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Business Intelligence: 6th International Conference, CBI 2021, Beni Mellal, Morocco, May 27–29, 2021, Proceedings (Lecture Notes in Business Information Processing #416)

This 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)

This 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 (eXamen.press)

Das 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: Data Mining and Optimization for Decision Making

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: Data Mining and Optimization for Decision Making

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: Third European Summer School, eBISS 2013, Dagstuhl Castle, Germany, July 7-12, 2013, Tutorial Lectures (Lecture Notes in Business Information Processing #172)

To 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: Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures (Lecture Notes in Business Information Processing #138)

To 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 Second 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., machine learning, logic networks, graph mining, business semantics, large-scale data management and analysis, and multicriteria and collaborative decision making.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 and Modelling: Unified Approach with Simulation and Strategic Modelling in Entrepreneurship (Springer Proceedings in Business and Economics)

This 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)

During 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 Math For Dummies

Now, it is easier than ever before to understand complex mathematical concepts and formulas and how they relate to real-world business situations. All you have to do it apply the handy information you will find in Business Math For Dummies. Featuring practical practice problems to help you expand your skills, this book covers topics like using percents to calculate increases and decreases, applying basic algebra to solve proportions, and working with basic statistics to analyze raw data. Find solutions for finance and payroll applications, including reading financial statements, calculating wages and commissions, and strategic salary planning. Navigate fractions, decimals, and percents in business and real estate transactions, and take fancy math skills to work. You’ll be able to read graphs and tables and apply statistics and data analysis. You’ll discover ways you can use math in finance and payroll investments, banking and payroll, goods and services, and business facilities and operations. You’ll learn how to calculate discounts and markup, use loans and credit, and understand the ins and outs of math for business facilities and operations. You’ll be the company math whiz in no time at all! Find out how to: Read graphs and tables Invest in the future Use loans and credit Navigate bank accounts, insurance, budgets, and payroll Calculate discounts and markup Measure properties and handle mortgages and loans Manage rental and commercial properties Complete with lists of ten math shortcuts to do in meetings and drive your coworkers nuts and ten tips for reading annual reports, Business MathFor Dummies is your one-stop guide to solving math problems in business situations.

Business Mathematics

Business Mathematics by Example

Business Modelling: Multidisciplinary Approaches Economics, Operational, and Information Systems Perspectives (Operations Research/Computer Science Interfaces Series #16)

Business modelling is a vast arena of research and practice, which is gaining increasing important in the rapid development of e-commerce, globalization, and in particular, the movement toward global e-business. The ability to utilize advanced computing technology to model, analyse and simulate various aspects of ever-changing businesses has made a significant impact on the way businesses are designed and run these days. With the current global e-business and e-commerce initiatives, it has become important that all businesses carefully validate their business objectives, requirements, and strategies through a careful process of formal business modelling. It is important for effective enterprise decision making to have clear, concise business models that allow the extraction of critical value from business processes and specify the rules to be globally enforced. Particularly in e-business specifications, the need to be unambiguous, accurate, and complete becomes even greater, because there may be no human mediator or agent to rely on in complex or unforeseen situations. Business Modelling: Multidisciplinary Approaches - Economics, Operational, and Information Systems Perspectives, arranged in three parts, brings scholarly perspectives from various disciplines to bear on some of the critical aspects of business modeling. The first part (chapters 1-8) focuses on business modelling fundamentals and starts with a series of economics and operations research perspectives. The second part (chapters 9-19) concentrates on modelling in electronic businesses and focuses on Management Information Systems and Decision Support Systems. The third part (chapters 20-22) centers on multidisciplinary business modelling progress, in particular on the seminal work of Professor Andrew B. Whinston.

Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages (International Series in Operations Research & Management Science #307)

This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.

Business Process Management: International Conference, BPM 2003, Eindhoven, The Netherlands, June 26-27, 2003, Proceedings (Lecture Notes in Computer Science #2678)

The refereed proceedings of the International Conference on Business Process Management, BPM 2003, held in Eindhoven, The Netherlands, in June 2003. The 25 revised full papers presented together with an introductory survey article were carefully reviewed and selected from 77 submissions. Among the issues addressed are Web services, workflow modeling, business process modeling, collaborative computing, computer-supported collaborative work, workflow patterns, business process engineering, business process patterns, workflow systems, Petri nets, process services, business process reengineering, and business process management tools.

Business Process Management: 15th International Conference, BPM 2017, Barcelona, Spain, September 10–15, 2017, Proceedings (Lecture Notes in Computer Science #10445)

This book constitutes the proceedings of the 15th International Conference on Business Process Management, BPM 2017, held in Barcelona, Spain, in September 2017.The 19 revised full papers papers presented were carefully reviewed and selected from 116 initial submissions. The topics selected by the authors demonstrate an increasing interest of the research community in the area of process mining, resonated by an equally fast-growing uptake by different industry sectors. The papers are organized in topical sections on process modeling; process mining; assorted BPM topics; decisions and understanding; and process knowledge.

Business Process Management: 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings (Lecture Notes in Computer Science #13420)

This book constitutes the refereed proceedings of the 20th International Conference on Business Process Management, BPM 2022, which took place in Münster, Germany, in September 2022. The 22 papers included in this book were carefully reviewed and selected from 98 submissions. They were organized in topical sections as follows: task mining; design methods; process mining; process mining practice; analytics; and systems. The book also includes one keynote talk in full-paper length and 5 tutorial papers.

Business Process Management: 21st International Conference, BPM 2023, Utrecht, The Netherlands, September 11–15, 2023, Proceedings (Lecture Notes in Computer Science #14159)

This book constitutes the refereed proceedings of the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The 27 papers included in this book were carefully reviewed and selected from 151 submissions. They were organized in three main research tracks: Foundations, engineering, and management.

Business Process Management: 17th International Conference, BPM 2019, Vienna, Austria, September 1–6, 2019, Proceedings (Lecture Notes in Computer Science #11675)

This book constitutes the proceedings of the 17th International Conference on Business Process Management, BPM 2019, held in Vienna, Austria, in September 2019. The 23 full and 4 tutorial short papers included in this volume were carefully reviewed and selected from 115 submissions. The papers were organized in topical sections named: foundations; engineering; and management.

Business Process Management: 16th International Conference, BPM 2018, Sydney, NSW, Australia, September 9–14, 2018, Proceedings (Lecture Notes in Computer Science #11080)

This book constitutes the proceedings of the 16th International Conference on Business Process Management, BPM 2018, held in Sydney, Australia, in September 2018. The 27 papers presented in this volume were carefully reviewed and selected from 140 submissions. They were organized in topical sections named: reflections on BPM; concepts and methods in business process modeling and analysis; foundations of process discovery; alignments and conformance checking; process model analysis and machine learning; digital process innovation; and method analysis and selection.

Business Process Management Forum: BPM 2022 Forum, Münster, Germany, September 11–16, 2022, Proceedings (Lecture Notes in Business Information Processing #458)

This book constitutes the proceedings of the BPM Forum held at the 20th International Conference on Business Process Management, BPM 2022, which took place in Münster, Germany, in September 2022. The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference. The 13 full papers included in this volume were carefully reviewed and selected from 98 submissions. The papers were organized in topical sections named: modeling and design; process mining; and predictive process monitoring.

Business Process Management Forum: BPM Forum 2020, Seville, Spain, September 13–18, 2020, Proceedings (Lecture Notes in Business Information Processing #392)

This book constitutes the proceedings of the BPM Forum of the 18th International Conference on Business Process Management, BPM 2020, which was planned to take place in Seville, Spain, in September 2020. Due to the COVID-19 pandemic the conference took place virtually. The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference. The 19 papers presented in this volume were carefully reviewed and selected from a total of 125 submissions to the main conference. They were organized in topical sections named: process modeling; process mining; predictions and recommendations; BPM adoption and maturity; and standardization, change, and handoffs.

Business Process Management Forum: BPM 2023 Forum, Utrecht, The Netherlands, September 11–15, 2023, Proceedings (Lecture Notes in Business Information Processing #490)

This book constitutes the proceedings of the BPM Forum held at the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference.The 23 full papers included in this volume were carefully reviewed and selected from a total of 151 submissions to the conference. The papers were organized in research tracks on foundations, engineering, and management.

Business Process Management Forum: BPM Forum 2019, Vienna, Austria, September 1–6, 2019, Proceedings (Lecture Notes in Business Information Processing #360)

This book constitutes the proceedings of the BPM Forum held during the 17th International Conference on Business Process Management, BPM 2019, which took place in Vienna, Austria, in September 2019. The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference. The 13 full papers included in this volume were carefully reviewed and selected from a total of 115 submissions. The papers were organized in topical sections named: specification; execution; analytics; and management.

Business Process Management Forum: BPM Forum 2017, Barcelona, Spain, September 10-15, 2017, Proceedings (Lecture Notes in Business Information Processing #297)

This book constitutes the proceedings of the BPM Forum from the International Conference on Business Process Management, BPM 2017, held in Barcelona, Spain, September 2017. The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference. The volume contains 11 full papers carefully reviewed and selected from 97 submissions. Each paper was reviewed by a team comprising of a senior PC and four regular PC members who engage in a discussion phase after the initial reviews were prepared. The authors eventually receive four review reports, and a meta-review that summarizes the reviews and the discussion. The selected papers cover topics related to process models and metrics, mining and compliance, and to other innovative ideas such as gamification, smart devices and digital innovation as far as they pertain to BPM.