Analytical Techniques for Decisionmaking PDF Download

Author: Martin E. O'Connor
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 40

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Author: Stankovi?, Jelena
Publisher: IGI Global
ISBN: 1522509607
Category : Business & Economics
Languages : en
Pages : 320

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Book Description
The success of any business relies heavily on the evaluation and improvement on current strategies and processes. Such progress can be facilitated by implementing more effective decision-making systems. Tools and Techniques for Economic Decision Analysis provides a thorough overview of decision models and methodologies in the context of business economics. Highlighting a variety of relevant issues on finance, economic policy, and firms and networks, this book is an ideal reference source for managers, professionals, students, and academics interested in emerging developments for decision analysis.

Author: Mik Wisniewski
Publisher: Pearson UK
ISBN: 1292276649
Category : Business & Economics
Languages : en
Pages : 955

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Book Description
Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: The use of real data sets to show how analytical techniques are used in practice “QADM in Action” case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual

Author: Simone Gressel
Publisher: SAGE
ISBN: 1529738288
Category : Business & Economics
Languages : en
Pages : 354

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Book Description
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

Author: Gregory S. Parnell
Publisher: John Wiley & Sons
ISBN: 0470934719
Category : Technology & Engineering
Languages : en
Pages : 427

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Book Description
Decision Making in Systems Engineering and Management is a comprehensive textbook that provides a logical process and analytical techniques for fact-based decision making for the most challenging systems problems. Grounded in systems thinking and based on sound systems engineering principles, the systems decisions process (SDP) leverages multiple objective decision analysis, multiple attribute value theory, and value-focused thinking to define the problem, measure stakeholder value, design creative solutions, explore the decision trade off space in the presence of uncertainty, and structure successful solution implementation. In addition to classical systems engineering problems, this approach has been successfully applied to a wide range of challenges including personnel recruiting, retention, and management; strategic policy analysis; facilities design and management; resource allocation; information assurance; security systems design; and other settings whose structure can be conceptualized as a system.

Author: David N. Ammons
Publisher: SAGE
ISBN: 1483304590
Category : Political Science
Languages : en
Pages : 367

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Book Description
Known for encouraging step-by-step problem solving and for connecting techniques to real-world scenarios, David Ammons’ Tools for Decision Making covers a wide range of local government practices—from the foundational to the advanced. Brief and readable, each chapter opens with a problem in a hypothetical city and then introduces a tool to address it. Thoroughly updated with new local government examples, the second edition also incorporates chapters devoted to such additional techniques as sampling analysis, sensitivity analysis, financial condition analysis, and forecasting via trend analysis. Numerous tables, figures, exhibits, equations, and worksheets walk readers through the application of tools, and boxed features throughout each chapter present other uses for techniques, helpful online resources, and common errors. A handy guide for students and an invaluable resource and reference for practitioners.

Author: Regina Duarte
Publisher: Elsevier
ISBN: 0128188960
Category : Science
Languages : en
Pages : 314

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Book Description
Multidimensional Analytical Techniques in Environmental Research is a comprehensive resource on the many multidimensional analytical strategies to qualitatively and quantitatively assess and map the organic and inorganic pollutants in complex atmospheric, water and soil matrices. During the past two decades, the rapidly-evolving field of analytical instrumentation has produced sophisticated multidimensional tools capable of providing unique and in-depth knowledge on the chemical features of complex mixtures from these different environmental matrices. This book brings together the wealth of information in the current literature, assisting in the decision-making process by covering both the fundamentals and applications of these methodologies. Sections cover the wide variety of multidimensional analytical techniques, including multidimensional solution- and solid-state nuclear magnetic resonance (NMR) spectroscopy, ultrahigh-resolution mass spectrometry (MS), two-dimensional correlation spectroscopy, two-dimensional liquid and gas chromatography and capillary electrophoresis coupled to high-resolution detection techniques, and excitation-emission (EEM) fluorescence spectroscopy assisted by multiway data analysis tools, and the use of synchrotron-radiation-based techniques combined with other spectroscopic approaches to explore and map the speciation of elements.

Author: HEMANT SINGH SENGAR SAURABH ASHWINIKUMAR DAVE BALACHANDAR RAMALINGAM OM GOEL
Publisher: DeepMisti Publication
ISBN: 9360446254
Category : Computers
Languages : en
Pages : 172

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Book Description
In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Big Data Analytics: Techniques, Tools, and Applications, is conceived to bridge the gap between emerging technological advancements in data analytics and their strategic application across industries. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of big data technologies and their integration into business practices. From foundational theories to advanced applications, we delve into the critical aspects that drive successful innovation in data-driven environments. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, managers, and industry professionals. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from technological development and big data adoption to the strategic management of innovation. Additionally, we emphasize the importance of effective communication, dedicating sections to the art of presenting innovative ideas and solutions in a precise and academically rigorous manner. The inspiration for this book arises from a recognition of the crucial role that big data analytics and management play in shaping the future of businesses. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how big data technologies can be harnessed to drive innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating innovative solutions that will define the future of data-driven enterprises. Thank you for joining us on this journey. Authors

Author: Richards J. Heuer
Publisher: CQ Press
ISBN: 1608710181
Category : Political Science
Languages : en
Pages : 361

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Book Description
This book takes the relatively new concept of structured analytic techniques and defines its place in a taxonomy of analytic methods. It describes 50 techniques divided into eight categories, each corresponding. to a book chapter. These techniques are especially needed in the field of intelligence analysis where analysts typically deal with incomplete, ambiguous and sometimes deceptive information.

Author: Cengiz Kahraman
Publisher: Springer
ISBN: 3030237567
Category : Technology & Engineering
Languages : en
Pages : 1386

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Book Description
This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.