| business intelligence market share: Business Intelligence & Data Warehousing Simplified Arshad Khan, 2011-10-15 This book targets business and IT professionals who need an introduction to business intelligence and data warehousing through a simple question/answer format. Organized into 30 odd chapters, each on a different topic, the book contains approximately 500 questions with answers and tips. Topics include evolution and fundamentals, characteristics and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, implementation approaches, planning, design, Inmon vs. Kimball, multi-dimensionality, OLAP, facts and dimensions, common mistakes and tips, etc. The book can also be used as a supplemental textbook, for various data warehousing/business intelligence courses. |
| business intelligence market share: Business Intelligence Carlo Vercellis, 2011-08-10 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. |
| business intelligence market share: The Shorcut Guide to Achieving Business Intelligence in Midsize Companies Don Jones, 2009 |
| business intelligence market share: Competitive Intelligence C. West, 2001-09-19 To beat your competitors you must know exactly what they are doing. It is impossible to put together a successful competitive strategy if you are unsure what your competitors are doing, what they plan to do or even who your competitors really are. As markets evolve even more rapidly and companies adapt their plans much faster, the demand for competitive intelligence has spiralled. Christopher West, an expert in the field, shows you how to collect, analyse and use competitive intelligence from a variety of sources, including the internet, and change your competitive strategy accordingly. |
| business intelligence market share: The Profit Impact of Business Intelligence Steve Williams, Nancy Williams, 2010-07-27 The Profit Impact of Business Intelligence presents an A-to-Z approach for getting the most business intelligence (BI) from a company's data assets or data warehouse. BI is not just a technology or methodology, it is a powerful new management approach that – when done right – can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it. When BI first came on the scene, it promised a lot but often failed to deliver. The missing element was the business-centric focus explained in this book. It shows how you can achieve the promise of BI by connecting it to your organization's strategic goals, culture, and strengths while correcting your BI weaknesses. It provides a practical, process-oriented guide to achieve the full promise of BI; shows how world-class companies used BI to become leaders in their industries; helps senior business and IT executives understand the strategic impact of BI and how they can ensure a strong payoff from their BI investments; and identifies the most common mistakes organizations make in implementing BI. The book also includes a helpful glossary of BI terms; a BI readiness assessment for your organization; and Web links and extensive references for more information. - A practical, process-oriented book that will help organizations realize the promise of BI - Written by Nancy and Steve Williams, veteran consultants and instructors with hands-on, in the trenches experience in government and corporate business intelligence applications - Will help senior business and IT executives understand the strategic impact of BI and how they can help ensure a strong payoff on BI investments |
| business intelligence market share: The Handbook of Market Intelligence Hans Hedin, Irmeli Hirvensalo, Markko Vaarnas, 2011-09-19 Product Description This resource gives readers a step-by-step roadmap for establishing, conducting, and further developing market intelligence programs within an organization, turning market data into actionable insights. It is full of best practice advice based on hundreds of real-life international case studies. The material is backed up by extensive global survey data, providing readers with benchmark data on how intelligence programs are being organized, operated, and resourced worldwide. From the vast amount of examples, the authors have distilled Six Key Success Factors for organizing future-oriented corporate intelligence programs. From the Inside Flap Global companies spend millions of dollars on conducting Market Intelligence each year. Yet only 10% have achieved Market Intelligence capabilities that are truly world class. Such companies enjoy much higher efficiencies in decision making and strong return-on-investment on their Market Intelligence budgets. What are their secrets? What can the other 90% do in order to ensure they have their Market Intelligence scope, processes, deliverables, tools, organization and culture right? Get an insider's look at how some of the world's most respected international companies use Market Intelligence. This book provides over 40 enlightening case studies from companies such as Cisco Systems, ABB, Dunkin’ Brands and Statoil, as well as findings from two global surveys on Market Intelligence programs and trends. It also features a step-by-step roadmap to help companies raise their intelligence ambitions, by using the six Key Success Factors outlined in the World Class Market Intelligence Framework developed by the authors. Readers will be able to implement the practical ideas immediately and drive the systematic development of their own world class market intelligence functions – as well as benchmark their own results against global best practices. |
| business intelligence market share: Principles and Applications of Business Intelligence Research Herschel, Richard T., 2012-12-31 This book provides the latest ideas and research on advancing the understanding and implementation of business intelligence within organizations--Provided by publisher. |
| business intelligence market share: Business Intelligence Strategy and Big Data Analytics Steve Williams, 2016-04-08 Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like big data and big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans |
| business intelligence market share: Applying Business Intelligence and Innovation to Entrepreneurship Kankaew, Kannapat, Nakpathom, Parinya, Chnitphattana, Alhuda, Pitchayadejanant, Krittipat, Kunnapapdeelert, Siwaporn, 2024-03-18 Smart watches, autonomous vehicles, and talking robots are now an everyday part of life for many regions of the world. The digital revolution has now permeated nearly every facet of our existence. This surge in technological advancement has ushered in what economists term an innovation economy. In this era, the synergy between technology and business intelligence propels groundbreaking innovations, fostering entrepreneurial ventures across various sectors. These ventures encompass an array of industries, including agriculture, fast-moving consumer goods, hospitality, cultural and indigenous products, to name just a few. While these entrepreneurial endeavors bring forth creativity and contribute to circular economies within communities, not all manage to navigate the challenging environment successfully. This raises a pressing concern how can entrepreneurs harness the power of business intelligence and innovation to achieve sustainability and a competitive edge in today's complex business landscape? Applying Business Intelligence and Innovation to Entrepreneurship brings a definitive solution to academicians, researchers, and students who seek a comprehensive understanding of the dynamic interplay between entrepreneurship, business intelligence, and innovation. By dissecting various types of organizations, from small and medium-sized enterprises (SMEs) to technology-based startups like Fintech, digital marketing, and community-driven initiatives, this book paints a vivid picture of the entrepreneurial ecosystem. It delves deep into the symbiotic relationship between local wisdom and innovation, shedding light on how entrepreneurs can seize opportunities presented by disruptive and unpredictable phenomena. |
| business intelligence market share: Business Analytics for Managers Gert H. N. Laursen, Jesper Thorlund, 2016-10-06 The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning. Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field. Analytics helps businesses move forward. Extensive use of statistical and quantitative analysis alongside explanatory and predictive modeling facilitates fact-based decision making, and evolving technologies continue to streamline every step of the process. This book provides an essential update, and describes how today's tools make business analytics more valuable than ever. Learn how Hadoop can upgrade your data processing and storage Discover the many uses for social media data in analysis and communication Get up to speed on the latest in cloud technologies, data security, and more Prepare for emerging technologies and the future of business analytics Most businesses are caught in a massive, non-stop stream of data. It can become one of your most valuable assets, or a never-ending flood of missed opportunity. Technology moves fast, and keeping up with the cutting edge is crucial for wringing even more value from your data—Business Analytics for Managers brings you up to date, and shows you what analytics can do for you now. |
| business intelligence market share: Business Intelligence Jerzy Surma, 2011-03-06 This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration. |
| business intelligence market share: Fundamentals of Data Warehouses Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis, 2013-03-09 This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. |
| business intelligence market share: Internet Business Intelligence David Vine, 2000 Business intelligence--the acquisition, management, and utilization of information--is crucial in the global marketplace of the 21st century. This savvy handbook explains how even the smallest firm can use inexpensive Web resources to create an Internet Business Intelligence System (IBIS) that rivals the multimillion-dollar systems of Fortune 500 companies. IBIS tracks competitors, explore markets, and evaluates opportunities and risks. It can also be used to launch a business, find customers, test new products, and increase sales. |
| business intelligence market share: Business Analytics: Turning Data into Decisions Cybellium, Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| business intelligence market share: Proven Strategies in Competitive Intelligence Society of Competitive Intelligence Professionals, 2002-03-14 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 |
| business intelligence market share: Competitive Intelligence Christopher Murphy, 2016-05-23 Every business manager needs intelligence to find suppliers, mobilize capital, win customers and fend off rivals. Obtaining this is often an unplanned, instinctive process. The manager who has a conscious, systematic approach to acquiring intelligence will be better placed to recognize and seize opportunities whilst safeguarding the organization against the competitive risks that endanger its prosperity - and sometimes even its survival. Christopher Murphy's Competitive Intelligence explains: ¢ the theory of business competition ¢ how companies try to get ahead of their rivals ¢ methods of research and sources of information that generate the raw material for creating intelligence ¢ analytical techniques which transform the mass of facts and opinions thus retrieved into a platform of sound, useable knowledge to support informed business decision making. The text includes plenty of examples and experiences from the author's own consulting experience. He draws on a wide variety of disciplines, including literary criticism (or how to read between the lines of company reports, announcements and media stories) and anthropology (understanding corporate culture), as well as the more obvious ones such as financial analysis, management theory and business forecasting techniques. This fusion of insights from many fields of expertise provides a very readable, practical and imaginative framework for anyone seeking to gather and make effective use of market and company data. While focused on the British business environment, the lessons drawn are of universal application, and examples are taken from across the globe. In addition a chapter is devoted to researching industries and companies in other countries. Although primarily concerned with commercial enterprises, many of the principles and techniques will also be of considerable practical relevance to managers in the public sector or not-for-profit organizations. Competitive Intelligence also provides a legal |
| business intelligence market share: Competitive Intelligence and Senior Management Joseph H. A. M. Rodenberg, 2007 In the fast-paced world of international business, competitive intelligence is necessary for the daily survival of small firms and national economies alike. In Competitive Intelligence and Senior Management, veteran consultant Joseph H. A. M. Rodenberg argues that business leaders should devote more of their time and attention to seeking out and interpreting information about competitors. This instructive volume offers tools that will help senior managers to increase their firms' competitiveness, carry out successful mergers and acquisitions, and avoid surprise attacks from corporate raiders and private equity firms. |
| business intelligence market share: Data Science Fundamentals and Practical Approaches Nandi Dr. Rupam Dr. Gypsy, Kumar Sharma, 2020-09-03 Learn how to process and analysis data using Python Key Features a- The book has theories explained elaborately along with Python code and corresponding output to support the theoretical explanations. The Python codes are provided with step-by-step comments to explain each instruction of the code. a- The book is quite well balanced with programs and illustrative real-case problems. a- The book not only deals with the background mathematics alone or only the programs but also beautifully correlates the background mathematics to the theory and then finally translating it into the programs. a- A rich set of chapter-end exercises are provided, consisting of both short-answer questions and long-answer questions. Description This book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems. Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis, machine learning for data analysis, time-series analysis, deep learning for Data Science, social media analytics, business analytics, and Big Data analytics. The content of the book describes the fundamentals of each of the Data Science related topics together with illustrative examples as to how various data analysis techniques can be implemented using different tools and libraries of Python programming language. Each chapter contains numerous examples and illustrative output to explain the important basic concepts. An appropriate number of questions is presented at the end of each chapter for self-assessing the conceptual understanding. The references presented at the end of every chapter will help the readers to explore more on a given topic. What will you learn a- Understand what machine learning is and how learning can be incorporated into a program. a- Perform data processing to make it ready for visual plot to understand the pattern in data over time. a- Know how tools can be used to perform analysis on big data using python a- Perform social media analytics, business analytics, and data analytics on any data of a company or organization. Who this book is for The book is for readers with basic programming and mathematical skills. The book is for any engineering graduates that wish to apply data science in their projects or wish to build a career in this direction. The book can be read by anyone who has an interest in data analysis and would like to explore more out of interest or to apply it to certain real-life problems. Table of Contents 1. Fundamentals of Data Science1 2. Data Preprocessing 3. Data Plotting and Visualization 4. Statistical Data Analysis 5. Machine Learning for Data Science 6. Time-Series Analysis 7. Deep Learning for Data Science 8. Social Media Analytics 9. Business Analytics 10. Big Data Analytics About the Authors Dr. Gypsy Nandi is an Assistant Professor (Sr) in the Department of Computer Applications, Assam Don Bosco University, India. Her areas of interest include Data Science, Social Network Mining, and Machine Learning. She has completed her Ph.D. in the field of 'Social Network Analysis and Mining'. Her research scholars are currently working mainly in the field of Data Science. She has several research publications in reputed journals and book series. Dr. Rupam Kumar Sharma is an Assistant Professor in the Department of Computer Applications, Assam Don Bosco University, India. His area of interest includes Machine Learning, Data Analytics, Network, and Cyber Security. He has several research publications in reputed SCI and Scopus journals. He has also delivered lectures and trained hundreds of trainees and students across different institutes in the field of security and android app development. |
| business intelligence market share: Best Practices in Business Technology Management Stephen J. Andriole, 2008-09-26 Discussing specific best practices for making specific decisions, this book offers qualitative and quantitative methods, tools, and techniques for deploying and supporting all kinds of information technology. It identifies the range of technology decisions that managers make and the best practices that define good acquisition, deployment, and support decisions, all in an easy to absorb, conversational tone. The book covers the interrelated business technology alignment areas of business strategy as well as technology applications, architecture, infrastructure, support, acquisition, and organization. Each section ends with a summary of actionable best practices. |
| business intelligence market share: Data-Driven Business Intelligence Systems for Socio-Technical Organizations Keikhosrokiani, Pantea, 2024-04-09 The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers. |
| business intelligence market share: Mastering Business Intelligence (BI) Cybellium Ltd, Unleash the Power of Data with Mastering Business Intelligence (BI) In today's data-driven world, businesses rely on Business Intelligence (BI) to transform raw data into actionable insights. BI professionals are at the forefront of this revolution, enabling organizations to make informed decisions and gain a competitive edge. Mastering Business Intelligence (BI) is your comprehensive guide to excelling in the world of BI, providing you with the knowledge, skills, and strategies to become a data-savvy expert. Your Path to BI Excellence Business Intelligence is not just about collecting data; it's about turning it into meaningful information and driving strategic outcomes. Whether you're new to BI or an experienced professional aiming to sharpen your skills, this book will empower you to master the art of Business Intelligence. What You Will Discover BI Fundamentals: Gain a deep understanding of BI concepts, methodologies, and tools, from data warehousing to data visualization. Data Analysis: Dive into data analysis techniques, data modeling, and data manipulation to extract valuable insights from diverse datasets. Data Visualization: Learn the art of storytelling through data with effective data visualization and reporting techniques. BI Tools and Technologies: Explore popular BI tools like Tableau, Power BI, and QlikView, and discover how to leverage them for maximum impact. Data Governance and Ethics: Understand the importance of data governance, data quality, and ethical considerations in BI. Career Advancement: Explore career pathways in the BI field and learn how mastering BI can open doors to exciting job opportunities. Why Mastering Business Intelligence (BI) Is Essential Comprehensive Coverage: This book provides comprehensive coverage of BI topics, ensuring you have a well-rounded understanding of BI concepts and applications. Expert Guidance: Benefit from insights and advice from experienced BI professionals and industry experts who share their knowledge and best practices. Career Advancement: BI offers a wide range of career opportunities, and this book will help you unlock your full potential in this dynamic field. Stay Ahead: In a data-driven world, mastering BI is vital for staying competitive and contributing to data-driven decision-making. Your Journey to BI Mastery Begins Here Mastering Business Intelligence (BI) is your roadmap to excelling in the world of BI and advancing your career. Whether you aspire to be a BI analyst, data scientist, or BI consultant, this guide will equip you with the skills and knowledge to achieve your goals. Mastering Business Intelligence (BI) is the ultimate resource for individuals seeking to excel in the world of Business Intelligence. Whether you are new to BI or looking to enhance your skills, this book will provide you with the knowledge and strategies to become a data-savvy expert. Don't wait; begin your journey to BI mastery today! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
| business intelligence market share: Business Intelligence and Human Resource Management Deepmala Singh, Anurag Singh, Amizan Omar, SB Goyal, 2022-08-31 Business Intelligence (BI) is a solution to modern business problems. This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students. |
| business intelligence market share: Business Analytics, Volume II Amar Sahay, 2019-11-08 This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA-descriptive, predictive, and prescriptive-along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics. |
| business intelligence market share: SAP Business Analytics Sudipa DuttaRoy, 2016-11-12 Focus on SAP business analytics business gains, key features, and implementation. The book includes example implementations of SAP business analytics, the challenges faced, and the solutions implemented. SAP Business Analytics explains both the strategy and technical implementation for gathering and analyzing all the information pertaining to an organization. Key features of the book are: A 360-degree view of an organization’s data and the methods to gather and analyze that data The strategies that need to be in place to gather relevant data from disparate systems Details about the SAP business analytics suite of products The technical implementations used to gather data from disparate systems such as ERP and CRM Real business cases as examples Analytics is the driving force in today’s business, be it healthcare, marketing, telecommunications, or retail and hence the most vital part of any organization’s strategy. What You'll Learn Gain an understanding of business analytics in general Absorb the technical details of the SAP business analytics suite of products Discover the challenges faced during an enterprise-level analytics project implementation Learn the key points to be kept in mind during the technical implementation of an SAP business analytics project Who This Book Is For Analytics strategists, BI managers, BI architects, business analysts, and BI developers. |
| business intelligence market share: Bridging the Socio-technical Gap in Decision Support Systems Ana Respício, F. Adam, G. Phillips-Wren, C. Teixeira, J. Telhada, 2010 Presents the advances in decision support theory and practice with a focus on bridging the socio-technical gap. This book covers a wide range of topics including: Understanding DM, Design of DSS, Web 2.0 Systems in Decision Support, Business Intelligence and Data Warehousing, Applications of Multi-Criteria Decision Analysis, and more. |
| business intelligence market share: The Competitive Intelligence Playbook Fouad Benyoub, 2022-02-15 Do you believe that intelligence, not data, can shape better business decisions? Do you want to explore how to gather, analyze, and share competitive intelligence? Do you want to learn what it takes to build efficient competitive intelligence programs? Then The Competitive Intelligence Playbook is for you! In this book, you will find the main ingredients you need to take your competitive intelligence program to the next level. You will learn how to build, manage, and optimize your program. You will learn how to move your program from the tactical to the strategic level of your organization. Most importantly, you will learn how to extract the most business value from the program. Let the journey begin! |
| business intelligence market share: Oracle Business Intelligence and Essbase Solutions Guide Rosendo Abellera, Lakshman Bulusu, 2016-11-30 This book highlights the practical aspects of using Oracle Essbase and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. It explains the key steps involved in Oracle Essbase and OBIEE implementations. Using case studies, the book covers Oracle Essbase for analytical BI and data integration, using OBIEE for operational BI including presentation services and BI Publisher for real-time reporting services, Self-service BI– in terms of VLDB, scalability, high performance, stability, long-lasting and ease of use that saves time, effort, and costs, while maximizing ROI. |
| business intelligence market share: Journal of Information Systems Engineering and Business Intelligence , 2018-04-02 Journal of Information System Engineering and Business Intelligence (JISEBI) focuses on Information System Engineering and its implementation, Business Intelligence, and its application. JISEBI is an international, peer review, electronic, and open access journal. JISEBI is seeking an original and high-quality manuscript. Information System Engineering is a multidisciplinary approach to all activities in the development and management of information system aiming to achieve organization goals. Business Intelligence (BI) focuses on techniques to transfer raw data into meaningful information for business analysis purposes, such as decision making, identification of new opportunities, and the implementation of business strategy. The goal of BI is to achieve a sustainable competitive advantage for businesses. |
| business intelligence market share: Comprehensive Intellectual Capital Management Nermien Al-Ali, 2003-04-03 Learn the fundamentals, practices and models of intellectual capital management with this essential resource. Providing a business-oriented, critical review of the definitions, practices, tools and models that are available today, its approach enables you to understand and retain the cutting-edge issues in the emerging field of intellectual capital management. Includes a diagnostic tool that you can use to assess your position on the continuum of intellectual capital management and leverage your competitive advantage Provides plenty of real-life examples and case studies, including Dow Chemical and American Skandia Offers checklists for steps required for the three main processes of intellectual capital management: knowledge, innovation and intellectual property management . . . and more! Order your copy today! |
| business intelligence market share: Applying Business Intelligence Initiatives in Healthcare and Organizational Settings Miah, Shah J., Yeoh, William, 2018-07-13 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. |
| business intelligence market share: HCI International 2023 – Late Breaking Papers Panayiotis Zaphiris, Andri Ioannou, Robert A. Sottilare, Jessica Schwarz, Fiona Fui-Hoon Nah, Keng Siau, June Wei, Gavriel Salvendy, 2023-12-20 This seven-volume set LNCS 14054-14060 constitutes the proceedings of the 25th International Conference, HCI International 2023, in Copenhagen, Denmark, in July 2023. For the HCCII 2023 proceedings, a total of 1578 papers and 396 posters was carefully reviewed and selected from 7472 submissions. Additionally, 267 papers and 133 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work”. These papers were organized in the following topical sections: HCI Design and User Experience; Cognitive Engineering and Augmented Cognition; Cultural Issues in Design; Technologies for the Aging Population; Accessibility and Design for All; Designing for Health and Wellbeing; Information Design, Visualization, Decision-making and Collaboration; Social Media, Creative Industries and Cultural Digital Experiences; Digital Human Modeling, Ergonomics and Safety; HCI in Automated Vehicles and Intelligent Transportation; Sustainable Green Smart Cities and Smart Industry; eXtended Reality Interactions; Gaming and Gamification Experiences; Interacting with Artificial Intelligence; Security, Privacy, Trust and Ethics; Learning Technologies and Learning Experiences; eCommerce, Digital Marketing and eFinance. |
| business intelligence market share: Assessing Competitive Intelligence Software France Bouthillier, Kathleen Shearer, 2003 Value-Addedness and Information: Two Notions, One Goal -- From Data to Knowledge -- The Notion of Value -- The Value-Added Processes of Information Systems -- The Value-Added Processes of Expert and Intelligent Systems -- A Conceptual Framework for Competitive Intelligence -- The Evolution of Competitive Intelligence -- Defining Competitive Intelligence -- Competitive Intelligence and Strategy -- The Competitive Intelligence Process -- Identification of CI Needs -- Acquisition of Competitive Information -- Organization, Storage, and Retrieval. -- Analysis of Information -- Development of Intelligence Products. -- Distribution of Intelligence Products. -- Identifying the Value-Added Processes of Competitive Intelligence Software. -- Evaluating Information Technology. -- Targeting the Value-Added Dimensions. -- Other Evaluation Criteria -- Overview of Competitive Intelligence Software Applications and Related Products.]. -- A Typology of Technologies. -- Identifying CI Technology -- CI Software Products Overview. -- Evaluating Competitive Intelligence Software. -- An Evaluation Guide: Criteria and Questions -- Methodology -- Software Evaluation -- Identification of CI Needs. -- Acquisition of Competitive Information. -- Organization, Storage, and Retrieval -- Analysis of Information -- Development of CI Products -- Distribution of CI Products -- Global Assessment -- Conclusion: Competitive Intelligence Technology-Summary, Implications, and Trends -- Bibliography. |
| business intelligence market share: Competitive Intelligence Larry Kahaner, 1997 In the first book designed for businesses of all sizes and managers at every level, Larry Kahaner explains the increasingly vital practice of competitive intelligence and how American companies can use it for success. With a wealth of case studies, Kahaner shows How to profile your competitors' executives to unmask their decision-making processes The line between legal and illegal or unethical activities How to protect your own company against your competitors' intelligence operations COMPETITIVE INTELLIGENCE is a practical guide to turning raw information into priceless knowledge and winning business strategy. |
| business intelligence market share: Technology Innovation for Business Intelligence and Analytics (TIBIA) Haitham M. Alzoubi, |
| business intelligence market share: Heightening Competition in the Postal and Delivery Sector Michael A. Crew, Paul R. Kleindorfer, 2010-01-01 This compilation of original essays by an international cast of top scholars addresses some of the major issues now facing postal and delivery services throughout the world. The European Commission and member states wrestle with the problem of how to implement the scheduled liberalization of these sectors and maintain the universal service obligation while the United States Postal Service is coming to terms with the Postal Accountability and Enhancement Act. In addition, the book addresses the impact of electronic competition as well as other problems facing the field. The contributors analyze pressing issues such as access to infrastructure and service elements, changes in the national regulations of EU countries, forecasting mail volumes and the evolving market environment, issues surrounding universal service and others. Undergraduate and postgraduate students and researchers in regulation and public sector economics along with industry professionals will find this volume informative and useful. |
| business intelligence market share: Business Intelligence Success Factors Olivia Parr Rud, 2009-06-02 Over the last few decades, the growth of Business Intelligence has enabled companies to streamline many processes and expand into new markets on an unprecedented scale. New BI technologies are also enabling mass collaboration and innovation. However, implementation of these BI solutions often gives rise to new challenges. Business Intelligence Success Factors shows you how to turn those challenges into opportunities by mastering five key skills. Olivia Parr Rud shares insights gained from her two decades of experience in Business Intelligence to offer the latest practices that are emerging in organizational development. Written to help enhance your understanding of the current business climate and to provide the tools necessary to thrive in this new global economy, Business Intelligence Success Factors examines the components of chaos theory, complex adaptive systems, quantum physics, and evolutionary biology. A scientific framework for these new corporate issues helps explain why developing these key competencies are critical, given the speed of change, globalization, as well as advancements in technology and Business Intelligence. Divided into four cohesive parts, Business Intelligence Success Factors explores: The current business landscape as well as the latest scientific research: today's business realities and how and why they can lead to chaos New scientific models for viewing the global economy The five essential competencies—Communication, Collaboration, Innovation, Adaptability, and Leadership—that improve an organization's ability to leverage the new opportunities in a volatile global economy Profiles of several amazing leaders who are working to make a difference Cutting-edge research and case studies via invited contributors offering a wealth of knowledge and experience Move beyond mere survival to realize breakaway success in the global economy with the practical guidance found in Business Intelligence Success Factors. |
| business intelligence market share: Business Intelligence: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2015-12-29 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. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries. |
| business intelligence market share: Business Analysis for Business Intelligence Bert Brijs, 2016-04-19 Aligning business intelligence (BI) infrastructure with strategy processes not only improves your organization's ability to respond to change, but also adds significant value to your BI infrastructure and development investments. Until now, there has been a need for a comprehensive book on business analysis for BI that starts with a macro view and |
| business intelligence market share: Introduction To Knowledge Information Strategy, An: From Business Intelligence To Knowledge Sciences Akira Ishikawa, Juro Nakagawa, 2013-02-21 This book discusses the essence, concepts, techniques, and applications of business intelligence. It also explores different aspects of crisis management, knowledge management and knowledge sciences, the applications of business intelligence in contingencies and crises, environmental issues and group intelligence.The book is divided into three parts. The first part focuses on the significance of business intelligence, competition and intelligence, competitive information strategy, conflicts on patent issues, and the current state-of-the-art of business intelligence education in the US and France. The second part encompasses business intelligence and risk and crisis management, ecological issues and crisis management, business intelligence and knowledge management, and business intelligence as an organizational knowledge. The third part consists of case studies in business intelligence with special reference to the retail industry and the military arena. This part also focuses on applications of business intelligence.Finally, the book also envisages the future direction of knowledge information strategy. It will be of interest to students, academicians and people working in non-profit or non-government organizations. |
| business intelligence market share: Business Intelligence and Analytics in Small and Medium Enterprises Pedro Novo Melo, Carolina Machado, 2019-11-26 Technological developments in recent years have been tremendous. This evolution is visible in companies through technological equipment, computerized procedures, and management practices associated with technologies. One of the management practices that is visible is related to business intelligence and analytics (BI&A). Concepts such as data warehousing, key performance indicators (KPIs), data mining, and dashboards are changing the business arena. This book aims to promote research related to these new trends that open up a new field of research in the small and medium enterprises (SMEs) area. Features Focuses on the more recent research findings occurring in the fields of BI&A Conveys how companies in the developed world are facing today's technological challenges Shares knowledge and insights on an international scale Provides different options and strategies to manage competitive organizations Addresses several dimensions of BI&A in favor of SMEs |
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