Decision Making With Digital Systems
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Decision Making With Digital Systems
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Author : Gregory A. Goodwin
language : en
Publisher:
Release Date : 2009
Decision Making With Digital Systems written by Gregory A. Goodwin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computer simulation categories.
Access to current, accurate battlefield information via the Army Battle Command System (ABCS), is supposed to improve decision making by leaders and commanders, but some research suggests that information systems may, paradoxically, have the opposite effect by overwhelming leaders with information or by emphasizing irrelevant information. There are currently no published reports examining the impact of ABCS systems on decision-making. This report is an effort to address this important research gap through an investigation of the ways the ABCS impacts decision-making by Army leaders at the Joint Readiness Training Center (JRTC). Observer/controllers (O/Cs) at JRTC reported that few units are fully trained to use their ABCS systems. Nevertheless, most units were able to leverage some system capabilities to accomplish mission objectives. The most common decision errors were the result of the availability heuristic (e.g., making a decision with incomplete information). Of the six decision errors examined, only two were reported to involve ABCS systems. O/Cs also indicated that when digital systems increased errors, it was due to improper use rather than the design of the system. Thus, the data suggest that these systems do not increase decision errors; however, their potential to reduce errors has not yet been fully realized by units training at JRTC.
Implementation And Benefits Of Digital Twin On Decision Making And Data Quality Management
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Author : Florian Blaschke
language : en
Publisher: Springer Nature
Release Date :
Implementation And Benefits Of Digital Twin On Decision Making And Data Quality Management written by Florian Blaschke and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Data Based Decision Making And Digital Transformation
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Author : Daniel J. Power
language : en
Publisher: Business Expert Press
Release Date : 2018-05-31
Data Based Decision Making And Digital Transformation written by Daniel J. Power and has been published by Business Expert Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-31 with Business & Economics categories.
Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey. This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organizational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed?
Digital Analytics
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Author : Jumin Kamki
language : en
Publisher: Notion Press
Release Date : 2017-02-07
Digital Analytics written by Jumin Kamki and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-07 with Education categories.
SALIENT FEATURES OF BOOK • Easy to understand language with simple real life examples. • Primarily focused on Ecommerce and Retail industry. • Stepwise explanation of very basic to the complex of the statistical analysis. • All examples are solved using R and Excel or both. • Step by Step description of Pentaho BI Implementation - ETL, Report, OLAP & Dashboard. • Comprehensive coverage of topics including Probability Theories, Operation Analytics, Digital Marketing, BI Implementation, Web Analytics, Forecasting, Customer Analytics & Optimization. Application focus on current Digital Analytics Practices.
Systems Of Insight For Digital Transformation Using Ibm Operational Decision Manager Advanced And Predictive Analytics
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Author : Whei-Jen Chen
language : en
Publisher: IBM Redbooks
Release Date : 2015-12-03
Systems Of Insight For Digital Transformation Using Ibm Operational Decision Manager Advanced And Predictive Analytics written by Whei-Jen Chen and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-03 with Computers categories.
Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. IBM Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage, and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments. This IBM Redbooks® publication explains the key concepts of systems of insight and how to implement a system of insight solution with examples. It is intended for IT architects and professionals who are responsible for implementing a systems of insights solution requiring event-based context pattern detection and deterministic decision services to enhance other analytics solution components with IBM Operational Decision Manager Advanced.
Decision Support Systems Xiii Decision Support Systems In An Uncertain World The Contribution Of Digital Twins
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Author : Shaofeng Liu
language : en
Publisher: Springer Nature
Release Date : 2023-05-17
Decision Support Systems Xiii Decision Support Systems In An Uncertain World The Contribution Of Digital Twins written by Shaofeng Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-17 with Computers categories.
This book constitutes the proceedings of the 9th International Conference on Decision Support Systems Technologies, ICDSST 2023, held during May 30 – June 1, 2023. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main theme of this year was “Decision Support Systems in An Uncertain World: The Contribution of Digital Twins”. The 21 papers presented in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: DSS models, methods, and tools; DSS for business performance and stakeholders; DSS applications for sustainability in health, energy and transportation; and DSS users and successful adoption.
Digital Decision Making
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Author : Ray Corrigan
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-05
Digital Decision Making written by Ray Corrigan 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 2007-07-05 with Computers categories.
Since the mid 1990s, when the general public began using the Internet, governments and commerce have made vast investments in digital communications technology. There has been confusion and sometimes controversy over these, for example the proposed UK identity card system. The far-reaching commercial and social implications of decisions made in invisible or opaque specialist fields should concern every citizen. This book argues that decisions should be based on an understanding of the systems, technology and environment within which they operate; that experts and ordinary people should work together; and that technology and law are evolving in restrictive rather than enabling ways.
Handbook On Decision Making
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Author : Chee Peng Lim
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-07
Handbook On Decision Making written by Chee Peng Lim 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 2010-09-07 with Technology & Engineering categories.
Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.
The Leading Practice Of Decision Making In Modern Business Systems
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Author : Elena G. Popkova
language : en
Publisher: Emerald Group Publishing
Release Date : 2019-12-02
The Leading Practice Of Decision Making In Modern Business Systems written by Elena G. Popkova and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-02 with Business & Economics categories.
Concentrating on the Russian model, this book reflects the leading practical experience of decision making in modern business systems and presents innovative technologies and perspectives to optimize this process.
Intelligent Decision Technologies 2018
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Author : Ireneusz Czarnowski
language : en
Publisher: Springer
Release Date : 2018-05-30
Intelligent Decision Technologies 2018 written by Ireneusz Czarnowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Technology & Engineering categories.
This book gathers the proceedings of the KES-IDT-2018 conference, held in Gold Coast, Queensland, Australia, on June 20–22, 2018 The conference provided opportunities to present and discuss the latest research results, promoting knowledge transfer and the generation of new ideas in the field of intelligent decision-making. The range of topics explored is wide, and includes methods for decision-making, decision support, data analysis, modeling and many more in areas such as finance, economics, management, engineering and transportation. The book contains several sections devoted to specific topics, such as: · Decision-Making Theory for Economics · Advances in Knowledge-based Statistical Data Analysis · On Knowledge-Based Digital Ecosystems & Technologies for Smart and Intelligent Decision Support Systems · Soft Computing Models in Industrial and Management Engineering · Computational Media Computing and its Applications · Intelligent Decision-Making Technologies · Digital Architectures and Decision Management