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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.
This book is essential reading for any manager who has to make competitive decisions ? decisions which affect the competitive success of a corporation or business unit. The book is unique in that it is based on detailed research spanning a decade of dramatic competitive change. Thanks to the internet, globalization, technological and demographic change, the velocity of competition is increasing and competitive decisions have to be made faster. The book, however, shows that many senior managers are unprepared and unable to meet quite common competitive challenges even half the time. Moreover, many firms have developed cultures where people do not trust each other with information critical to competitive success. Employees can spend more time competing with one another for the bonus pool than dealing with the real competitive forces.This book will equip managers with the intelligence and knowledge they need to make good competitive decisions at all levels of the organization.
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.
Tested-in-the-trenches competitive intelligence techniques used at today's top companies This book brings together the best thinking and practices in competitive intelligence (CI) currently being used at many of today's most successful companies. Featuring contributions from leading industry executives, it covers CI strategies across a wide range of business functions, including marketing and sales, market research and forecasting, product development, and teams. The only book on the subject offering a comprehensive view of CI, from the CEO down to the tactical CI team Numerous case studies vividly illustrating cutting-edge CI techniques in action
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.
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.
Responding to the needs of market researchers, business analysts, CI professionals, and others who understand and use the online information resources of the Internet, Vibert provides a structured set of frameworks to help solve business problems fast, successfully, and in real time.
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.
The Definitive How-To Guide for Business and Competitive Analysis Transform raw data into compelling, actionable business recommendations Answer the questions executives ask—“What?” “So What?” and “Now What?” Today’s 24 most valuable techniques: how to choose them, how to use them For everyone who performs analysis: managers, consultants, functional specialists, and strategists A completely new book by the authors of the popular Strategic and Competitive Analysis Business success begins with deep clarity about your competition and your business environment. But, even as data gathering has improved dramatically, few business professionals know the state-of-the-art techniques for analyzing their data. Now there’s a comprehensive, immensely practical guide to today’s best tools and techniques for answering tough questions and making actionable recommendations. Business and Competitive Analysis begins with end-to-end guidance on the analysis process, including defining problems, avoiding analytical pitfalls, choosing tools, and communicating results. Next, the authors offer detailed guides on 24 of today’s most valuable analysis models: techniques that have never been brought together in one book before.They offer in-depth, step-by-step guidance for using every technique—along with realistic assessments of strengths, weaknesses, feasibility, and business value.