Student Workbook For Data Processing For Business And Management
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Student Workbook For Data Processing For Business And Management
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Author : Robert J. Thierauf
language : en
Publisher:
Release Date : 1972
Student Workbook For Data Processing For Business And Management written by Robert J. Thierauf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Business categories.
Template Analysis For Business And Management Students
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Author : Nigel King
language : en
Publisher: SAGE
Release Date : 2016-11-10
Template Analysis For Business And Management Students written by Nigel King and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Business & Economics categories.
In Template Analysis, Nigel King and Joanna Brookes guide you through the origins of template analysis and its place in qualitative research, its basic components, and the main strengths and limitations of this method. Practical case studies and examples from published research then guide you through how to use it in your own research project. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as a reference book for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.
Big Data Management And Processing
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2017-05-19
Big Data Management And Processing written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-19 with Business & Economics categories.
From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.
Research Methods And Data Analysis For Business Decisions
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Author : James E. Sallis
language : en
Publisher: Springer Nature
Release Date : 2021-10-30
Research Methods And Data Analysis For Business Decisions written by James E. Sallis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-30 with Business & Economics categories.
This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.
Research Design In Business And Management
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Author : Stefan Hunziker
language : en
Publisher: Springer Nature
Release Date : 2021-11-09
Research Design In Business And Management written by Stefan Hunziker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-09 with Business & Economics categories.
The present book project on Research Design, which is planned in English, is intended to create an innovative textbook that can be used at university undergraduate and graduate levels in internationally oriented education in the German-speaking countries. This textbook shall provide comprehensive guidance for students when tackling their (applied) research papers. Instead of reiterating qualitative and quantitative methods it focuses on how to come up with an appropriate research design that allows the student to make the intended intellectual contribution. Starting from the desired (hypothetical) conclusion or statement the student will be guided through the process of finding the appropriate Research Question that will be answered by such a statement and the required Research Design consisting of data collection and data analysis, that allows for such a statement as the conclusion of the study. Common Research Designs in Business and Management, i.e. well beyond the standard Research Designs of Social Sciences and curtailed to the focus area, will be described with regard to their suitability to answer specific kinds of questions as well as the idiosyncrasies of the these Designs and their impact on the written research reports. Examples for each Research Design will be provided as well as guidance about how to write about such research.
Oe Publication
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Author :
language : en
Publisher:
Release Date : 1966
Oe Publication written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with categories.
Blue Book
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Author :
language : en
Publisher: Legislative Reference Bureau
Release Date : 1981
Blue Book written by and has been published by Legislative Reference Bureau this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Wisconsin categories.
An Introduction To Data Analysis Using Ibm Spss
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Author : Lokesh Jasrai
language : en
Publisher: Taylor & Francis
Release Date : 2024-12-13
An Introduction To Data Analysis Using Ibm Spss written by Lokesh Jasrai and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Social Science categories.
This textbook elaborates on the basic understanding and application of statistical tests and data analysis using hypothetical datasets and SPSS version 22.0. It presents step-by-step processes and to-the-point interpretation for quick assimilation and comprehension. Data Analysis Using SPSS Begins with the stages of data entry and goes on till editing and data visualization. Takes the readers through descriptive statistics, frequency, univariate, bivariate and regression analysis, cross-tabulation, linear models and non-parametric test procedures. Presents information through dialog boxes and tabular charts, and also incorporates important formulae, calculations and illustrations of sample data for an in-depth understanding of concepts and results. Can be used as a textbook as well as a reference book as it helps to build conceptual understanding, gaining software skills, and communicates data and its insights to accomplish research assignments, research/capstone projects and PhD research work. With comprehensive coverage, this book would be useful to the students, researchers and teachers of the various social sciences disciplines like Psychology, Sociology, Education, Social Work, Agriculture Management and other allied subjects. It would also be an invaluable companion to professionals and data scientists working in the field of analytics.
Business Process Management
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Author : Akhil Kumar
language : en
Publisher: Routledge
Release Date : 2018-02-02
Business Process Management written by Akhil Kumar and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-02 with Business & Economics categories.
This book introduces students to business process management, an approach that aims to align the organization’s business processes with the demands of the marketplace. Processes serve as a coordination mechanism, and the aim of business process management is to improve the organization’s effectiveness and efficiency in adapting to change, and maintaining competitive advantage. In Business Process Management, Kumar argues for the value of looking at businesses as a collection of processes that cut across departments, and for breaking down functional silos. The book provides an overview of the basic concepts in this field before moving on to more advanced topics such as process verification, flexible processes, process security and evaluation, resource assignment, and social networks. The book concludes with an examination of the future directions of the discipline. Blending a strong grounding in current research with a focus on concepts and tools, Business Process Management is an accessible textbook full of practical examples and cases that will appeal to upper level students.
Applied Statistics For Business And Management Using Microsoft Excel
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Author : Linda Herkenhoff
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-26
Applied Statistics For Business And Management Using Microsoft Excel written by Linda Herkenhoff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-26 with Computers categories.
Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.