| business intelligence software market: Internet of Things in Business Transformation Parul Gandhi, Surbhi Bhatia, Abhishek Kumar, Mohammad Ali Alojail, Pramod Singh Rathore, 2021-02-03 The objective of this book is to teach what IoT is, how it works, and how it can be successfully utilized in business. This book helps to develop and implement a powerful IoT strategy for business transformation as well as project execution. Digital change, business creation/change and upgrades in the ways and manners in which we work, live, and engage with our clients and customers, are all enveloped by the Internet of Things which is now named Industry 5.0 or Industrial Internet of Things. The sheer number of IoT(a billion+), demonstrates the advent of an advanced business society led by sustainable robotics and business intelligence. This book will be an indispensable asset in helping businesses to understand the new technology and thrive. |
| business intelligence software market: 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 software market: 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 software market: Market Intelligence Per V. Jenster, Klaus Solberg Søilen, 2009 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. |
| business intelligence software market: Business Intelligence For Dummies Swain Scheps, 2011-02-04 You're intelligent, right? So you've already figured out that Business Intelligence can be pretty valuable in making the right decisions about your business. But you’ve heard at least a dozen definitions of what it is, and heard of at least that many BI tools. Where do you start? Business Intelligence For Dummies makes BI understandable! It takes you step by step through the technologies and the alphabet soup, so you can choose the right technology and implement a successful BI environment. You'll see how the applications and technologies work together to access, analyze, and present data that you can use to make better decisions about your products, customers, competitors, and more. You’ll find out how to: Understand the principles and practical elements of BI Determine what your business needs Compare different approaches to BI Build a solid BI architecture and roadmap Design, develop, and deploy your BI plan Relate BI to data warehousing, ERP, CRM, and e-commerce Analyze emerging trends and developing BI tools to see what else may be useful Whether you’re the business owner or the person charged with developing and implementing a BI strategy, checking out Business Intelligence For Dummies is a good business decision. |
| business intelligence software market: B2B Marketing Uwe G. Seebacher, 2021-05-03 This unique book comprehensively presents the current state of knowledge, theoretical and practical alike, in the field of business-to-business (B2B) marketing. More than 30 of the best and most recognized B2B marketers address the most relevant theoretical foundations, concepts, tried and tested approaches and models from entrepreneurial practice. Many of those concepts are published for the first time ever in this book. The book not only builds on the existing classic literature for industrial goods marketing but also – and much more importantly – finally closes the gap towards the rapidly growing ecosystem of modern B2B marketing terms, instruments, products, and topics. Technical terms such as Account-Based Marketing, Buyer Journey, ChatBots, Content AI, Marketing Automation, Marketing Canvas, Social Selling, Touchpoint Sensitivity Analysis, and Predictive Intelligence are explained and examined in detail, especially in terms of their applicability and implementation. The book as a whole reflects the B2B marketing journey so that the readers can directly connect the content to their own experience and use the book as a guide in their day-to-day work for years to come. |
| business intelligence software market: 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 software market: 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 software market: 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 software market: Data Mining for Business Analytics Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel, 2019-10-14 Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R |
| business intelligence software market: E-Business Intelligence Bernard Liautaud, 2001 Publisher Fact Sheet How to leverage corporate information for reduced costs & increased profits. |
| business intelligence software market: Business Intelligence Roadmap Larissa Terpeluk Moss, S. Atre, 2003 This software will enable the user to learn about business intelligence roadmap. |
| business intelligence software market: Softwar Matthew Symonds, 2013-04-30 In a business where great risks, huge fortunes, and even bigger egos are common, Larry Ellison stands out as one of the most outspoken, driven, and daring leaders of the software industry. The company he cofounded and runs, Oracle, is the number one business software company: perhaps even more than Microsoft's, Oracle's products are essential to today's networked world. But Oracle is as controversial as it is influential, as feared as it is revered, thanks in large part to Larry Ellison. Though Oracle is one of the world's most valuable and profitable companies, Ellison is not afraid to suddenly change course and reinvent Oracle in the pursuit of new and ever more ambitious goals. Softwar examines the results of these shifts in strategy and the forces that drive Ellison relentlessly on. In Softwar, journalist Matthew Symonds gives readers an exclusive and intimate insight into both Oracle and the man who made it and runs it. As well as relating the story of Oracle's often bumpy path to industry dominance, Symonds deals with the private side of Ellison's life. From Ellison's troubled upbringing by adoptive parents and his lifelong search for emotional security to the challenges and opportunities that have come with unimaginable wealth, Softwar gets inside the skin of a fascinating and complicated human being. With unlimited insider access granted by Ellison himself, Symonds captures the intensity and, some would say, the recklessness that have made Ellison a legend. The result of more than a hundred hours of interviews and many months spent with Ellison, Softwar is the most complete portrait undertaken of the man and his empire -- a unique and gripping account of both the way the computing industry really works and an extraordinary life. Despite his closeness to Ellison, Matthew Symonds is a candid and at times highly critical observer. And in perhaps the book's most unusual feature, Ellison responds to Symonds's portrayal in the form of a running footnoted commentary. The result is one of the most fascinating business stories of all time. |
| business intelligence software market: Handbook of Research on Applied AI for International Business and Marketing Applications Christiansen, Bryan, Škrinjari?, Tihana, 2020-09-25 Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students. |
| business intelligence software market: Financial Business Intelligence Nils H. Rasmussen, Paul S. Goldy, Per O. Solli, 2002-10-15 Turn storehouses of data into a strategic tool Business intelligence has recently become a word used by almostevery CFO, controller, and analyst. After having spent the lastdecade implementing Enterprise Resource Planning software and othermission critical solutions, companies now have large databases withtransactional data sitting in their computer rooms. Now, finally,the technology has reached a point where it is possible- in almostreal time-to quickly and easily analyze the financial data in thecorporate databases, to be able to make more intelligent businessdecisions. This book will help financial managers understand thetrends, technology, software selection, and implementation offinancial business intelligence (financial BI) software. With adictionary of business intelligence terms, a comprehensive list ofRequest for Proposal questions, and examples of popular financialbusiness intelligence reroutes and user interfaces, this bookenables managers to measure their companies' business intelligenceand maximize its value. |
| business intelligence software market: Business Intelligence Guidebook Rick Sherman, 2014-11-04 Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources. |
| business intelligence software market: 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 software market: 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 software market: Street Smarts for Global Business Rob Day, 2008-09-15 A common response often heard by Americans when conducting business overseas is That's just not how things are done over here. As true as that statement may be and no matter how different things are done elsewhere, the business objective remains the same: close the deal, create value, and get paid! Street Smarts for Global Business gives you a behind the scenes look at how global business transactions are done in countries and cultures outside of the United States. Six key topics are explored: legal, language and communications, culture, negotiations, negotiations, outsourcing, and protecting intellectual property. In this book you will discover: > How to win global business via authentic stories and experiences from a seasoned global business executive. > Street Smarts templates that provide step by step guidance for analyzing and closing global opportunities. > Behind the scenes business situations and case study examples for numerous countries to include China, Brazil, Italy, Germany, and Slovenia to name a few. |
| business intelligence software market: Strategic Information Systems: Concepts, Methodologies, Tools, and Applications Hunter, M. Gordon, 2009-08-31 This 4-volume set provides a compendium of comprehensive advanced research articles written by an international collaboration of experts involved with the strategic use of information systems--Provided by publisher. |
| business intelligence software market: 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 software market: Market-Led Strategic Change Nigel Piercy, 2008-10-30 The fourth edition of the best seller, Market-Led Strategic Change, confronts the real issues companies face in going to market effectively and profitably, including: * corporate social responsibility * marketing under siege * dominant customers and much else besides. In his witty and direct style, Nigel Piercy takes into account state-of-the-art thinking, including nine new case studies providing invaluable lessons from global firms: * Tata * EMI and the music business * Cloud computing * IBM * BAA * Rover cars * Tesco in the USA * Mittal and global steel * One-Laptop-Per-Child. The book confronts the critical issues now faced in strategic marketing: * escalating customer demands driving the imperative for superior value * totally integrated marketing to deliver customer value * the diffusion of Internet-related issues throughout marketing * managing processes like planning and budgeting to achieve effective implementation At once pragmatic, cutting-edge and thought-provoking, Market-Led Strategic Change is essential reading for all managers, students and lecturers seeking a definitive guide to the demands and challenges of strategic marketing in the 21st century. Tutor Resource pack available at www.textbooks.elsevier.com |
| business intelligence software market: Cyclopaedia of Commercial and Business Anecdotes Richard Miller Devens, 1865 |
| business intelligence software market: Technology Innovation for Business Intelligence and Analytics (TIBIA) Haitham M. Alzoubi, |
| business intelligence software market: CRM in Real Time Barton J. Goldenberg, 2008 This comprehensive guide to Customer Relationship Management (CRM) draws on Barton Goldenbergs 20 plus years of experience guiding firms to a successful implementation of CRM solutions and techniques. Goldenberg demonstrates how the right mix of people, process, and technology can help firms achieve a superior level of customer satisfaction, loyalty, and new business. Beginning with a primer for executives who need to get quickly up-to-speed on CRM, the book covers a full range of critical issues including integration challenges and security concerns, and illuminates CRMs key role in the 24/7/365 real-time business revolution. CRM in Real Time is an essential guide for any organization seeking to maximize customer relationships, coordinate customer-facing functions, and leverage the power of the Internet as business goes real time. |
| business intelligence software market: Organizational Advancements through Enterprise Information Systems: Emerging Applications and Developments Gunasekaran, Angappa, Shea, Timothy, 2009-11-30 This book provides a comprehensive assessment of the latest developments in the EIS revolution. including Enterprise Resource Planning (ERP) adoption, the integration of enterprise systems, personalized ERP, and the Semantic Web, and ideas and solutions for the future of the global enterprise--Provided by publisher. |
| business intelligence software market: Making Search Work Martin Scott White, 2007 |
| business intelligence software market: Strategic Intelligence Jay Liebowitz, 2006-03-27 Strategic intelligence (SI) has mostly been used in military settings, but its worth goes well beyond that limited role. It has become invaluable for improving any organization's strategic decision making process. The author of Strategic Intelligence: Business Intelligence, Competitive Intelligence, and Knowledge Management recognizes synergies amo |
| business intelligence software market: Adaptive Business Intelligence Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, Constantin Chiriac, 2006-12-02 Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling. |
| business intelligence software market: Oracle Business Intelligence with Machine Learning Rosendo Abellera, Lakshman Bulusu, 2017-12-18 Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning solutions using the rich Oracle BI ecosystem. The primary objective of this book is to bridge the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to machine learning with OBIEE. What You Will Learn See machine learning in OBIEE Master the fundamentals of machine learning and how it pertains to BI and advanced analytics Gain an introduction to Oracle R Enterprise Discover the practical considerations of implementing machine learning with OBIEE Who This Book Is For Analytics managers, BI architects and developers, and data scientists. |
| business intelligence software market: 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 software market: Using Open Source Platforms for Business Intelligence Lyndsay Wise, 2012-11-23 Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments. - The only book to provide complete coverage of all open source BI systems and tools specifically for business managers, without bias toward any OS BI suite - A practical, step-by-step guide to implementing OS BI solutions that maximize ROI - Comprehensive coverage of all open source systems and tools, including architectures, data integration, support, optimization, data mining, data warehousing, and interoperability - Case studies and project templates enable readers to evaluate the benefits and tradeoffs of all OS BI options without having to spend time developing their own solutions from scratch |
| business intelligence software market: Business Intelligence Tools for Small Companies Albert Nogués, Juan Valladares, 2017-05-25 Learn how to transition from Excel-based business intelligence (BI) analysis to enterprise stacks of open-source BI tools. Select and implement the best free and freemium open-source BI tools for your company’s needs and design, implement, and integrate BI automation across the full stack using agile methodologies. Business Intelligence Tools for Small Companies provides hands-on demonstrations of open-source tools suitable for the BI requirements of small businesses. The authors draw on their deep experience as BI consultants, developers, and administrators to guide you through the extract-transform-load/data warehousing (ETL/DWH) sequence of extracting data from an enterprise resource planning (ERP) database freely available on the Internet, transforming the data, manipulating them, and loading them into a relational database. The authors demonstrate how to extract, report, and dashboard key performance indicators (KPIs) in a visually appealing format from the relational database management system (RDBMS). They model the selection and implementation of free and freemium tools such as Pentaho Data Integrator and Talend for ELT, Oracle XE and MySQL/MariaDB for RDBMS, and Qliksense, Power BI, and MicroStrategy Desktop for reporting. This richly illustrated guide models the deployment of a small company BI stack on an inexpensive cloud platform such as AWS. What You'll Learn You will learn how to manage, integrate, and automate the processes of BI by selecting and implementing tools to: Implement and manage the business intelligence/data warehousing (BI/DWH) infrastructure Extract data from any enterprise resource planning (ERP) tool Process and integrate BI data using open-source extract-transform-load (ETL) tools Query, report, and analyze BI data using open-source visualization and dashboard tools Use a MOLAP tool to define next year's budget, integrating real data with target scenarios Deploy BI solutions and big data experiments inexpensively on cloud platforms Who This Book Is For Engineers, DBAs, analysts, consultants, and managers at small companies with limited resources but whose BI requirements have outgrown the limitations of Excel spreadsheets; personnel in mid-sized companies with established BI systems who are exploring technological updates and more cost-efficient solutions |
| business intelligence software market: Controversies in Competitive Intelligence Craig S. Fleisher, David L. Blenkhorn, 2003-02-28 Chosen for their clear, direct relevance to scholars and practitioners in the volatile field of competitive intelligence, the 24 issues evaluated here represent the cutting edge of CI's most pressing concerns. Current, scholarly, pragmatic, and among the first of its kind, this book presents the heart of the field in a way that even the relatively uninitiated can grasp and quickly apply. The authors cover the latest technological advances and their relation to the tools most valued by CI professionals. They also show that despite its enormous range of possibilities, CI has limits. Navigating the ever-changing organizational and marketplace environments is difficult. A key debate involves what should and shouldn't be done to maximize the beneficial power of CI. Fleisher, Blenkhorn, and the book's contributors present the crucial points of this debate. This book is perfect for practitioners seeking guidance, but also as a supplemental text for students in such courses as marketing strategy and planning, business-to-business marketing, and competitive intelligence itself. |
| business intelligence software market: Open and Big Data Management and Innovation Marijn Janssen, Matti Mäntymäki, Jan Hidders, Bram Klievink, Winfried Lamersdorf, Bastiaan van Loenen, Anneke Zuiderwijk, 2015-10-08 This book constitutes the refereed conference proceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2015, held in Delft, The Netherlands, in October 2015. The 40 revised full papers presented together with 1 keynote panel were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: adoption; big and open data; e-business, e-services,, and e-society; and witness workshop. |
| business intelligence software market: Enacting Research Methods in Information Systems: Volume 3 Leslie P. Willcocks, Chris Sauer, Mary C. Lacity, 2016-05-20 This edited three volume edition brings together significant papers previously published in the Journal of information Technology (JIT) over its 30 year publication history. The three volumes of Enacting Research Methods in Information Systems celebrate the methodological pluralism used to advance our understanding of information technology's role in the world today. In addition to quantitative methods from the positivist tradition, JIT also values methodological articles from critical research perspectives, interpretive traditions, historical perspectives, grounded theory, and action research and design science approaches. Volume 1 covers Critical Research, Grounded Theory, and Historical Approaches. Volume 2 deals with Interpretive Approaches and also explores Action Research. Volume 3 focuses on Design Science Approaches and discusses Alternative Approaches including Semiotics Research, Complexity Theory and Gender in IS Research. The Journal of Information Technology (JIT) was started in 1986 by Professors Frank Land and Igor Aleksander with the aim of bringing technology and management together and bridging the ‘great divide’ between the two disciplines. The Journal was created with the vision of making the impact of complex interactions and developments in technology more accessible to a wider audience. Retaining this initial focus, the JIT has gone on to extend into new and innovative areas of research such as the launch of JITTC in 2010. A high impact journal, JIT shall continue to publish leading trends based on significant research in the field. |
| business intelligence software market: Strategic Engineering for Cloud Computing and Big Data Analytics Amin Hosseinian-Far, Muthu Ramachandran, Dilshad Sarwar, 2017-02-13 This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy. |
| business intelligence software market: Perspectives on Business Intelligence Raymond T. Ng, Patricia C. Arocena, Denilson Barbosa, Giuseppe Carenini, 2022-05-31 In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like How did our sales perform during the last quarter? A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like How are we doing right now? Today the focus of BI users are looking into the future. Given what I did before and how I am currently doing this quarter, how will I do next quarter? Furthermore, fuelled by the demands of Big Data, BI systems are going through a time of incredible change. Predictive analytics, high volume data, unstructured data, social data, mobile, consumable analytics, and data visualization are all examples of demands and capabilities that have become critical within just the past few years, and are growing at an unprecedented pace. This book introduces research problems and solutions on various aspects central to next-generation BI systems. It begins with a chapter on an industry perspective on how BI has evolved, and discusses how game-changing trends have drastically reshaped the landscape of BI. One of the game changers is the shift toward the consumerization of BI tools. As a result, for BI tools to be successfully used by business users (rather than IT departments), the tools need a business model, rather than a data model. One chapter of the book surveys four different types of business modeling. However, even with the existence of a business model for users to express queries, the data that can meet the needs are still captured within a data model. The next chapter on vivification addresses the problem of closing the gap, which is often significant, between the business and the data models. Moreover, Big Data forces BI systems to integrate and consolidate multiple, and often wildly different, data sources. One chapter gives an overview of several integration architectures for dealing with the challenges that need to be overcome. While the book so far focuses on the usual structured relational data, the remaining chapters turn to unstructured data, an ever-increasing and important component of Big Data. One chapter on information extraction describes methods for dealing with the extraction of relations from free text and the web. Finally, BI users need tools to visualize and interpret new and complex types of information in a way that is compelling, intuitive, but accurate. The last chapter gives an overview of information visualization for decision support and text. |
| business intelligence software market: Sustaining Competitive Advantage via Business Intelligence, Knowledge Management, and System Dynamics Mohammed Quaddus, Arch G. Woodside, 2015-10-07 Volume 22 includes two main chapters in both Part A and B. It appears in two parts because all chapters offer great depth in coverage of core issues senior executives must address for long-term survival of the firm: business intelligence, knowledge management, and understanding of the systems dynamics of interfirm behavior. |
| business intelligence software market: EBOOK: Management Information Systems - Global edition James O'Brien, George Marakas, 2011-04-16 The benchmark text for the syllabus organised by technology (a week on databases, a week on networks, a week on systems development, etc.) taught from a managerial perspective. O’Brien's Management Information Systems defines technology and then explains how companies use the technology to improve performance. Real world cases finalise the explanation |
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and….
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that….
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or….
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made….
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you….
ENTREPRENEUR | English meaning - Cambridge Dictionary
ENTREPRENEUR definition: 1. someone who starts their own business, especially when this involves seeing a new opportunity….
CULTIVATE | English meaning - Cambridge Dictionary
CULTIVATE definition: 1. to prepare land and grow crops on it, or to grow a particular crop: 2. to try to develop and….
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the….
LIAISE | English meaning - Cambridge Dictionary
LIAISE definition: 1. to speak to people in other organizations, etc. in order to work with them or exchange….
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and….
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that….
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or….
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made….
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you….
ENTREPRENEUR | English meaning - Cambridge Dictionary
ENTREPRENEUR definition: 1. someone who starts their own business, especially when this involves seeing a new opportunity….
CULTIVATE | English meaning - Cambridge Dictionary
CULTIVATE definition: 1. to prepare land and grow crops on it, or to grow a particular crop: 2. to try to develop and….
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the….
LIAISE | English meaning - Cambridge Dictionary
LIAISE definition: 1. to speak to people in other organizations, etc. in order to work with them or exchange….
