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Business Economics and Finance with MATLAB, GIS, and Simulation Models

by Patrick L. Anderson

This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

Business Experiments with R

by B. D. McCullough

A unique text that simplifies experimental business design and is dedicated to the R language Business Experiments with R offers a guide and explores the fundamentals of experiment business designs. The book fills a gap in the literature with its discussion of business statistics, addressing issues such as small samples, lack of normality, and data confounding. The author—a noted expert on the topic—puts the focus on the A/B tests (and their variants) that are widely used in industry but not typically covered in business statistics textbooks. The text contains the tools needed to design and analyze two-treatment experiments (i.e., A/B tests) to answer business questions. The author highlights the strategic and technical issues involved in designing experiments that will truly affect organizations. The book then builds on the foundation laid in Part I and expands on multivariable testing. Today’s companies use experiments to solve a broad range of problems, and Business Experiments with R is an essential resource for any business student. This important text: Presents the key ideas that business students need to know about experiments Offers a series of examples, focusing on specific business questions Helps develop the ability to frame ill-defined problems and determine what data and types of analysis provide information about each problem Contains supplementary material, such as data sets available to everyone and an instructor-only companion site featuring lecture slides and an answer key Written for students of general business, marketing, and business analytics, Business Experiments with R is an important text that helps to answer business questions by highlighting the strategic and technical issues involved in designing experiments that will truly affect organizations.

Business Information Systems Workshops: BIS 2021 International Workshops, Virtual Event, June 14–17, 2021, Revised Selected Papers (Lecture Notes in Business Information Processing #444)

by Witold Abramowicz Sören Auer Milena Stróżyna

This book constitutes revised papers from the eight workshops which were held during June 2021 at the 24th International Conference on Business Information Systems, BIS 2021. The conference was planned to take place in Hannover, Germany, and changed to a fully online event due to the COVID-19 pandemic. There was a total of 67 submissions to all workshops of which 31papers were accepted for publication. The workshops included in this volume are: AKTB 2021: 12th Workshop on Applications of Knowledge-Based Technologies in Business BisEd 2021: BIS Education: Trends and Challenges DigBD 2021: 1st Workshop on Digitization in the Flux of Big Data Scenarios DigEx 2021: 3rd International Workshop on transforming the Digital Customer Experience iCRM 2021: 6th International Workshop on Integrated Social CRM QOD 2021: 4th Workshop on Quality of Open Data BITA 2021: 12th Workshop on Business and IT Alignment BSCT 2021: 4th Workshop on Blockchain and Smart Contract Technologies

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 Baslam

This 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 (eXamen.press)

by Roland M. Müller Hans-Joachim Lenz

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

by Carlo Vercellis

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)

by Esteban Zimányi

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 and Data Analytics: Proceedings of BIDA 2024 (Smart Innovation, Systems and Technologies #413)

by Abhishek Verma Justin Zhang Avinash Chandra Pandey

This 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 Modelling: Unified Approach with Simulation and Strategic Modelling in Entrepreneurship (Springer Proceedings in Business and Economics)

by Damianos P. Sakas Dimitrios K. Nasiopoulos Yulia Taratuhina

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)

by Alaa F. Sheta Aladdin Ayesh Peter Rausch

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: The Mathematics of Money

by Timothy J. Biehler

The Mathematics of Money (3rd edition) covers general financial principles and the mathematical tools needed to understand and make use of those principles. <p><p> The Mathematics of Money is intended for use in college-level business and financial mathematics courses, and it does not assume that students have any particular level of math experience other than the ability to do basic arithmetic calculations with the aid of a calculator.

Business Math

by Mary Hansen

BUSINESS MATH, 17E provides comprehensive coverage of personal and business-related mathematics. In addition to reviewing the basic operations of arithmetic, students are prepared to understand and manage their personal finances, as well as grasp the fundamentals of business finances. BUSINESS MATH, 17E prepares students to be smart shoppers, informed taxpayers, and valued employees. Basic math skills are covered in a step-by-step manner, building confidence in users before they try it alone. Spreadsheet applications are available on the Data Activities CD, and a simulation activity begins every chapter. Chapters are organized into short lessons for ease of instruction and include algebra connections, group and class activities, communication skills, and career spotlights.

Business Math

by Robert A. Schultheis Raymond M. Kaczmarski

Math is an integral part of business. Let the 15th Edition of Applied Business Math provide comprehensive coverage of personal and business-related finance. Learn the curriculum by lesson presentations that include examples with solutions. Basic math skills, spreadsheet applications, a simulation, and e-commerce are presented within each chapter. Upon completion you are prepared to understand and manage your personal finances, as well as grasp the fundamentals of business finance.

Business Math

by Robert A. Schultheis Raymond M. Kaczmarski

BUSINESS MATH provides comprehensive coverage of personal and business-related mathematics. In addition to reviewing the basic operations of arithmetic, students are prepared to understand and manage their personal finances, as well as grasp the fundamentals of business finances. Basic math skills are covered in a step-by-step manner, building confidence in users before they try it alone. Spreadsheet applications are available on the Data CD and a simulation activity begins every chapter. Chapters are organized into short lessons for ease of instruction and ease of learning.

Business Math (Math 24/7)

by Rae Simons

Have you ever thought about starting a business? Even if you just babysit . . . or mow lawns . . . or sell homemade jewelry at craft fairs, you'll need to know some basic math to help you keep track of your expenses and earnings. Businesses need math. Learn what you'll need to know to make money. Who knows where it might lead you!

Business Math Using Excel: 2nd + Cengagenow Printed Access Card (Fbla - All Ser.)

by Sharon Burton Nelda Shelton

NIMAC-sourced textbook

Business Mathematics

by Cheryl Cleaves Margie Hobbs Jeffrey Noble

For courses in business mathematics, personal finance, or small business management. <p><p> Empowers your students to manage personal finances <p> Business Math is a practical and thorough guide for students and small business owners to learn how to manage personal and business finances. The book was written on the premise that everyone needs to understand how to manage money, offering a rare deep dive into topics not always taught in class. A conversational tone, real world examples, and case studies keep complicated topics understandable and engaging. <p> The 9th Edition starts off by reviewing basic math. It then dives into topics relevant for any career such as mortgages, banking, interest, consumer credit, and more. It also touches on important topics for business owners including payroll, markup, markdown, trade discounts, business statistics and more, as well as topics for those close to business recordkeeping like government agencies, lending agencies, depreciation, inventory and financial statements.

Business Mathematics (Second Edition)

by Walter H. Lange Robert D. Mason Temoleon G. Rousos Jean B. Rogers

High School business math textbook.

Business Mathematics (Second Edition)

by Temoleon G. Rousos Walter H. Lange Robert D. Mason Jean B. Rogers

High School business math textbook.

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)

by Josef Kallrath

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 Analytics: Modeling, Simulation and Design (Textbooks in Mathematics)

by Manuel Laguna Johan Marklund

The fourth edition of this widely used textbook offers a new perspective. Previously titled Business Process Modeling, Simulation and Design, as the new title suggests, this book is about analytical business process modeling and design. However, this new edition introduces analytics to the title and to the presentation.The main objective of this book is to provide students with a comprehensive understanding of the multitude of analytical tools that can be used to model, analyze, understand, and ultimately design business processes.The most flexible and powerful of these tools, although not always the most appropriate, is discrete-event simulation. The wide range of approaches covered in this book include graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, and analytical queuing methods, as well as machine learning.The authors focus on business processes as opposed to just manufacturing processes or general operations management problems and emphasize on simulation modeling using state-of-the-art commercial simulation software.Business Process Analytics: Modeling, Simulation, and Design can be thought of as a hybrid between traditional books on process management, operations management, and simulation. The growing interest in simulation-based tools suggests that an understanding of simulation modeling, its potential as well as its limitations for analyzing and designing processes, is of key importance to students looking for a future career in operations management.Changes from the previous edition include the following: New section on data-driven process improvement (with data visualization) Added a subsection of control charts to the 6-sigma section Replaced business process reengineering with business process management Updated all text, figures, examples, and exercises to ExtendSim10 (current version) More coverage on design of experiments More coverage of machine learning and neural networks

Business Process Management: 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings (Lecture Notes in Computer Science #14940)

by Michael Rosemann Andrea Marrella Manuel Resinas Mieke Jans

This book constitutes the refereed proceedings of the 22nd International Conference on Business Process Management, BPM 2024, which took place in Krakow, Poland, in September 2024. The 29 full papers included in this book were carefully reviewed and selected from 144 submissions. They were organized in topical sections as follows: Foundations; Engineering; and Management. .

Business Process Management Forum: BPM 2024 Forum, Krakow, Poland, September 1–6, 2024, Proceedings (Lecture Notes in Business Information Processing #526)

by Michael Rosemann Andrea Marrella Manuel Resinas Mieke Jans

This book constitutes the proceedings of the BPM Forum held at the 22nd International Conference on Business Process Management, BPM 2024, which took place in Krakow, Poland, in September 2024. 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 21 papers included in this book were carefully reviewed and selected from a total of 144 submissions to the conference. The papers were organized in research tracks on foundations, engineering, and management.

Business Process Management Workshops: BPM 2022 International Workshops, Münster, Germany, September 11–16, 2022, Revised Selected Papers (Lecture Notes in Business Information Processing #460)

by Cristina Cabanillas Niels Frederik Garmann-Johnsen Agnes Koschmider

This book constitutes revised papers from the International Workshops held at the 20th International Conference on Business Process Management, BPM 2022, in Münster, Germany, during September 11-15, 2022. Papers from the following workshops are included:· 6th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2022)· 6th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2022)· 18th International Workshop on Business Process Intelligence (BPI 2022)· 2nd International Workshop on Business Process Management and Routine Dynamics (BPM&RD 2022)· 14th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2022) · 1st International Workshop on Data-Driven Business Process Optimization (BPO 2022) · 10th International Workshop on DEClarative, DECision and Hybrid approaches to processes (DEC2H 2022) · 1st International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2022) Each of the eight workshops focused on particular aspects of business process management. Overall, after a thorough review process, there were 23 full and 3 short papers selected from a total of 51 submissions. Only one of the short papers is included in the proceedings.

Business Process Management Workshops: BPM 2024 International Workshops, Krakow, Poland, September 1–6, 2024, Revised Selected Papers (Lecture Notes in Business Information Processing #534)

by Katarzyna Gdowska María Teresa Gómez-López Jana-Rebecca Rehse

This book constitutes revised papers from the International Workshops held at the 22nd International Conference on Business Process Management, BPM 2024, in Krakow, Poland, during September 2024. Each of the workshops focused on particular aspects of business process management. Overall, after a thorough review process, 28 full papers and 2 short papers were selected from a total of 64 submissions. Papers from the following workshops are included: 8th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2024) 3rd International Workshop on Data-Driven Business Process Optimization (BPO 2024) 8th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2024) 17th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2024) 3rd International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2024) International Workshop on Object-centric Processes from A to Z (OBJECTS 2024) 2nd International Workshop on Change, Drift, and Dynamics of Organizational Processes (ProDy 2024) 1st International Workshop on Managing Process Innovation and Value Creation in the Era of Digital Transformation (Innov8BPM 2024)

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