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See below for a selection of the latest books from Business mathematics & systems category. Presented with a red border are the Business mathematics & systems books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Business mathematics & systems books and those from many more genres to read that will keep you inspired and entertained. And it's all free!
Agile projects require extensive direct communication between developers and the business. This means they depend more than ever on individuals who can structure those conversations for maximum benefit, and apply appropriate business analysis techniques wherever these offer value. Whatever your title or project role, this guide will help you perform these crucial tasks. Howard Podeswa walks you through an integrated case study project from inception through to completion, offering detailed, step-by-step guidance for performing analysis across the entire agile lifecycle. You'll learn which tools to use, when to use them, how to stage agile analysis, and how to adapt analysis for agile projects while protecting the chain from business needs to solutions. You'll learn how to engage more productively with the business by applying a wide range of analysis tools, including use cases, user stories, Business Process Modeling (BPM), decision tables, traceability matrices, and structural modeling. Podeswa shows how to write effective acceptance criteria for agile projects using the powerful BDD (Behavior-Driven Development) Given/When/Then template. He covers analysis for release plan preparation, sprints, backlog management, and retrospectives; and offers a full chapter of guidance on scaling analysis for large agile projects. If you're already an analyst, Podeswa will help you transition to agile. If you're an agile project owner or developer, he'll help you leverage analysis techniques to deliver far more value to your business customers.
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that's both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.
This book focuses on the Internet of Things (IoT). IoT has caught the imagination as a transformational technology that will positively impact a large and diverse array of socio-economic activities. This book explores this impact, beginning with a chapter highlighting the promises and complexities of the IoT. It then explores these in greater detail in subsequent chapters. The first of these chapters explores the patenting activity of leading companies and is followed by a discussion of the challenges faced by the growth of 'unicorns' within Europe. The fourth chapter outlines a methodology for determining when investments in IoT should occur and is followed by a discussion of how the data generated by IoT will change marketing related decisions. The scope and complexity of the regulatory and governance structures associated with the IoT are then explored in the sixth chapter. These issues are brought together in the final chapter, which identifies the opportunities and challenges emanating from the IoT and how these may be tackled. This book will be valuable reading to academics working in the field of disruptive technology, innovation management, and technological change more broadly.
This book illustrates the importance of business impact analysis, which covers risk assessment, and moves towards better understanding of the business environment, industry specific compliance, legal and regulatory landscape and the need for business continuity. The book provides charts, checklists and flow diagrams that give the roadmap to collect, collate and analyze data, and give enterprise management the entire mapping for controls that comprehensively covers all compliance that the enterprise is subject to have. The book helps professionals build a control framework tailored for an enterprise that covers best practices and relevant standards applicable to the enterprise. Presents a practical approach to assessing security, performance and business continuity needs of the enterprise Helps readers understand common objectives for audit, compliance, internal/external audit and assurance. Demonstrates how to build a customized controls framework that fulfills common audit criteria, business resilience needs and internal monitoring for effectiveness of controls Presents an Integrated Audit approach to fulfill all compliance requirements
Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running analytics on large clusters in Azure and AWS, using Apache Spark with Databricks on top. Discover how to squeeze the most value out of your data at a mere fraction of what classical analytics solutions cost, while at the same time getting the results you need, incrementally faster. This book explains how the confluence of these pivotal technologies gives you enormous power, and cheaply, when it comes to huge datasets. You will begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for the machinery in advance. From there you will learn how Apache Spark, an open source framework, can enable all those CPUs for data analytics use. Finally, you will see how services such as Databricks provide the power of Apache Spark, without you having to know anything about configuring hardware or software. By removing the need for expensive experts and hardware, your resources can instead be allocated to actually finding business value in the data. This book guides you through some advanced topics such as analytics in the cloud, data lakes, data ingestion, architecture, machine learning, and tools, including Apache Spark, Apache Hadoop, Apache Hive, Python, and SQL. Valuable exercises help reinforce what you have learned. What You Will Learn Discover the value of big data analytics that leverage the power of the cloud Get started with Databricks using SQL and Python in either Microsoft Azure or AWS Understand the underlying technology, and how the cloud and Apache Spark fit into the bigger picture See how these tools are used in the real world Run basic analytics, including machine learning, on billions of rows at a fraction of a cost or free Who This Book Is For Data engineers, data scientists, and cloud architects who want or need to run advanced analytics in the cloud. It is assumed that the reader has data experience, but perhaps minimal exposure to Apache Spark and Azure Databricks. The book is also recommended for people who want to get started in the analytics field, as it provides a strong foundation.
Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe. Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.
ERP is an industry term used for an integrated multiple-module application software package, designed to give support to specific business processes for any organisation. ERP systems have revolutionized the working of organisations by integrating all departments onto a single computer. There is a growing emphasis on the development and implementation of ERP systems in organisations as business requirements change. For ERP to be a success, it must be seamlessly integrated with the organisational culture of a business. This book focuses on various aspects of ERP systems. It covers the need for ERP systems, their evolution, the ERP market. It also offers a detailed description of various ERP modules, the ERP life cycle, implementation issues, the role of vendors and consultants in implementation, future trends, and emerging issues. The key features of this book include an extensive use of diagrams and tables, Learning Points at the end of each subtopic and Points to Remember at the end of each chapter. Exhaustive exercises at in each chapter are also provided. The book will prove useful for students of both management and technical courses. It will also serve as an excellent starting point for professionals who are involved in ERP.
This book gathers the best papers presented at the first conference held by the Russian chapter of the Association for Information Systems (AIS). It shares the latest insights into various aspects of the digitalization of the economy and the consequences of transformation in public administration, business and public life. Integrating a broad range of analytical perspectives, including economic, social and, technological, this interdisciplinary book is particularly relevant for scientists, digital technology users, companies and public institutions.
This book provides a comprehensive introduction to blockchain and distributed ledger technology. Intended as an applied guide for hands-on practitioners, the book includes detailed examples and in-depth explanations of how to build and run a blockchain from scratch. Through its conceptual background and hands-on exercises, this book allows students, teachers and crypto enthusiasts to launch their first blockchain while assuming prior knowledge of the underlying technology. How do I build a blockchain? How do I mint a cryptocurrency? How do I write a smart contract? How do I launch an initial coin offering (ICO)? These are some of questions this book answers. Starting by outlining the beginnings and development of early cryptocurrencies, it provides the conceptual foundations required to engineer secure software that interacts with both public and private ledgers. The topics covered include consensus algorithms, mining and decentralization, and many more. This is a one-of-a-kind book on Blockchain technology. The authors achieved the perfect balance between the breadth of topics and the depth of technical discussion. But the real gem is the set of carefully curated hands-on exercises that guide the reader through the process of building a Blockchain right from Chapter 1. Volodymyr Babich, Professor of Operations and Information Management, McDonough School of Business, Georgetown University An excellent introduction of DLT technology for a non-technical audience. The book is replete with examples and exercises, which greatly facilitate the learning of the underlying processes of blockchain technology for all, from students to entrepreneurs. Serguei Netessine, Dhirubhai Ambani Professor of Innovation and Entrepreneurship, The Wharton School, University of Pennsylvania Whether you want to start from scratch or deepen your blockchain knowledge about the latest developments, this book is an essential reference. Through clear explanations and practical code examples, the authors take you on a progressive journey to discover the technology foundations and build your own blockchain. From an operations perspective, you can learn the principles behind the distributed ledger technology relevant for transitioning towards blockchain-enabled supply chains. Reading this book, you'll get inspired, be able to assess the applicability of blockchain to supply chain operations, and learn from best practices recognized in real-world examples. Ralf W. Seifert, Professor of Technology and Operations Management at EPFL and Professor of Operations Management at IMD
This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For introductory courses in Information Systems or Management Information Systems. An authoritative, engaging introduction to MIS Essentials of MIS is an in-depth look at how today's businesses use information technologies and systems to achieve their corporate objectives. Current real-world business cases illustrate how companies have identified, and ultimately solved, key business challenges using information systems and technologies. Through the use of Essentials of MIS, students will be able to participate in, and even lead, management discussions of information systems for a firm. The 14th Edition consists of 12 chapters with hands-on projects that cover the most essential topics in MIS, all updated with new figures, tables, and cases. In addition to the core text, this edition includes a Video Case Package consisting of 28 video case studies and 10 instructional videos to illustrate business uses of information systems, explain new technologies, and explore concepts. The knowledge and information in this book will be most valuable to students - regardless of major - throughout their business careers. Pearson MyLab MIS is not included. Students, if Pearson MyLab MIS is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab MIS should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. Reach every student by pairing this text with Pearson MyLab MIS MyLab (TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.
The impacts of the digital transformation on society in general, and particularly on people's lives, are the subject of increasing debate among policymakers, researchers and industry. This book explores the challenges of this new revolution, identifies solutions, and demonstrates how knowledge management can enable the transition process associated with the digital transformation, guided by the principles of sustainability. Featuring contributions by experts from diverse areas of science and business - on topics ranging from the digital transformation of knowledge management in the public sector, to the creation of sustainable smart cities, regions and countries, and from using AI for business models to food security - it provides a comprehensive discourse on the digital transformation's impacts on employment, education, governance, social life, sustainability, values, the economy and democracy.
This book provides valuable insights into the Kingdom of Saudi Arabia (KSA) through a comprehensive examination of Vision 2030, an ambitious economic plan by the KSA to reinvent and diversify its economy from a heavy dependence on hydrocarbon to knowledge-based resources. Research, Innovation and Entrepreneurship in Saudi Arabia: Vision 2030 discusses how this initiative will assist the government in achieving its envisioned goals by creating a culture of research, innovation and entrepreneurship. It studies the current state of the field as well as new policies and reforms in Saudi Arabia which encompass education systems, ICT infrastructure and a vibrant innovation landscape that includes academia, the public and private sectors and civil society. The authors present a number of real-life case studies as a model of inspiration for cross-sector development. The book provides a source of inspiration for other nations in studying the KSA's determined and ambitious plans as a country in a transitioning journey, from a natural resources-based economy towards a knowledge-based country with considerable diversification in all sectors. This book is a useful reference for students, researchers and policy and decision-makers in understanding Saudi innovation and the economic diversification ecosystem.