Making Sense Of Data And Information

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Making Sense of Data

Author : Glenn J. Myatt
Publisher : John Wiley & Sons
ISBN 13 : 0470101016
Total Pages : 294 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Making Sense of Data by : Glenn J. Myatt

Download or read book Making Sense of Data written by Glenn J. Myatt and published by John Wiley & Sons. This book was released on 2007-02-26 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical, step-by-step approach to making sense out of data Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data. Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including: * Problem definitions * Data preparation * Data visualization * Data mining * Statistics * Grouping methods * Predictive modeling * Deployment issues and applications Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data analysis or data mining project. From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relationships in the data, to making predictions from the data, Making Sense of Data addresses the many issues that need to be considered as well as the steps that need to be taken to master data analysis and mining.

Making Sense of Data in the Media

Author : Andrew Bell
Publisher : SAGE
ISBN 13 : 1526493004
Total Pages : 232 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Making Sense of Data in the Media by : Andrew Bell

Download or read book Making Sense of Data in the Media written by Andrew Bell and published by SAGE. This book was released on 2019-11-04 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of data produced, captured and transmitted through the media has never been greater. But for this data to be useful, it needs to be properly understood and claims made about or with data need to be properly scrutinized. Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims. How accurate are polls, and how should we know? How should league tables be read? Are numbers presented as ‘large’ really as big as they may seem at first glance? By answering these questions and more, readers will learn a number of statistical concepts central to many undergraduate social science statistics courses. By tying them in to real life examples, the importance and relevance of these concepts comes to life. As such, this book does more than teaches techniques needed for a statistics course; it teaches you life skills that we need to use every single day.

Making Sense of Data

Author : Donald J. Wheeler
Publisher : SPC Press, Incorporated
ISBN 13 : 9780945320616
Total Pages : 0 pages
Book Rating : 4.3/5 (26 download)

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Book Synopsis Making Sense of Data by : Donald J. Wheeler

Download or read book Making Sense of Data written by Donald J. Wheeler and published by SPC Press, Incorporated. This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the isues of Data Analysis and SPC in a service setting. Emphasis is give to three basic questions of quality improvement: What do you want to accomplish? By what method? How will you know? 130 Examples and Case Histories from real businesses are used to illustrate the concepts. Readers discover where to start, what to measure, how to measure it, how to understand the measurement.

Making Sense of Data and Statistics in Psychology

Author : Gerry Mulhern
Publisher : Bloomsbury Publishing
ISBN 13 : 0230357997
Total Pages : 320 pages
Book Rating : 4.2/5 (33 download)

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Book Synopsis Making Sense of Data and Statistics in Psychology by : Gerry Mulhern

Download or read book Making Sense of Data and Statistics in Psychology written by Gerry Mulhern and published by Bloomsbury Publishing. This book was released on 2017-09-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is one of the most useful elements of any psychology degree. This popular textbook will equip you with the tools needed not only to make sense of your own data and research, but also to think critically about the research and statistics you will encounter in everyday life. Features include: - Logical, intuitive organization of key statistical concepts and tests with an emphasis on understanding which test to use and why - Innovative graphic illustrations and insightful dialogues that help you to get to grips with statistics - Concise, easy-to-follow guidelines for making sense of SPSS - COverage of more complex tests and concepts for when you need to dig deeper Making Sense of Data and Statistics in Psychology will help you design experiments, analyse data with confidence and establish a solid grounding in statistics; it will become a valuable resource throughout your studies. Companion Site: www.palgrave.com/psychology/mulhern2e An innovative and easy-to-read introduction to understanding statistical concepts and data in Psychology, written with even the most maths-averse Psychology student in mind. Authored by the current president of the BPS (British Psychological Society), this second edition includes guidance for SPSS and extended statistical coverage to bridge the gap between conceptual understanding of data and how to run statistical tests. Confronts the challenge of teaching statistics The material is structured so that the reader revisits ideas at increasing levels of sophistication, building on their existing knowledge in order to develop their understanding of statistics. This book, grounded in the authors' research into the way students learn maths and statistics, provides a 'way in' to statistics for all Psychology undergraduates, from those who have studied Maths to A Level to those who find their statistics courses to be the most daunting of their university years. The authors emphasise the importance of developing a 'feel' for data, particularly through visual representation, before statistical tests are discussed in detail. Making extensive use of exploratory data analysis, the text emphasises conceptual understanding. Concepts are introduced and clearly explained, enabling the student to understand the foundations of data analysis in interpreting psychological research. There is an abundant use of examples from psychological research throughout, helping students to get to grips with different forms of data. Flexible approach Can easily be integrated into 'standard courses', but also used to support more mathematicallyorientated courses. Reinforces understanding Avoids the jargon that makes statistics so inaccessible to many Psychology students. Pedagogical features include Socratic dialogues between statisticsaverse students and their lecturers; 'Making Links' boxes to help students see the connections between basic and more complex tests; and innovative comprehension check boxes which encourage students to stop and think before reading on. A new feature, 'Making sense of SPSS', links this conceptual comprehension to the way students mostly carry out their statistical tests. Making Sense of Data and Statistics in Psychology ensures that students have a firm basis in the use of statistics that will serve them for life, not just for the duration of their statistics course.

Data Insights

Author : Hunter Whitney
Publisher : Newnes
ISBN 13 : 0123877946
Total Pages : 321 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Data Insights by : Hunter Whitney

Download or read book Data Insights written by Hunter Whitney and published by Newnes. This book was released on 2012-11-27 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Insights: New Ways to Visualize and Make Sense of Data offers thought-provoking insights into how visualization can foster a clearer and more comprehensive understanding of data. The book offers perspectives from people with different backgrounds, including data scientists, statisticians, painters, and writers. It argues that all data is useless, or misleading, if we do not know what it means.Organized into seven chapters, the book explores some of the ways that data visualization and other emerging approaches can make data meaningful and therefore useful. It also discusses some fundamental ideas and basic questions in the data lifecycle; the process of interactions between people, data, and displays that lead to better questions and more useful answers; and the fundamentals, origins, and purposes of the basic building blocks that are used in data visualization. The reader is introduced to tried and true approaches to understanding users in the context of user interface design, how communications can get distorted, and how data visualization is related to thinking machines. Finally, the book looks at the future of data visualization by assessing its strengths and weaknesses. Case studies from business analytics, healthcare, network monitoring, security, and games, among others, as well as illustrations, thought-provoking quotes, and real-world examples are included.This book will prove useful to computer professionals, technical marketing professionals, content strategists, Web and product designers, and researchers. Demonstrates, with a variety of case studies, how visualizations can foster a clearer and more comprehensive understanding of data Answers the question, "How can data visualization help me?" with discussions of how it fits into a wide array of purposes and situations Makes the case that data visualization is not just about technology; it also involves a deeply human process

Making Sense of Data I

Author : Glenn J. Myatt
Publisher : John Wiley & Sons
ISBN 13 : 1118422104
Total Pages : 320 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Making Sense of Data I by : Glenn J. Myatt

Download or read book Making Sense of Data I written by Glenn J. Myatt and published by John Wiley & Sons. This book was released on 2014-07-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition “...a well-written book on data analysis and data mining that provides an excellent foundation...” —CHOICE “This is a must-read book for learning practical statistics and data analysis...” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available TraceisTM software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.

Making Sense of Field Research

Author : Sheila Pontis
Publisher :
ISBN 13 : 9780415790031
Total Pages : 0 pages
Book Rating : 4.7/5 (9 download)

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Book Synopsis Making Sense of Field Research by : Sheila Pontis

Download or read book Making Sense of Field Research written by Sheila Pontis and published by . This book was released on 2018-07-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use field research to bring essential people-centred insights to your information design projects. If you're unsure about field research and how it might fit into a project, this book is for you. This text presents practical, easy- to-follow instructions for planning, designing, and conducting a field study, as well as guidance for making sense of field data and translating findings into action. Over 80 illustrations and 5 real-world case studies bring key principles and methods of field research to life. Whether you are designing a family of icons or a large-scale signage system, an instruction manual or an interactive data visualization, this book will guide you through the necessary steps to ensure you are meeting people's needs.

Making Sense of Sensors

Author : Omesh Tickoo
Publisher : Apress
ISBN 13 : 1430265930
Total Pages : 126 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Making Sense of Sensors by : Omesh Tickoo

Download or read book Making Sense of Sensors written by Omesh Tickoo and published by Apress. This book was released on 2016-12-30 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make the most of the common architectures used for deriving meaningful data from sensors. This book provides you with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field. Making Sense of Sensors starts with an overview of the general pipeline to extract meaningful data from sensors. It then dives deeper into some commonly used sensors and algorithms designed for knowledge extraction. Practical examples and pointers to more information are used to outline the key aspects of Multimodal recognition. The book concludes with a discussion on relationship extraction, knowledge representation, and management. In today’s world we are surrounded by sensors collecting various types of data about us and our environments. These sensors are the primary input devices for wearable computers, IoT, and other mobile devices. The information is presented in way that allows readers to associate the examples with their daily lives for better understanding of the concepts. What You'll Learn Look at the general architecture for sensor based data Understand how data from common domains such as inertial, visual and audio is processed Master multi-modal recognition using multiple heterogeneous sensors Transition from recognition to knowledge through relationship understanding between entities Leverage different methods and tools for knowledge representation and management Who This Book Is For New college graduates and professionals interested in acquiring knowledge and the skills to develop innovative solutions around today's sensor-rich devices.

The Data Detective

Author : Tim Harford
Publisher : Penguin
ISBN 13 : 0593084667
Total Pages : 337 pages
Book Rating : 4.5/5 (93 download)

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Book Synopsis The Data Detective by : Tim Harford

Download or read book The Data Detective written by Tim Harford and published by Penguin. This book was released on 2022-02-01 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.

Getting Started with Data Science

Author : Murtaza Haider
Publisher : IBM Press
ISBN 13 : 0133991237
Total Pages : 942 pages
Book Rating : 4.1/5 (339 download)

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Book Synopsis Getting Started with Data Science by : Murtaza Haider

Download or read book Getting Started with Data Science written by Murtaza Haider and published by IBM Press. This book was released on 2015-12-14 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.

Making Sense of Multivariate Data Analysis

Author : John Spicer
Publisher : SAGE
ISBN 13 : 9781412904018
Total Pages : 256 pages
Book Rating : 4.9/5 (4 download)

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Book Synopsis Making Sense of Multivariate Data Analysis by : John Spicer

Download or read book Making Sense of Multivariate Data Analysis written by John Spicer and published by SAGE. This book was released on 2005 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.

Guide to Intelligent Data Analysis

Author : Michael R. Berthold
Publisher : Springer Science & Business Media
ISBN 13 : 184882260X
Total Pages : 399 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Guide to Intelligent Data Analysis by : Michael R. Berthold

Download or read book Guide to Intelligent Data Analysis written by Michael R. Berthold and published by Springer Science & Business Media. This book was released on 2010-06-23 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.

Making Sense of Data

Author : Joseph Herbert Abramson
Publisher : Oxford University Press, USA
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Making Sense of Data by : Joseph Herbert Abramson

Download or read book Making Sense of Data written by Joseph Herbert Abramson and published by Oxford University Press, USA. This book was released on 1994 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-instructional manual on the interpretation and use of epidemiological data deals with the basic concepts and skills needed for the appraisal of published reports or one's own findings. Applications in clinical medicine, public health, community medicine, and research are all taken into consideration. This book is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with basic epidemiological tools. Basic concepts are presented in the first section, which also demonstrates the step-by-step assessment of data. The next section discusses rates and other simple measures, and the third shows how to judge their accuracy. The fourth and fifth sections deal with more complex issues of associations between variables and the appraisal of cause-effect relationships. The last section, which is entirely new, deals with meta-analysis (the critical review and integration of the findings of separate studies.) Its aim is to provide readers with the basic skills required for making sense of the results of a set of studies and for appraising published reports of meta-analyses and deciding whether to use their results.

Making Sense of Statistics

Author : Fred Pyrczak
Publisher : Taylor & Francis
ISBN 13 : 1351969870
Total Pages : 185 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Making Sense of Statistics by : Fred Pyrczak

Download or read book Making Sense of Statistics written by Fred Pyrczak and published by Taylor & Francis. This book was released on 2016-10-04 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: • An overview of descriptive and inferential statistics without formulas and computations. • Clear and to-the-point narrative makes this short book perfect for all courses in which statistics are discussed. • Helps statistics students who are struggling with the concepts. Shows them the meanings of the statistics they are computing. • This book is easy to digest because it is divided into short sections with review questions at the end of each section. • Running sidebars draw students’ attention to important concepts.

Making Sense of Qualitative Data

Author : Amanda Jane Coffey
Publisher : SAGE Publications, Incorporated
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Making Sense of Qualitative Data by : Amanda Jane Coffey

Download or read book Making Sense of Qualitative Data written by Amanda Jane Coffey and published by SAGE Publications, Incorporated. This book was released on 1996-04-03 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this practical book the authors highlight the range of approaches available to qualitative researchers by using a single data set which they analyze using a number of techniques.

Making Sense of Data II

Author : Glenn J. Myatt
Publisher : John Wiley & Sons
ISBN 13 : 0470222808
Total Pages : 325 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Making Sense of Data II by : Glenn J. Myatt

Download or read book Making Sense of Data II written by Glenn J. Myatt and published by John Wiley & Sons. This book was released on 2009-02-03 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, finance, and the social sciences. Following a comprehensive introduction that details how to define a problem, perform an analysis, and deploy the results, Making Sense of Data II addresses the following key techniques for advanced data analysis: Data Visualization reviews principles and methods for understanding and communicating data through the use of visualization including single variables, the relationship between two or more variables, groupings in data, and dynamic approaches to interacting with data through graphical user interfaces. Clustering outlines common approaches to clustering data sets and provides detailed explanations of methods for determining the distance between observations and procedures for clustering observations. Agglomerative hierarchical clustering, partitioned-based clustering, and fuzzy clustering are also discussed. Predictive Analytics presents a discussion on how to build and assess models, along with a series of predictive analytics that can be used in a variety of situations including principal component analysis, multiple linear regression, discriminate analysis, logistic regression, and Naïve Bayes. Applications demonstrates the current uses of data mining across a wide range of industries and features case studies that illustrate the related applications in real-world scenarios. Each method is discussed within the context of a data mining process including defining the problem and deploying the results, and readers are provided with guidance on when and how each method should be used. The related Web site for the series (www.makingsenseofdata.com) provides a hands-on data analysis and data mining experience. Readers wishing to gain more practical experience will benefit from the tutorial section of the book in conjunction with the TraceisTM software, which is freely available online. With its comprehensive collection of advanced data mining methods coupled with tutorials for applications in a range of fields, Making Sense of Data II is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who are interested in learning how to accomplish effective decision making from data and understanding if data analysis and data mining methods could help their organization.

Information, Systems and Information Systems

Author : Peter Checkland
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 284 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Information, Systems and Information Systems by : Peter Checkland

Download or read book Information, Systems and Information Systems written by Peter Checkland and published by John Wiley & Sons. This book was released on 1998 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information, Systems and Information Systems making sense of the field Peter Checkland and Sue Holwell Lancaster University, UK Science-based technology helps to shape our lives, and no technology is more powerful in this respect than that associated with information. But the emerging linked fields of information systems and information technology are still in a very confused state. There is a torrent of technical developments but the concepts which bring structure to the field and make sense of it lag behind. This book seeks to dispel that confusion, and aims to make sense of IS and IT as a whole. Conventional theory bears little relation to the experience most people have with computer-based systems in organizations. Based on real-world experiences in both the private and public sectors, this book from Peter Checkland and Sue Holwell tackles the subject afresh. Information, Systems and Information Systems provides a practice-based approach to the thinking needed to underpin provision of information support in organizations. Starting from fundamentals, the book develops a coherent account of the field. The book is thus a work of conceptual cleansing. It presents a well-argued and tested account of IS and IT which is both holistic and coherent. The sense-making models which emerge can encompass any particular assumptions about the nature of organizational reality and management, whether 'hard' functionalist or 'soft' interpretive ones, though the authors' sympathies are with the latter.