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Author: Margaret E. Henderson
Publisher: Rowman & Littlefield
ISBN: 144226439X
Category : Language Arts & Disciplines
Languages : en
Pages : 215
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Book Description
Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: Understanding data management basics and best practices. Using the reference interview to help with data management Writing data management plans for grants. Starting and growing a data management service. Finding collaborators inside and outside the library. Collecting and using data in different disciplines.
Author: Margaret E. Henderson
Publisher: Rowman & Littlefield
ISBN: 144226439X
Category : Language Arts & Disciplines
Languages : en
Pages : 215
Get Book Here
Book Description
Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: Understanding data management basics and best practices. Using the reference interview to help with data management Writing data management plans for grants. Starting and growing a data management service. Finding collaborators inside and outside the library. Collecting and using data in different disciplines.
Author: Susanne Prokscha
Publisher: CRC Press
ISBN: 1439848319
Category : Computers
Languages : en
Pages : 278
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Book Description
The management of clinical data, from its collection during a trial to its extraction for analysis, has become a critical element in the steps to prepare a regulatory submission and to obtain approval to market a treatment. Groundbreaking on its initial publication nearly fourteen years ago, and evolving with the field in each iteration since then,
Author: Sholom M. Weiss
Publisher: Morgan Kaufmann
ISBN: 9781558604032
Category : Computers
Languages : en
Pages : 244
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Book Description
This book is the first technical guide to provide a complete, generalized road map for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.
Author: James Hannan
Publisher: Pennsauken, N.J. : Auerbach Publishers ; New York : Van Nostrand Reinhold Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 188
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Book Description
Author: Wilfried Lemahieu
Publisher: Cambridge University Press
ISBN: 1107186129
Category : Computers
Languages : en
Pages : 817
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Book Description
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Author: Rashid N. Khan
Publisher:
ISBN: 9780929652320
Category : Executive ability
Languages : en
Pages : 0
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Book Description
"This book is for CEOs, EVPs, directors and the senior executive management of companies interested in improving business processes in their enterprise, and considering investing in BPM, workflow automation, EAI or related collaborative technologies. Line-of-business managers concerned with improving efficiencies through business process automation. CIOs, application software managers and network managers of companies seeking better, faster and easier ways to respond to needs of their internal and external customers. CTOs of business software and e-commerce companies interested in incorporating BPM and process automation to differentiate their products and services and increasing the value proposition to their customers. Business process and Six Sigma practitioners and consultants interested in new solutions and technologies to improve the productivity of their corporate clients. Members of the investment community interested in understanding the dynamics of the burgeoning BPM market. MIS and IT educators interested in imparting knowledge about this vital software category, and their students." -- Publisher.
Author: Ron S. Kenett
Publisher: John Wiley & Sons
ISBN: 1119956722
Category : Business & Economics
Languages : en
Pages : 339
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Book Description
Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of "near-misses" data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.
Author: Gregory H. Duckert
Publisher: John Wiley & Sons
ISBN: 0470892536
Category : Business & Economics
Languages : en
Pages : 254
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Book Description
The most practical and sensible way to implement ERM-while avoiding all of the classic mistakes Emphasizing an enterprise risk management approach that utilizes actual business data to estimate the probability and impact of key risks in an organization, Practical Enterprise Risk Management: A Business Process Approach boils this topic down to make it accessible to both line managers and high level executives alike. The key lessons involve basing risk estimates and prevention techniques on known quantities rather than subjective estimates, which many popular ERM methodologies consist of. Shows readers how to look at real results and actual business processes to get to the root cause of key risks Explains how to manage risks based on an understanding of the problem rather than best guess estimates Emphasizes a focus on potential outcomes from existing processes, as well as a look at actual outcomes over time Throughout, practical examples are included from various healthcare, manufacturing, and retail industries that demonstrate key concepts, implementation guidance to get started, as well as tables of risk indicators and metrics, physical structure diagrams, and graphs.
Author: David J. Livingstone
Publisher: John Wiley & Sons
ISBN: 047068481X
Category : Science
Languages : en
Pages : 358
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Book Description
Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the application of mathematical and statistical techniques and the interpretation of their results. Covering the most common statistical methods for examining and exploring relationships in data, the text includes extensive examples from a variety of scientific disciplines. The chapters are organised logically, from planning an experiment, through examining and displaying the data, to constructing quantitative models. Each chapter is intended to stand alone so that casual users can refer to the section that is most appropriate to their problem. Written by a highly qualified and internationally respected author this text: Presents statistics for the non-statistician Explains a variety of methods to extract information from data Describes the application of statistical methods to the design of “performance chemicals” Emphasises the application of statistical techniques and the interpretation of their results Of practical use to chemists, biochemists, pharmacists, biologists and researchers from many other scientific disciplines in both industry and academia.
Author: Robin Gregory
Publisher: John Wiley & Sons
ISBN: 1444333410
Category : Mathematics
Languages : en
Pages : 315
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Book Description
This book outlines the creative process of making environmental management decisions using the approach called Structured Decision Making. It is a short introductory guide to this popular form of decision making and is aimed at environmental managers and scientists. This is a distinctly pragmatic label given to ways for helping individuals and groups think through tough multidimensional choices characterized by uncertain science, diverse stakeholders, and difficult tradeoffs. This is the everyday reality of environmental management, yet many important decisions currently are made on an ad hoc basis that lacks a solid value-based foundation, ignores key information, and results in selection of an inferior alternative. Making progress – in a way that is rigorous, inclusive, defensible and transparent – requires combining analytical methods drawn from the decision sciences and applied ecology with deliberative insights from cognitive psychology, facilitation and negotiation. The authors review key methods and discuss case-study examples based in their experiences in communities, boardrooms, and stakeholder meetings. The goal of this book is to lay out a compelling guide that will change how you think about making environmental decisions. Visit www.wiley.com/go/gregory/ to access the figures and tables from the book.
