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Business, Information Technology and Society
by Stephen D. TanseyThis comprehensive volume introduces the nature and the impact of the new information and communication technologies on business and society. Emphasizing the global impact, it draws upon examples from the USA, Europe, and Japan as well as the newly industrialized countries of the Pacific Rim. Applying a systems thinking approach, author Stephen D. Tansey covers: the environment of computing the IT industry, government and the information economy - and the recent development of e-government initiatives the need to regulate computing the role of IT in the workplace: its effect on organizations and jobs the impact of IT on society at large. Written for students studying business or IT, this book is an invaluable resource offering topical insights into the ways in which information technology is shaping our work and our lives. Without assuming any prior knowledge of either business or IT, this key text provides a unique, essential guide.
Business Innovation for the Post-pandemic Era in Vietnam
by Nguyen Hoang Thuan Hung Nguyen Hiep Cong Pham Alrence HalibasThis book documents the recent post-pandemic era business innovation research in Vietnam bringing together selected works from the 2022 ‘International Conference on Business Innovation: Business Innovation in a Post-pandemic World’ held at RMIT University in Vietnam. The book contributes to the body of knowledge in several ways. It serves as a comprehensive reference for business innovation research and promotes recent progress in business innovation applications in Vietnam and offers a shared understanding to help coordinate future research in the field.
Business Intelligence: 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings (Lecture Notes in Business Information Processing #484)
by Rachid El Ayachi Mohamed Fakir Mohamed BaslamThis book constitutes the refereed proceedings of the 8th International Conference on Business Intelligence, CBI 2023, which held in Istanbul, Turkey, during July 19–21, 2023.The 15 full papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: artificial intelligence and business intelligence; and optimization and decision support.
Business Intelligence: 6th International Conference, CBI 2021, Beni Mellal, Morocco, May 27–29, 2021, Proceedings (Lecture Notes in Business Information Processing #416)
by Mohamed Fakir Mohamed Baslam Rachid El AyachiThis book constitutes the proceedings of the 6th International Conference on Business Intelligence, CBI 2021, which took place in Beni Mellal, Morocco, during May 27-29, 2021.The 26 full and 6 poster papers included in this book were carefully reviewed and selected from a total of 60 submissions. They were organized in topical sections as follows: decision support, information systems and NLP; big data, datamining, Web services and Web semantics; optimization and decision support; signal, image and vision computing; networking, cloud computing and networking architectures in cloud.
Business Intelligence: 7th International Conference, CBI 2022, Khouribga, Morocco, May 26–28, 2022, Proceedings (Lecture Notes in Business Information Processing #449)
by Mohamed Fakir Mohamed Baslam Rachid El AyachiThis book constitutes the proceedings of the 7th International Conference on Business Intelligence, CBI 2022, which took place in Khouribga, Morocco, during May 26-28, 2022. The 23 full papers included in this book were carefully reviewed and selected from a total of 68 submissions. They were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization and dynamic programming.
Business Intelligence: A Project Lifecycle Approach Using Oracle Technology Cookbook
by John HeatonThis book is written in a simple, easy to understand format with lots of screenshots and step-by-step explanations. If you are Project Managers or IT professionals looking to design and develop a data warehouse and business intelligence solution, then this is the best guide for you. This book assumes that you have a fundamental knowledge of data warehouse and business intelligence projects.
Business Intelligence
by Stacia Misner Elizabeth Vitt Michael Luckevich"This readable, practical book helps business people quickly understand what business intelligence is, how it works, where it's used, and why and when to use it--all illustrated by real case studies, not just theory." Nigel Pendse Author of The OLAP Report www.olapreport.com So much information, so little time. All too often, business data is hard to get at and use--thus slowing decision-making to a crawl. This insightful book illustrates how organizations can make better, faster decisions about their customers, partners, and operations by turning mountains of data into valuable business information that's always at the fingertips of decision makers. You'll learn what's involved in using business intelligence to bring together information, people, and technology to create successful business strategies--and how to execute those strategies with confidence. Topics covered include: THE BUSINESS INTELLIGENCE MINDSET: Discover the basics behind business intelligence, such as how it's defined, why and how to use it in your organization, and what characteristics, components, and general architecture most business intelligence solutions share. THE CASE FOR BUSINESS INTELLIGENCE: Read how world leaders in finance, manufacturing, and retail have successfully implemented business intelligence solutions and see what benefits they have reaped. THE PRACTICE OF BUSINESS INTELLIGENCE: Find out what's involved in implementing a business intelligence solution in your organization, including how to identify your business intelligence opportunities, what decisions you must make to get a business intelligence project going, and what to do to sustain the momentum so that you can continue to make sense of all the data you gather.
Business Intelligence (eXamen.press)
by Roland M. Müller Hans-Joachim LenzDas Buch befasst sich mit der Bereitstellung von Daten und Verfahren für analytische Zwecke (Planung, Entscheidung, Controlling sowie Fehlerrückverfolgung) in Unternehmen sowie der notwendigen Rechenleistungen. Die Autoren erläutern die Datenbereitstellung mittels Data Warehouses, Auswertung mittels OLAP-Operationalität und geeignete Verfahren der explorativen Datenanalyse. Bei den Verfahren des Operations Research werden Simulation und Lineare Optimierung dargestellt. Neben erfolgreichen Anwendungen und Fallstudien steht das Verständnis der zugrundeliegenden Algorithmen und Datenstrukturen, die für das Erlernen der BI-Verfahren zwingend notwendig sind, im Vordergrund.
Business Intelligence: A Comprehensive Approach to Information Needs, Technologies and Culture (Progress in IS)
by Rimvydas SkyriusThis book examines the managerial dimensions of business intelligence (BI) systems. It develops a set of guidelines for value creation by implementing business intelligence systems and technologies. In particular the book looks at BI as a process – driven by a mix of human and technological capabilities – to serve complex information needs in building insights and providing aid in decision making. After an introduction to the key concepts of BI and neighboring areas of information processing, the book looks at the complexity and multidimensionality of BI. It tackles both data integration and information integration issues. Bodies of knowledge and other widely accepted collections of experience are presented and turned into lessons learned. Following a straightforward introduction to the processes and technologies of BI the book embarks on BI maturity and agility, the components, drivers and inhibitors of BI culture and soft BI factors like attention, sense and trust. Eventually the book attempts to provide a holistic view on business intelligence, possible structures and tradeoffs and embarks to provide an outlook on possible developments in BI and analytics.
Business Intelligence: Third European Summer School, eBISS 2013, Dagstuhl Castle, Germany, July 7-12, 2013, Tutorial Lectures (Lecture Notes in Business Information Processing #172)
by Esteban ZimányiTo large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the "Big Data" phenomena and the evolution of society and users. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e. g. , from social networks, blogs, competitors', suppliers', or distributors' data, governmental or NGO-based analysis and papers, or from research publications. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data. The lectures held at the Third European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e. g. , pattern and process mining, business semantics, Linked Open Data, and large-scale data management and analysis. Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for further research in this growing field.
Business Intelligence: 4th European Summer School, eBISS 2014, Berlin, Germany, July 6-11, 2014, Tutorial Lectures (Lecture Notes in Business Information Processing #205)
by Esteban Zimányi Ralf-Detlef KutscheThis book constitutes the tutorial lectures of the 4th European Business Intelligence Summer School, eBISS 2014, held in Berlin, Germany, in July 2014. The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including requirements engineering for decision-support systems, visual analytics of large data sets, linked data and semantic technologies, supervised classification on data streams, and knowledge reuse in large organizations.
Business Intelligence: 6th European Summer School, eBISS 2016, Tours, France, July 3-8, 2016, Tutorial Lectures (Lecture Notes in Business Information Processing #280)
by Esteban Zimányi Patrick MarcelBusiness Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the evolution of society and users, and needs to take into account high-level semantics, reasoning about unstructured and structured data, and to provide a simplified access and better understanding of diverse BI tools accessible trough mobile devices. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e. g. , from social networks, blogs, competitors', suppliers', or distributors' data, governmental or NGO-based analysis and papers, or from research publications. The lectures held at the First European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI technologies like data warehouses, OLAP query processing, or performance issues, but extend into new aspects that are important in this new environment and for novel applications, e. g. , semantic technologies, social network analysis and graphs, services, large-scale management, or collaborative decision making. Combining papers by leading researchers in the field, this volume will equip the reader with the state-of-the-art background necessary for inventing the future of BI. It will also provide the reader with an excellent basis and many pointers for further research in this growing field.
Business Intelligence & Analytics – Grundlagen und praktische Anwendungen: Ansätze der IT-basierten Entscheidungsunterstützung
by Henning Baars Hans-Georg KemperEine fundierte und praxisorientierte Einführung in die IT-basierte Managementunterstützung. Business Intelligence umfasst mehr als den Bereich Data Warehousing. Ziel ist die Realisierung eines Gesamtkonzeptes. Charakteristika sind eine konsistente, harmonisierte Datenhaltung, eine hohe Integrationsdichte der Analysesysteme und die Einbindung betriebswirtschaftlich anspruchsvoller Auswertungskonzepte. In dem Buch werden eine Business-Intelligence-Architektur sowie ein Vorgehensmodell zur Entwicklung integrierter BI-Anwendungssysteme entworfen und anhand von aussagekräftigen Praxisbeispielen ausführlich illustriert.
Business Intelligence and Big Data: Drivers of Organizational Success
by Celina M. OlszakThe twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.
Business Intelligence and Big Data: 7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures (Lecture Notes in Business Information Processing #324)
by Esteban ZimányiThis book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical, practical, and collaboration skills necessary for developing challenging business intelligence applications.
Business Intelligence and Information Technology: Proceedings of BIIT 2022 (Smart Innovation, Systems and Technologies #358)
by Aboul Ella Hassanien Dequan Zheng Zhijie Zhao Zhipeng FanThis book constitutes the refereed proceedings of the 2022 International Conference on Business Intelligence and Information Technology (BIIT 2022) held in Harbin, China, during December 17–18, 2022. BIIT 2022 is organized by the School of Computer and Information Engineering, Harbin University of Commerce, and supported by Scientific Research Group in Egypt (SRGE), Egypt. The papers cover current research in electronic commerce technology and application, business intelligence and decision making, digital economy, accounting informatization, intelligent information processing, image processing and multimedia technology, signal detection and processing, communication engineering and technology, information security, automatic control technique, data mining, software development, and design, blockchain technology, big data technology, and artificial intelligence technology.
Business Intelligence and Information Technology: Proceedings of BIIT 2023 (Smart Innovation, Systems and Technologies #394)
by Aboul Ella Hassanien Dequan Zheng Zhijie Zhao Zhipeng FanThis book constitutes the refereed proceedings of the 2023 International Conference on Business Intelligence and Information Technology (BIIT 2023) held in Harbin, China, during December 16–17, 2023. BIIT 2023 is organized by the School of Computer and Information Engineering, Harbin University of Commerce, and supported by Scientific Research Group in Egypt (SRGE), Egypt. The papers cover current research in electronic commerce technology and application, business intelligence and decision making, digital economy, accounting informatization, intelligent information processing, image processing and multimedia technology, signal detection and processing, communication engineering and technology, information security, automatic control technique, data mining, software development, and design, blockchain technology, big data technology, and artificial intelligence technology.
Business Intelligence and Modelling: Unified Approach with Simulation and Strategic Modelling in Entrepreneurship (Springer Proceedings in Business and Economics)
by Damianos P. Sakas Dimitrios K. Nasiopoulos Yulia TaratuhinaThis book highlights interdisciplinary insights, latest research results, and technological trends in Business Intelligence and Modelling in fields such as: Business Intelligence, Business Transformation, Knowledge Dissemination & Implementation, Modeling for Logistics, Business Informatics, Business Model Innovation, Simulation Modelling, E-Business, Enterprise & Conceptual Modelling, etc. The book is divided into eight sections, grouping emerging marketing technologies together in a close examination of practices, problems and trends. The chapters have been written by researchers and practitioners that demonstrate a special orientation in Strategic Marketing and Business Intelligence. This volume shares their recent contributions to the field and showcases their exchange of insights.
Business Intelligence and Performance Management: Theory, Systems and Industrial Applications (Advanced Information and Knowledge Processing)
by Alaa F. Sheta Aladdin Ayesh Peter RauschDuring the 21st century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates. Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others. Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.
Business Intelligence For Dummies
by Swain SchepsYou'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 BIDetermine what your business needsCompare different approaches to BIBuild a solid BI architecture and roadmapDesign, develop, and deploy your BI planRelate BI to data warehousing, ERP, CRM, and e-commerceAnalyze emerging trends and developing BI tools to see what else may be usefulWhether 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 for Enterprise Internet of Things (EAI/Springer Innovations in Communication and Computing)
by Anandakumar Haldorai Arulmurugan Ramu Syed Abdul Rehman KhanThis book discusses Internet of Things (IoT) as it relates to enterprise applications, systems, and infrastructures. The authors discuss IoT and how it’s disrupting industries such as enterprise manufacturing, enterprise transportation, enterprise smart market, enterprise utilities, and enterprise healthcare. They cover how IoT in the enterprise will have a major impact on the lives of consumers and professionals around the world and how it will change the way we think about professional and consumer networks. The book's topics include IoT enterprise system architecture, IoT enabling enterprise technologies, and IoT enterprise services and applications. Examples include enterprise on demand, market impacts, and implications on smart technologies, big data enterprise management, and future enterprise Internet design for various IoT use cases, such as share markets, healthcare, smart cities, smart environments, smart communications and smart homes.
Business Intelligence for Small and Medium-Sized Enterprises: An Agile Roadmap toward Business Sustainability
by Lila Rao-Graham Maurice L. McNaughton Gunjan MansinghBusiness intelligence (BI) has evolved over several years as organizations have extended their online transaction processing (OLTP) capabilities and applications to support their routine operations. With online analytical processing (OLAP), organizations have also established the capability to extract internal and external data from a variety of sources to specifically obtain intelligence about non-routine and often less-structured arrangements. BI therefore refers to applications and technologies that are used to gather, provide access to, and analyze data and information about the operations of an organization. It has the capability of providing comprehensive insight into the more volatile factors affecting the business and its operations, thereby facilitating enhanced decision-making quality and contributing to the creation of business value. Larger and more sophisticated organizations have long been exploiting these capabilities. Business Intelligence for Small and Medium-Sized Enterprises (SMEs) guides SMEs in replicating this experience to provide an agile roadmap toward business sustainability. The book points out that successful BI implementations have generated significant increases in revenue and cost savings, however, the failure rates are also very high. More importantly, it emphasizes that a full range of BI capabilities is not the exclusive purview of large organizations. It shows how SMEs make extensive use of BI techniques to develop the kind of agility endowing them with the organizational capability to sense and respond to opportunities and threats in an increasingly dynamic business environment. It points to the way to a market environment in which smaller organizations could have a larger role. In particular, the book explains that by establishing the agility to leverage internal and external data and information assets, SMEs can enhance their competitiveness by having a comprehensive understanding of the key to an agile roadmap for business sustainability.
Business Intelligence for Telecommunications (Informa Telecoms & Media)
by Deepak PareekBringing together market research reports, business analyst briefings, and technology references into one comprehensive volume, Business Intelligence for Telecommunications identifies those advances in both methods and technology that are being employed to inform decision-making and give companies an edge in the rapidly growing and highly co
Business Intelligence in Microsoft® SharePoint® 2010
by Stacia Misner Mariano Teixeira Neto John Campbell Norman P. WarrenDive into the business intelligence (BI) features in SharePoint 2010--and use the right combination of tools to deliver compelling solutions. This practical guide helps you explore several BI application services available in SharePoint 2010 and Microsoft SQL Server® 2008 R2. You'll learn each technology with step-by-step instructions, and determine which ones work best in specific BI scenarios--whether you're a SharePoint administrator, SQL Server developer, or business analyst. Choose the BI tools that meet your needs--and learn how they work together Examine the BI lifecycle, from determining key performance indicators to building dashboards Take Microsoft Excel® further--gain more control and functionality with web-based Excel Services Mash up data from multiple sources using PowerPivot for Excel 2010 Create data visualizations with objects, context, and metrics using Microsoft Visio® Services Build dashboards, scorecards, and other monitoring and analysis tools with PerformancePoint® Services Use SharePoint to view BI reports side by side, no matter which tools were used to produced them Your companion web content includes: Interactive exercises that help you try out concepts or techniques Code samples that enable you to work with the exercises
Business Intelligence in Microsoft SharePoint 2013
by Stacia Misner Scott A. Helmers Mariano Teixeira Neto Norman P. Warren Ivan SandersDive into the business intelligence features in SharePoint 2013--and use the right combination of tools to deliver compelling solutions. Take control of business intelligence (BI) with the tools offered by SharePoint 2013 and Microsoft SQL Server® 2012. Led by a group of BI and SharePoint experts, you'll get step-by-step instructions for understanding how to use these technologies best in specific BI scenarios--whether you're a SharePoint administrator, SQL Server developer, or business analyst. Discover how to: Manage the entire BI lifecycle, from determining key performance indicators to building dashboardsUse web-based Microsoft Excel® services and publish workbooks on a SharePoint Server Mash up data from multiple sources and create Data Analysis Expressions (DAX) using PowerPivot Create data-driven diagrams that provide interactive processes and context with Microsoft Visio® ServicesUse dashboards, scorecards, reports, and key performance indicators to monitor and analyze your business Use SharePoint to view BI reports side by side, no matter which tools were used to produced them