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Business Information Systems: 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II (Lecture Notes in Business Information Processing #354)
by Witold Abramowicz Rafael CorchueloThe two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd International Conference on Business Information Systems, BIS 2019, held in Seville, Spain, in June 2019. The theme of the BIS 2019 was "Data Science for Business Information Systems", inspiring researchers to share theoretical and practical knowledge of the different aspects related to Data Science in enterprises. The 67 papers presented in these proceedings were carefully reviewed and selected from 223 submissions. The contributions were organized in topical sections as follows: Part I: Big Data and Data Science; Artificial Intelligence; ICT Project Management; and Smart Infrastructure. Part II: Social Media and Web-based Systems; and Applications, Evaluations and Experiences.
Business Information Systems: 23rd International Conference, BIS 2020, Colorado Springs, CO, USA, June 8–10, 2020, Proceedings (Lecture Notes in Business Information Processing #389)
by Gary Klein Witold AbramowiczThis book constitutes the proceedings of the 23rd International Conference on Business Information Systems, BIS 2020, which was planned to take place in Colorado Springs, CO, USA. Due to the COVID-19 pandemic, the conference was held fully online during June 8–10, 2020. This year's theme was "Data Science and Security in Business Information Systems". The 30 contributions presented in this volume were carefully reviewed and selected from 86 submissions. The book also contains two contributions from BIS 2019. The papers were organized in the following topical sections: Data Security, Big Data and Data Science, Artificial Intelligence, ICT Project Management, Applications, Social Media, Smart Infrastructures.
Business Information Systems: 25th International Conference, BIS 2025, Poznań, Poland, June 25–27, 2025, Proceedings (Lecture Notes in Business Information Processing #554)
by Krzysztof WęcelThis book constitutes the proceedings of the 25th International Conference on Business Information Systems, BIS 2025, which took place in Poznan, Poland, during June 25-27, 2025. This year's theme was "AI-driven business transformation: challenges and opportunities". The 19 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 54 submissions. The papers were organized in the following topical sections: Artificial intelligence in management; artificial intelligence for visualization; artificial intelligence for language processing; process mining; finance and privacy; data platforms and deployment; sustainable operations and smart automation.
Business Innovation for the Post-pandemic Era in Vietnam
by Hung Nguyen Nguyen Hoang Thuan 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
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 & 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 (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 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 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 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 Data Analytics: Proceedings of BIDA 2024 (Smart Innovation, Systems and Technologies #413)
by Abhishek Verma Avinash Chandra Pandey Justin ZhangThis book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2024), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2024. The book covers state-of-the-art research articles from the researchers and practitioners working in the field of business intelligence, data analytics, decision support systems, data warehousing and data mining, big data analytics, predictive and prescriptive analytics, and machine learning for business applications and their real-world applications.
Business Intelligence and Information Technology: Proceedings of BIIT 2022 (Smart Innovation, Systems and Technologies #358)
by Aboul Ella Hassanien Zhijie Zhao Zhipeng Fan Dequan ZhengThis 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 Zhijie Zhao Zhipeng Fan Dequan ZhengThis 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 Enterprise Internet of Things (EAI/Springer Innovations in Communication and Computing)
by Syed Abdul Rehman Khan Anandakumar Haldorai Arulmurugan RamuThis 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 Gunjan Mansingh Lila Rao-Graham Maurice L. McNaughtonBusiness 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 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
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 with Databricks SQL: Concepts, tools, and techniques for scaling business intelligence on the data lakehouse
by Vihag GuptaMaster critical skills needed to deploy and use Databricks SQL and elevate your BI from the warehouse to the lakehouse with confidenceKey FeaturesLearn about business intelligence on the lakehouse with features and functions of Databricks SQLMake the most of Databricks SQL by getting to grips with the enablers of its data warehousing capabilitiesA unique approach to teaching concepts and techniques with follow-along scenarios on real datasetsBook DescriptionIn this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse – a new type of data platform system that aims to unify all data analytics into a single platform. Databricks, with its Databricks SQL product suite, is the hottest lakehouse platform out there, harnessing the power of Apache Spark™, Delta Lake, and other innovations to enable data warehousing capabilities on the lakehouse with data lake economics. This book is a comprehensive hands-on guide that helps you explore all the advanced features, use cases, and technology components of Databricks SQL. You'll start with the lakehouse architecture fundamentals and understand how Databricks SQL fits into it. The book then shows you how to use the platform, from exploring data, executing queries, building reports, and using dashboards through to learning the administrative aspects of the lakehouse – data security, governance, and management of the computational power of the lakehouse. You'll also delve into the core technology enablers of Databricks SQL – Delta Lake and Photon. Finally, you'll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse. By the end of this book, you'll have mastered Databricks SQL and be able to deploy and deliver fast, scalable business intelligence on the lakehouse.What you will learnUnderstand how Databricks SQL fits into the Databricks Lakehouse PlatformPerform everyday analytics with Databricks SQL Workbench and business intelligence toolsOrganize and catalog your data assetsProgram the data security model to protect and govern your dataTune SQL warehouses (computing clusters) for optimal query experienceTune the Delta Lake storage format for maximum query performanceDeliver extreme performance with the Photon query execution engineImplement advanced data ingestion patterns with Databricks SQLWho this book is forThis book is for business intelligence practitioners, data warehouse administrators, and data engineers who are new to Databrick SQL and want to learn how to deliver high-quality insights unhindered by the scale of data or infrastructure. This book is also for anyone looking to study the advanced technologies that power Databricks SQL. Basic knowledge of data warehouses, SQL-based analytics, and ETL processes is recommended to effectively learn the concepts introduced in this book and appreciate the innovation behind the platform.
Business Intelligence with Looker Cookbook: Create BI solutions and data applications to explore and share insights in real time
by Khrystyna GrynkoUse Looker for visualizing data, data analysis, and reporting, and learn how to connect to your data, build dashboards and reports, and share insights with your teamKey FeaturesExplore data visualization, analysis, and reporting with Looker to gain insights from your dataConnect to data sources, build dashboards, and create reports to track and share key metricsShare insights with your team to make better business decisionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionLooker is a data analytics and business intelligence platform that allows organizations to explore, analyze, and visualize their data. It provides tools for data modeling, exploration, and visualization, enabling you to gain insights from your data to make informed business decisions. You’ll start with the basics, from setting up your Looker environments to configuring views and models using LookML. As you progress, you’ll delve into more advanced topics, such as navigating data in Explore, tailoring dashboards to your needs, and adding dynamic elements for interactivity. Along the way, you'll gain invaluable troubleshooting skills to tackle common issues and optimize your Looker usage, ensuring a smooth and seamless experience. Furthermore, the book extends your understanding beyond the basics, equipping you with the knowledge you need to develop Looker applications and seamlessly integrate them with other tools and applications. You'll also explore advanced techniques for harnessing Looker's full potential, empowering you to establish data-driven decision-making and innovation within your organization. By the end of this BI book, you'll have gained a solid understanding of how to use Looker to find important information, make tasks easier, and derive important insights.What you will learnUnderstand Looker's key components, including LookML, data models, and dashboards.Explore Looker's functionality, including custom fields, calculations, and visualizations.Work with Looker dashboards using dynamic elements like links and actions.Use different types of filters for dimensions to create dashboardsDevelop Looker applications using essential tools and frameworksExplore additional applications for the Looker organizationIntegrate Looker with other tools using APIs, connectors, and data pipelinesWho this book is forIf you’re a business analyst, data analyst, or BI developer who wants to get well-versed with the features of Looker, this book is for you. Basic knowledge of business intelligence is required to get started.
Business Intelligence with MicroStrategy Cookbook
by Davide MoraschiWritten in a cookbook style, this book will teach you through the use of recipes with examples and illustrations. Each recipe contains step-by-step instructions about everything necessary to execute a particular task.This book is intended for both BI and database developers who want to expand their knowledge of MicroStrategy. It is also useful for advanced data analysts who are evaluating different technologies. You do not need to be an SQL master to read this book, yet knowledge of some concepts like foreign keys and many-to-many relationships is assumed. Some knowledge of basic concepts such as dimensional modeling (fact tables, dimensions) will also help your comprehension of this book. No previous MicroStrategy knowledge is needed.
Business Intelligence with SQL Server Reporting Services
by Adam AspinBusiness Intelligence with SQL Server Reporting Services helps you deliver business intelligence with panache. Harness the power of the Reporting Services toolkit to combine charts, gauges, sparklines, indicators, and maps into compelling dashboards and scorecards. Create compelling visualizations that seize your audience's attention and help business users identify and react swiftly to changing business conditions. Best of all, you'll do all these things by creating new value from software that is already installed and paid for - SQL Server and the included SQL Server Reporting Services. Businesses run on numbers, and good business intelligence systems make the critical numbers immediately and conveniently accessible. Business users want access to key performance indicators in the office, at the beach, and while riding the subway home after a day's work. Business Intelligence with SQL Server Reporting Services helps you meet these need for anywhere/anytime access by including chapters specifically showing how to deliver on modern devices such as smart phones and tablets. You'll learn to deliver the same information, with similar look-and-feel, across the entire range of devices used in business today. Key performance indicators give fast notification of business unit performancePolished dashboards deliver essential metrics and strategic comparisonsVisually arresting output on multiple devices focuses attention
Business Intelligence, Computational Mathematics, and Data Analytics: First International Conference, IBCD 2024, Indore, India, August 18–19, 2024, Proceedings (Communications in Computer and Information Science #2413)
by Shishir Kumar Shandilya Fernando Ortiz-Rodríguez V. B. Gupta Jose L. Martinez-RodriguezThis book constitutes the proceedings of the First International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2024, held in Indore, India, during August 18–19, 2024. The conference focus on applied intelligence across data science, mathematics, healthcare, cybersecurity, and business analytics, and will serve as a driving force for transforming theoretical breakthroughs into practical, real-world solutions with meaningful societal impact.