Competitive Intelligence And Decision Problems
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| Author | : Amos David |
| Publisher | : John Wiley & Sons |
| Total Pages | : 373 |
| Release | : 2013-01-09 |
| Genre | : Computers |
| ISBN | : 1118586425 |
The development of a research, teaching, or application of competitive (economic) intelligence requires a strategic and transverse vision in regards to related issues. It is essential to integrate the role of culture when interpreting results, either from the training of a specialist or in respect to a country or region. The authors of this book, members of an expert group supported by the CNRS in France, bring all of their talents together to create a comprehensive book that does just this and more.
| Author | : Li Niu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 240 |
| Release | : 2009-09-14 |
| Genre | : Mathematics |
| ISBN | : 3642032079 |
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.
| Author | : Seena Sharp |
| Publisher | : John Wiley & Sons |
| Total Pages | : 304 |
| Release | : 2009-10-19 |
| Genre | : Business & Economics |
| ISBN | : 0470293179 |
A practical introduction to the necessity of competitive intelligence for smarter business decisions-from a leading CI expert and speaker In Competitive Intelligence Advantage, Seena Sharp, founder of one of the first Competitive Intelligence firms in the US, provides her expert analysis on the issues and benefits of CI for today's businesses. CI is critical for making smarter business decisions and reducing risks when formulating strategies, leading to more profits and fewer mistakes. This is a practical guide that explains what CI is, why data is not intelligence, why competitor intelligence is a weak sibling to competitive intelligence, when to use it, how to find the most useful information and turn it into actual intelligence, and how to present findings in the most convincing manner. Importantly, Sharp argues that businesses would benefit from shifting their perspective on CI from viewing it as a cost to viewing it as an investment that saves money and provides immediate value. Author Seena Sharp is a noted CI expert who established Sharp Market Intelligence in 1979 Addresses all the most common myths and misconceptions about CI Includes more than sixty examples of when to use CI Completely explains the ins and outs of CI, and why your company will act faster and more aggressively with CI Competitive intelligence is a management tool that is misunderstood and underestimated, yet results in numerous benefits. If you are a senior level executive or operate a business-and you aren't tapping the power of CI to improve your decision making-you are missing a potent advantage.
| Author | : Carlo Vercellis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 314 |
| Release | : 2011-08-10 |
| Genre | : Mathematics |
| ISBN | : 1119965470 |
Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.
| Author | : Dirk Jaap Vriens |
| Publisher | : IGI Global |
| Total Pages | : 319 |
| Release | : 2004-01-01 |
| Genre | : Computers |
| ISBN | : 1591401429 |
Competitive intelligence (CI) is about gathering and analyzing environmental information for strategic purposes. This work shows that to select the right information and communication technology (ICT) tools for CI, an organization needs to understand the role of ICT in the CI-process.
| Author | : Marinela Mircea |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 121 |
| Release | : 2012-02-01 |
| Genre | : Computers |
| ISBN | : 953510019X |
The work addresses to specialists in informatics, with preoccupations in development of Business Intelligence systems, and also to beneficiaries of such systems, constituting an important scientific contribution. Experts in the field contribute with new ideas and concepts regarding the development of Business Intelligence applications and their adoption in organizations. This book presents both an overview of Business Intelligence and an in-depth analysis of current applications and future directions for this technology. The book covers a large area, including methods, concepts, and case studies related to: constructing an enterprise business intelligence maturity model, developing an agile architecture framework that leverages the strengths of business intelligence, decision management and service orientation, adding semantics to Business Intelligence, towards business intelligence over unified structured and unstructured data using XML, density-based clustering and anomaly detection, data mining based on neural networks.
| Author | : Martin Kowalczyk |
| Publisher | : Springer |
| Total Pages | : 156 |
| Release | : 2017-08-22 |
| Genre | : Computers |
| ISBN | : 3658192305 |
In his research, Martin Kowalczyk empirically investigates the challenges of designing and establishing successful decision support with Business Intelligence and Analytics (BI&A). The results from his work elucidate organizational and individual perspectives of BI&A support in decision processes. The organizational perspective considers the processual aspects of decision making and addresses process phases, roles and their interactions. The individual perspective reflects upon decision making of human individuals including their cognition and behaviors involved in decision making. The support of managerial decision making with BI&A gains increasing priority for many businesses in their desire to achieve better decision outcomes and improved organizational performance.
| Author | : |
| Publisher | : Sine Metu Productions |
| Total Pages | : 171 |
| Release | : |
| Genre | : Business & Economics |
| ISBN | : 9197845094 |
| Author | : Dr. P. S. Aithal |
| Publisher | : Srinivas Publication, Mangalore |
| Total Pages | : 222 |
| Release | : 2024-02-09 |
| Genre | : Art |
| ISBN | : 9394676449 |
About the Book: A comprehensive book plan on "Data Science and Business Intelligence for Corporate Decision-Making" with 15 chapters, each with several sections: Chapter 1: Introduction to Data Science and Business Intelligence Chapter 2: Foundations of Data Science Chapter 3: Business Intelligence Tools and Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial Analytics and Business Intelligence Chapter 11: Operational Excellence through Data Analytics Chapter 12: Human Resources and People Analytics Chapter 13: Case Studies in Data-Driven Decision-Making Chapter 14: Future Trends in Data Science and Business Intelligence Chapter 15: Implementing Data Science Strategies in Corporations Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes.
| Author | : Vivek Kale |
| Publisher | : CRC Press |
| Total Pages | : 262 |
| Release | : 2017-10-05 |
| Genre | : Business & Economics |
| ISBN | : 149878478X |
"Vivek Kale has written a great book on performance management that focuses on decision-making; on continuous, incremental improvement; and on identifying common patterns in becoming a more intelligent organization." —James Taylor, CEO of Decision Management Solutions and author of Real-World Decision Modeling with DMN "Introducing the concepts of decision patterns and performance intelligence, Vivek Kale has written another important book on the issues faced by contemporary organizations."—Gary Cokins, author of Predictive Business Analytics and Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics Enterprise Performance Intelligence and Decision Patterns unravels the mystery of enterprise performance intelligence (EPI) and explains how it can transform the operating context of business enterprises. It provides a clear understanding of what EPI means, what it can do, and application areas where it is practical to use. The need to be responsive to evolving customer needs and desires creates organizational structures where business intelligence (BI) and decision making is pushed out to operating units that are closest to the scene of the action. Closed-loop decision making resulting from a combination of on-going performance management with on-going BI can lead to an effective responsive enterprise; hence, the need for performance intelligence (PI). This pragmatic book: Introduces the technologies such as data warehousing, data mining, analytics, and business intelligence systems that are a first step toward enabling data-driven enterprises. Details decision patterns and performance decision patterns that pave the road for performance intelligence applications. Introduces the concepts, principles, and technologies related to performance measurement systems. Describes the concepts and principles related to balance scorecard systems (BCS). Introduces aspects of performance intelligence for the real-time enterprises. Enterprise Performance Intelligence and Decision Patterns shows how a company can design and implement instruments ranging from decision patterns to PI systems that can enable continuous correction of business unit behavior so companies can enhance levels of productivity and profitability.
