasives, laser cleaning methods and proprietary poultices for specialized applications.
Описание: Soil and groundwater pollution caused by contaminants including petroleum hydrocarbons, represents a serious threat to the environment in NATO and NATO Partner countries. This book comprises of the presentations made at the NATO Advanced Research Workshop held in Sinaia, Romania 9-11 October, 2006.
Описание: Offering a detailed, step-by-step guide to building a compliant cleaning validation program, Cleaning Validation: A Practical Approach covers trends in control, procedures, cleaning agents and tools, sampling techniques, analytical methods, and regulatory issues. The author provides practical examples, database formats, standard operating procedures, work instructions, protocols, and reports. He gives readers the tools they need to develop an effective and manageable program that will not only be acceptable to both US and non-US regulatory authorities but will conserve an organization's time, money, and people resources.
Автор: Tamraparni Dasu Название: Exploratory Data Mining and Data Cleaning ISBN: 0471268518 ISBN-13(EAN): 9780471268512 Издательство: Wiley Рейтинг: Цена: 13629 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This reference book develops a systematic process of data exploration, data cleaning and evolving a suitable modelling strategy to help analysts determine and implement a final technique.
Описание: The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process.
A comprehensive guide to automated statistical data cleaning
The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy.
Focuses on the automation of data cleaning methods, including both theory and applications written in R.
Enables the reader to design data cleaning processes for either one-off analytical purposes or for setting up production systems that clean data on a regular basis.
Explores statistical techniques for solving issues such as incompleteness, contradictions and outliers, integration of data cleaning components and quality monitoring.
Supported by an accompanying website featuring data and R code.
This book enables data scientists and statistical analysts working with data to deepen their understanding of data cleaning as well as to upgrade their practical data cleaning skills. It can also be used as material for a course in data cleaning and analyses.
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