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Author: Cai-Nicolas Ziegler
Publisher: Springer
ISBN: 3642277144
Category : Technology & Engineering
Languages : en
Pages : 215
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Book Description
The textbook at hand aims to provide an introduction to the use of automated methods for gathering strategic competitive intelligence. Hereby, the text does not describe a singleton research discipline in its own right, such as machine learning or Web mining. It rather contemplates an application scenario, namely the gathering of knowledge that appears of paramount importance to organizations, e.g., companies and corporations. To this end, the book first summarizes the range of research disciplines that contribute to addressing the issue, extracting from each those grains that are of utmost relevance to the depicted application scope. Moreover, the book presents systems that put these techniques to practical use (e.g., reputation monitoring platforms) and takes an inductive approach to define the gestalt of mining for competitive strategic intelligence by selecting major use cases that are laid out and explained in detail. These pieces form the first part of the book. Each of those use cases is backed by a number of research papers, some of which are contained in its largely original version in the second part of the monograph.
Author: Cai-Nicolas Ziegler
Publisher: Springer
ISBN: 3642277144
Category : Technology & Engineering
Languages : en
Pages : 215
Get Book Here
Book Description
The textbook at hand aims to provide an introduction to the use of automated methods for gathering strategic competitive intelligence. Hereby, the text does not describe a singleton research discipline in its own right, such as machine learning or Web mining. It rather contemplates an application scenario, namely the gathering of knowledge that appears of paramount importance to organizations, e.g., companies and corporations. To this end, the book first summarizes the range of research disciplines that contribute to addressing the issue, extracting from each those grains that are of utmost relevance to the depicted application scope. Moreover, the book presents systems that put these techniques to practical use (e.g., reputation monitoring platforms) and takes an inductive approach to define the gestalt of mining for competitive strategic intelligence by selecting major use cases that are laid out and explained in detail. These pieces form the first part of the book. Each of those use cases is backed by a number of research papers, some of which are contained in its largely original version in the second part of the monograph.
Author: Cai-Nicolas Ziegler
Publisher: Springer Science & Business Media
ISBN: 3642277136
Category : Computers
Languages : en
Pages : 215
Get Book Here
Book Description
The textbook at hand aims to provide an introduction to the use of automated methods for gathering strategic competitive intelligence. Hereby, the text does not describe a singleton research discipline in its own right, such as machine learning or Web mining. It rather contemplates an application scenario, namely the gathering of knowledge that appears of paramount importance to organizations, e.g., companies and corporations. To this end, the book first summarizes the range of research disciplines that contribute to addressing the issue, extracting from each those grains that are of utmost relevance to the depicted application scope. Moreover, the book presents systems that put these techniques to practical use (e.g., reputation monitoring platforms) and takes an inductive approach to define the gestalt of mining for competitive strategic intelligence by selecting major use cases that are laid out and explained in detail. These pieces form the first part of the book. Each of those use cases is backed by a number of research papers, some of which are contained in its largely original version in the second part of the monograph.
Author: Dinko Herman Boikanyo
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 236
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Book Description
Strategy -- Strategic management -- Strategic intelligence -- Business intelligence -- Competitive intelligence -- Marketing intelligence -- Knowledge management -- Mining industry.
Author: Per V. Jenster
Publisher: Copenhagen Business School Press DK
ISBN: 9788763002028
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
Market Intelligence provides an overview of the most important tools and concepts relevant to intelligence analysis for strategic decision making. The book's focus is not only on competitors, but also on customers, suppliers, and a range of other stakeholders. It gives the reader tools used to analyze both micro and macro factors in the organization's environment to predict future outcomes better and to improve decision making. The field of competitive intelligence is studied by a diverse research community. Contributions to this field are made to aid States - on a national, regional, and local level - as well as to aid the military, non-profit organizations, and private companies. These contributions are mostly done in isolation, even though all these fields of study have much in common. The authors draw from these various fields and provide the essential insights to aid management thinking.
Author: Sheila Wright
Publisher: Routledge
ISBN: 1317980964
Category : Business & Economics
Languages : en
Pages : 246
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Book Description
The Holy Grail for most organisations is the successful attainment, and retention, of inimitable competitive advantage. This book addresses the question of how to leverage the unique intangible assets of an organisation: its explicit, implicit, acquired and derived knowledge. The refreshingly innovative concept of Intelligence-Based Competitive Advantage© is one which will eclipse the cost-driven and resource-reduction attitudes most prevalent in the first decade of this century. Tomorrow’s organisation will need to derive IBCA© through the expert execution of bespoke competitive intelligence practice, unique analytical processes, pioneering competitive strategy formulation, and timely execution of all three, if they are to succeed. This volume consists of insights from Competitive Intelligence practices at both country and organisational level, Competitive Analysis processes within the firm and within challenging sector and economic environments and Competitive Strategy formulation in profit, non-profit, real and virtual world contexts. It is essential reading for anybody wishing to gain a formal understanding of the practical and intellectual challenges which will face organisations in the future as they strive to achieve strategic foresight and Intelligence-Based Competitive Advantage. This book was originally published as two special issues of the Journal of Strategic Marketing.
Author: David L. Blenkhorn
Publisher: Bloomsbury Publishing USA
ISBN: 0313001057
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
For specialists and nonspecialists alike, this perceptive selection of the newest and up and coming tools and techniques of competitive intelligence, offering a well balanced combination of theory and practice. It shows how advances in computers and technology have accelerated progress in CI management, and the ways in which CI has affected (and been affected by) all major business functions and processes. It explores applications to organizations of various sizes and types, in both the public and private sectors. Editors Fleisher and Blenkhorn link leading-edge research in CI to advances in current practice, and balance pragmatic against conceptual concerns. Analysts, strategists and organizational decision makers at higher levels will find the book especially valuable, as they seek to make sense of the business environment and assess their organizations' evolving, dynamic places in it. The pace of change in today's global, competitive economy is greater than at any time in recorded history. Thus, as never before, companies need better tools for business and competitive analysis. The book surveys applications of CI that are critical to business processes, such as mergers and acquisitions, and to evolving industries, such as biotechnology. They focus on how push and pull Internet technologies affect data gathering and analysis and how CI can be managerially assessed using multiple evaluative approaches, unavailable until now in the public domain. They then turn to the future, and lay out some startling yet plausible viewpoints on what the next frontiers of competitive intelligence will be and how organizations can and must ready themselves for them.
Author: Azevedo, Ana
Publisher: IGI Global
ISBN: 1466664789
Category : Computers
Languages : en
Pages : 340
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Book Description
Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.
Author: Seena Sharp
Publisher: John Wiley & Sons
ISBN: 0470538651
Category : Business & Economics
Languages : en
Pages : 308
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Book Description
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: Management Association, Information Resources
Publisher: IGI Global
ISBN: 179989021X
Category : Computers
Languages : en
Pages : 1865
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Book Description
Social media has become an integral part of society as social networking has become a main form of communication and human interaction. To stay relevant, businesses have adopted social media tactics to interact with consumers, conduct business, and remain competitive. Social technologies have reached a vital point in the business world, being essential in strategic decision-making processes, building relationships with consumers, marketing and branding efforts, and other important areas. While social media continues to gain importance in modern society, it is essential to determine how it functions in contemporary business. The Research Anthology on Strategies for Using Social Media as a Service and Tool in Business provides updated information on how businesses are strategically using social media and explores the role of social media in keeping businesses competitive in the global economy. The chapters will discuss how social tools work, what services businesses are utilizing, both the benefits and challenges to how social media is changing the modern business atmosphere, and more. This book is essential for researchers, instructors, social media managers, business managers, students, executives, practitioners, industry professionals, social media analysts, and all audiences interested in how social media is being used in modern businesses as both a service and integral tool.
Author: Galit Shmueli
Publisher: John Wiley & Sons
ISBN: 0470084855
Category : Mathematics
Languages : en
Pages : 300
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Book Description
Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. Data Mining for Business Intelligence, which was developed from a course taught at the Massachusetts Institute of Technology's Sloan School of Management, and the University of Maryland's Smith School of Business, uses real data and actual cases to illustrate the applicability of data mining intelligence to the development of successful business models. Featuring XLMiner, the Microsoft Office Excel add-in, this book allows readers to follow along and implement algorithms at their own speed, with a minimal learning curve. In addition, students and practitioners of data mining techniques are presented with hands-on, business-oriented applications. An abundant amount of exercises and examples are provided to motivate learning and understanding. Data Mining for Business Intelligence: Provides both a theoretical and practical understanding of the key methods of classification, prediction, reduction, exploration, and affinity analysis Features a business decision-making context for these key methods Illustrates the application and interpretation of these methods using real business cases and data This book helps readers understand the beneficial relationship that can be established between data mining and smart business practices, and is an excellent learning tool for creating valuable strategies and making wiser business decisions.
