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Cognition-Driven Decision Support for Business Intelligence

Cognition-Driven Decision Support for Business Intelligence
Author: Li Niu
Publisher: Springer Science & Business Media
Total Pages: 240
Release: 2009-09-14
Genre: Mathematics
ISBN: 3642032079
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Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor. This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger’s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and two illustrative applications of this system are discussed.

Cognition-Driven Decision Support for Business Intelligence

Cognition-Driven Decision Support for Business Intelligence
Author: Li Niu
Publisher: Springer
Total Pages: 240
Release: 2009-09-30
Genre: Technology & Engineering
ISBN: 3642032087
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Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor. This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger’s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and two illustrative applications of this system are discussed.

Evidence-Based Decision-Making

Evidence-Based Decision-Making
Author: Andrew D. Banasiewicz
Publisher: Routledge
Total Pages: 270
Release: 2019-03-04
Genre: Business & Economics
ISBN: 1351050052
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Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases examines how a wide range of factual evidence, primarily derived from a variety of data available to organizations, can be used to improve the quality of business decision-making, by helping decision makers circumvent the various cognitive biases that adversely impact how we all think. The book is built on the following premise: During the past decade, the new ‘data world’ emerged, in which the rush to develop competencies around business analytics and data science can be characterized as nothing less than the new commercial arms race. The ever-expanding volume and variety of data are well known, as are the great advances in data processing/analytics, data visualization, and related information production-focused capabilities. Yet, comparatively little effort has been devoted to how the informational products of business analytics and data science are ‘consumed’ or used in the organizational decision-making processes, as the available evidence shows that only some of that information is used to drive some business decisions some of the time. Evidence-Based Decision-Making details an explicit process describing how the universe of available and applicable evidence, which includes organizational and other data, industry benchmarks, scientific studies, and professional experience, can be assessed, amalgamated, and funneled into an objective driver of key business decisions. Introducing key concepts in relation to data and evidence, and the history of evidence-based management, this new and extremely topical book will be essential reading for researchers and students of data analytics as well as those working in the private and public sectors, and in the voluntary sector.

Intelligent Decision and Policy Making Support Systems

Intelligent Decision and Policy Making Support Systems
Author: Da Ruan
Publisher: Springer Science & Business Media
Total Pages: 320
Release: 2008-04-24
Genre: Computers
ISBN: 3540783067
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This edited book reports recent research results and provides a state-of-the-art on intelligent decision support systems applications, lessons learned and future research directions. The book covers a balanced mixture of theory and practice, including new methods and developments of intelligent decision support systems applications in Society and Policy Support. Its main objective is to gather a peer-reviewed collection of high quality contributions in the relevant topic areas.

Digital Transformation, Strategic Resilience, Cyber Security and Risk Management

Digital Transformation, Strategic Resilience, Cyber Security and Risk Management
Author: Kiran Sood
Publisher: Emerald Group Publishing
Total Pages: 195
Release: 2023-09-28
Genre: Business & Economics
ISBN: 1837970106
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Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance.

Applying Business Intelligence Initiatives in Healthcare and Organizational Settings

Applying Business Intelligence Initiatives in Healthcare and Organizational Settings
Author: Miah, Shah J.
Publisher: IGI Global
Total Pages: 384
Release: 2018-07-13
Genre: Business & Economics
ISBN: 1522557199
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Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Applying Business Intelligence Initiatives in Healthcare and Organizational Settings incorporates emerging concepts, methods, models, and relevant applications of business intelligence systems within problem contexts of healthcare and other organizational boundaries. Featuring coverage on a broad range of topics such as rise of embedded analytics, competitive advantage, and strategic capability, this book is ideally designed for business analysts, investors, corporate managers, and entrepreneurs seeking to advance their understanding and practice of business intelligence.

Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering

Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 1538
Release: 2021-05-28
Genre: Business & Economics
ISBN: 1799890244
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Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.

Encyclopedia of Data Science and Machine Learning

Encyclopedia of Data Science and Machine Learning
Author: Wang, John
Publisher: IGI Global
Total Pages: 3296
Release: 2023-01-20
Genre: Computers
ISBN: 1799892212
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Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Research Anthology on Small Business Strategies for Success and Survival

Research Anthology on Small Business Strategies for Success and Survival
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 1496
Release: 2021-06-25
Genre: Business & Economics
ISBN: 1799891569
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Running a small business provides opportunity for greater success, increased growth, and potentially the chance to move to the global business arena, yet also much more risk. Small businesses not only have less employment, but also less annual revenue than a regular-sized business. With the growth of large corporations and chain businesses, it has become harder to maintain the survival of a small business. The COVID-19 pandemic has also brought more pressure onto the already unsteady survival of small businesses, due to forced closures, decreased agility, fewer technological innovations, and smaller customer bases. The Research Anthology on Small Business Strategies for Success and Survival offers current strategies for small businesses that can be utilized in order to maintain equal footing during challenging times. With the proper strategies available to small business owners, small businesses could not only survive, but also excel despite the environment that surrounds them. Covering topics including decision management, new supportive technologies, sustainable development, and micro-financing, this text is ideal for small business owners, entrepreneurs, startup companies, family-owned and operated businesses, restaurateurs, local retailers, managers, executives, academicians, researchers, and students.

Handbook on Decision Making

Handbook on Decision Making
Author: Jie Lu
Publisher: Springer Science & Business Media
Total Pages: 457
Release: 2012-03-15
Genre: Technology & Engineering
ISBN: 3642257550
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This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.