Download Best Thinking In Business Analytics From The Decision Sciences Institute full books in PDF, epub, and Kindle. Read online Best Thinking In Business Analytics From The Decision Sciences Institute ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Best Thinking in Business Analytics from the Decision Sciences Institute by : Decision Sciences Institute. Merrill Warkentin
Download or read book Best Thinking in Business Analytics from the Decision Sciences Institute written by Decision Sciences Institute. Merrill Warkentin and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Today, business success depends on making great decisions – and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making. In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute, DSI has compiled award-winning and award-nominated contributions from its most recent conferences: papers that illuminate exceptionally high-value applications and research on analytics for decision-making. These papers have appeared in no other DSI collection. Explore them here, and you’ll discover powerful new opportunities for competitive advantage through analytics. For all business, academic, and organizational professionals concerned with the science of more effective decision-making; and for undergraduate students, graduate students, and certification candidates in all related fields.
Book Synopsis The Best Thinking in Business Analytics from the Decision Sciences Institute by : Decision Sciences Institute
Download or read book The Best Thinking in Business Analytics from the Decision Sciences Institute written by Decision Sciences Institute and published by FT Press. This book was released on 2015-08-18 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, business success depends on making great decisions – and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making. In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute, DSI has compiled award-winning and award-nominated contributions from its most recent conferences: papers that illuminate exceptionally high-value applications and research on analytics for decision-making. These papers have appeared in no other DSI collection. Explore them here, and you’ll discover powerful new opportunities for competitive advantage through analytics. For all business, academic, and organizational professionals concerned with the science of more effective decision-making; and for undergraduate students, graduate students, and certification candidates in all related fields.
Volume 12 presents studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting.
Book Synopsis Advances in Business and Management Forecasting by : Kenneth D. Lawrence
Download or read book Advances in Business and Management Forecasting written by Kenneth D. Lawrence and published by Emerald Group Publishing. This book was released on 2017-11-09 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 12 presents studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting.
NEW ADVANCES IN THE SCIENCE OF DECISION MAKING: Practical and relevant research from DSI, the field’s leading organization 14 OUTSTANDING PAPERS APPLYING RIGOROUS RESEARCH METHODS TO IMPORTANT SOCIETAL AND BUSINESS DECISION ENVIRONMENTS NEW OPPORTUNITIES TO IMPROVE PERFORMANCE IN STRATEGY, TACTICS, AND OPERATIONS FOR ALL DECISION MAKERS, AND ALL DECISION SCIENCE RESEARCHERS AND STUDENTS More than 1,000 papers were submitted to the Decision Science Institute’s 2015 annual conference. This book presents the 14 papers chosen as most insightful and useful. This peer-reviewed research addresses a richly diverse set of business topics, illuminating opportunities to improve decision making at strategic, tactical, and operational levels. Spanning analytics, information systems and technology, supply chain operations management, and other disciplines, these papers identify multiple opportunities for immediate and long-term performance improvement. The authors address challenges ranging from talent management to lean transformation, mobile app marketing to corporate ethics, driving change to predicting stock prices. Their work reflects both the intellectual vibrancy of the discipline of decision science and its immense practical value. Decision sciences research leads to improved decision outcomes. This volume brings together peer-reviewed papers chosen as “best of the best” by the field’s leading organization, the Decision Sciences Institute. Authored by respected researchers worldwide, these papers were presented at DSI’s 46th Annual Meeting in Seattle. They describe new methods and approaches in the decision sciences, with a special focus on translating theoretical impact into practical relevance to improve decision making within business, public policy, non-profit organizations, and beyond. Assess willingness to learn ERP systems based on knowledge update and other factors Exploit application integration to improve ERP’s value after implementation Discover how mobile users decide whether to search for and adopt a new app Quantify links between absenteeism and hostile environment/sexual harassment Assess correlations between employee development and worker outcomes Explore perceptions of change, intentions to leave, and the role of cynicism Promote lean transformation by evolving HR performance management systems Understand how links between corporate ethical values and firm performance are mediated Bring a global sourcing perspective to issues of ethical consumption Improve quality by choosing practices with the best cultural fit Use Multilayer Perceptron (MLP) and Bayesian Networks (BN) to predict diabetes Apply a comprehensive empirical framework for assessing patient care quality Promote sharing of clinical knowledge among a practice group’s physicians Forecast variable impacts in S&P 500 equity prices
Book Synopsis Models and Applications in the Decision Sciences by : Decision Sciences Institute
Download or read book Models and Applications in the Decision Sciences written by Decision Sciences Institute and published by FT Press. This book was released on 2015-12-17 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW ADVANCES IN THE SCIENCE OF DECISION MAKING: Practical and relevant research from DSI, the field’s leading organization 14 OUTSTANDING PAPERS APPLYING RIGOROUS RESEARCH METHODS TO IMPORTANT SOCIETAL AND BUSINESS DECISION ENVIRONMENTS NEW OPPORTUNITIES TO IMPROVE PERFORMANCE IN STRATEGY, TACTICS, AND OPERATIONS FOR ALL DECISION MAKERS, AND ALL DECISION SCIENCE RESEARCHERS AND STUDENTS More than 1,000 papers were submitted to the Decision Science Institute’s 2015 annual conference. This book presents the 14 papers chosen as most insightful and useful. This peer-reviewed research addresses a richly diverse set of business topics, illuminating opportunities to improve decision making at strategic, tactical, and operational levels. Spanning analytics, information systems and technology, supply chain operations management, and other disciplines, these papers identify multiple opportunities for immediate and long-term performance improvement. The authors address challenges ranging from talent management to lean transformation, mobile app marketing to corporate ethics, driving change to predicting stock prices. Their work reflects both the intellectual vibrancy of the discipline of decision science and its immense practical value. Decision sciences research leads to improved decision outcomes. This volume brings together peer-reviewed papers chosen as “best of the best” by the field’s leading organization, the Decision Sciences Institute. Authored by respected researchers worldwide, these papers were presented at DSI’s 46th Annual Meeting in Seattle. They describe new methods and approaches in the decision sciences, with a special focus on translating theoretical impact into practical relevance to improve decision making within business, public policy, non-profit organizations, and beyond. Assess willingness to learn ERP systems based on knowledge update and other factors Exploit application integration to improve ERP’s value after implementation Discover how mobile users decide whether to search for and adopt a new app Quantify links between absenteeism and hostile environment/sexual harassment Assess correlations between employee development and worker outcomes Explore perceptions of change, intentions to leave, and the role of cynicism Promote lean transformation by evolving HR performance management systems Understand how links between corporate ethical values and firm performance are mediated Bring a global sourcing perspective to issues of ethical consumption Improve quality by choosing practices with the best cultural fit Use Multilayer Perceptron (MLP) and Bayesian Networks (BN) to predict diabetes Apply a comprehensive empirical framework for assessing patient care quality Promote sharing of clinical knowledge among a practice group’s physicians Forecast variable impacts in S&P 500 equity prices
Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. This new volume brings together the peer-reviewed papers that have been chosen as the "best of the best" by the field's leading organization, the Decision Sciences Institute. These papers, authored by respected decision science researchers and academics from around the world, will be presented at DSI's 45th Annual Meeting in Tampa, Florida in November 2014. The first book of papers ever assembled by DSI, this volume describes recent methods and approaches in the decision sciences, with a special focus on how accelerating technological innovation is driving change in the ways organizations and individuals make decisions. These papers offer actionable insights for decision-makers of all kinds, in business, public policy, non-profit organizations, and beyond. They also point to new research directions for academic researchers in decision science worldwide.
Book Synopsis Trends and Research in the Decision Sciences by : Decision Sciences Institute. Annual Meeting
Download or read book Trends and Research in the Decision Sciences written by Decision Sciences Institute. Annual Meeting and published by Pearson Education. This book was released on 2015 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. This new volume brings together the peer-reviewed papers that have been chosen as the "best of the best" by the field's leading organization, the Decision Sciences Institute. These papers, authored by respected decision science researchers and academics from around the world, will be presented at DSI's 45th Annual Meeting in Tampa, Florida in November 2014. The first book of papers ever assembled by DSI, this volume describes recent methods and approaches in the decision sciences, with a special focus on how accelerating technological innovation is driving change in the ways organizations and individuals make decisions. These papers offer actionable insights for decision-makers of all kinds, in business, public policy, non-profit organizations, and beyond. They also point to new research directions for academic researchers in decision science worldwide.
The papers in Common Disciplines that Separate Us consider classic problems in decision sciences through new lenses, reflecting the crucial role of local contexts in a globally connected and standardized world. Presented at the Fourth Annual Conference of the European Decision Sciences Institute (EDSI) in 2013, this important research embraces the duality of globally determined local contexts, offering new insights into decision-making in all venues and sectors of society. This new volume's papers focus on optimizing decision-making related to: Strengthening national economic competitiveness Reforming the public sector and higher education Deploying information technology more effectively throughout government Making healthcare policy that achieves better outcomes at lower cost Analyzing social networks Improving processes via data visualization, modeling, and simulation Gaining more value from enterprise business intelligence Offshoring, nearshoring, "right shoring, " and other key manufacturing decisions Improving supply chain performance And much more.--
Book Synopsis Research in the Decision Sciences for Global Business by : European Decision Sciences Institute
Download or read book Research in the Decision Sciences for Global Business written by European Decision Sciences Institute and published by Pearson Education. This book was released on 2015 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in Common Disciplines that Separate Us consider classic problems in decision sciences through new lenses, reflecting the crucial role of local contexts in a globally connected and standardized world. Presented at the Fourth Annual Conference of the European Decision Sciences Institute (EDSI) in 2013, this important research embraces the duality of globally determined local contexts, offering new insights into decision-making in all venues and sectors of society. This new volume's papers focus on optimizing decision-making related to: Strengthening national economic competitiveness Reforming the public sector and higher education Deploying information technology more effectively throughout government Making healthcare policy that achieves better outcomes at lower cost Analyzing social networks Improving processes via data visualization, modeling, and simulation Gaining more value from enterprise business intelligence Offshoring, nearshoring, "right shoring, " and other key manufacturing decisions Improving supply chain performance And much more.--
Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.
Book Synopsis Decision Support Systems for Business Intelligence by : Vicki L. Sauter
Download or read book Decision Support Systems for Business Intelligence written by Vicki L. Sauter and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.
Download or read book Business written by 布卢姆斯伯里出版公司 and published by 中信出版社. This book was released on 2003 with total page 2176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 责任者取自版权页。
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
Book Synopsis Data Science for Business by : Foster Provost
Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
A Wall Street Journal bestseller, now in paperback. Poker champion turned decision strategist Annie Duke teaches you how to get comfortable with uncertainty and make better decisions. Even the best decision doesn't yield the best outcome every time. There's always an element of luck that you can't control, and there's always information hidden from view. So the key to long-term success (and avoiding worrying yourself to death) is to think in bets: How sure am I? What are the possible ways things could turn out? What decision has the highest odds of success? Did I land in the unlucky 10% on the strategy that works 90% of the time? Or is my success attributable to dumb luck rather than great decision making? Annie Duke, a former World Series of Poker champion turned consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. For most people, it's difficult to say "I'm not sure" in a world that values and, even, rewards the appearance of certainty. But professional poker players are comfortable with the fact that great decisions don't always lead to great outcomes, and bad decisions don't always lead to bad outcomes. By shifting your thinking from a need for certainty to a goal of accurately assessing what you know and what you don't, you'll be less vulnerable to reactive emotions, knee-jerk biases, and destructive habits in your decision making. You'll become more confident, calm, compassionate, and successful in the long run.
Book Synopsis Thinking in Bets by : Annie Duke
Download or read book Thinking in Bets written by Annie Duke and published by Penguin. This book was released on 2019-05-07 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Wall Street Journal bestseller, now in paperback. Poker champion turned decision strategist Annie Duke teaches you how to get comfortable with uncertainty and make better decisions. Even the best decision doesn't yield the best outcome every time. There's always an element of luck that you can't control, and there's always information hidden from view. So the key to long-term success (and avoiding worrying yourself to death) is to think in bets: How sure am I? What are the possible ways things could turn out? What decision has the highest odds of success? Did I land in the unlucky 10% on the strategy that works 90% of the time? Or is my success attributable to dumb luck rather than great decision making? Annie Duke, a former World Series of Poker champion turned consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. For most people, it's difficult to say "I'm not sure" in a world that values and, even, rewards the appearance of certainty. But professional poker players are comfortable with the fact that great decisions don't always lead to great outcomes, and bad decisions don't always lead to bad outcomes. By shifting your thinking from a need for certainty to a goal of accurately assessing what you know and what you don't, you'll be less vulnerable to reactive emotions, knee-jerk biases, and destructive habits in your decision making. You'll become more confident, calm, compassionate, and successful in the long run.
