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Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.

Across the world, algorithms are changing the nature of work. Nowhere is this clearer than in the logistics and distribution sectors, where workers are instructed, tracked and monitored by increasingly dystopian management technologies.In Cyberboss, Craig Gent takes us into workplaces where algorithms rule to excavate the politics behind the newest form of managerial power. Combining worker testimony and original research on companies such as Amazon, Uber, and Deliveroo, the cutting edge of algorithmic management technology, this book reveals the sometimes unexpected effects these new techniques have on work, workers and managers. Gent advances an alternative politics of resistance in the face of digital control.

Now in color, this edition helps you unlock the full potential of Power BI with new recipes and comprehensive techniques on advanced data tools and AIKey FeaturesDive into Microsoft Data Fabric for deeper insights and robust data strategiesImplement Hybrid tables, create comprehensive scorecards, and establish shared cloud connections effortlesslyUncover new and updated data visualization tools that turn complex data into clear, actionable charts and reportsPurchase of the print or Kindle book includes a free eBook in PDF formatBook DescriptionSince its first edition the Power BI Cookbook has been a best-selling resource for BI developers and data analysts to produce impactful, quality BI solutions. This new and updated edition retains the rigorous details and concepts readers of prior editions have enjoyed while also demonstrating powerful new capabilities and updated guidance aligned to the current state of the platform. In this book, with step-by-step instructions, you will learn to navigate the complexities of data integration and visualization in Power BI. From creating robust data models to implementing sophisticated reporting techniques, this Power BI book empowers you to make informed decisions based on actionable insights. It also introduces you to new capabilities such as Hybrid tables and scorecards, enhancing your ability to communicate and analyze business performance. It also expands and improvises on the core of the previous edition like parameterizing Power BI solutions, authoring reports, data intelligence, and integrating advanced analytics. This edition not only updates you on the latest features but also prepares you for future innovations with a preview of upcoming AI enhancements in Power BI. Whether you're refining your skills or aspiring to become an expert, this book is an invaluable resource for leveraging Power BI to its fullest potentialWhat you will learnAnalyze and integrate business data using Microsoft Data FabricCreate impactful visualizations and manage Hybrid tablesDevelop shared cloud connections and advanced scorecardsEnhance report accuracy and dynamics using real-time data processingImplement efficient data governance and security measures within Power BIWho this book is forThis book is designed for data analysts, business intelligence professionals, and anyone involved in data processing or analytics who seeks to enhance their skills with Power BI's latest features and prepare for future advancements in the field

In a world undergoing rapid technological evolution, this is your indispensable guide to thriving in the digital age. Digital Transformation Roadmap: From Vision to Execution offers a comprehensive exploration of the Fourth Industrial Revolution by presenting a roadmap for leveraging technology to revolutionize businesses, strategy, and innovation.Embark on a journey that unveils the dynamic interplay between technology and business. Discover the evolution of tech life cycles, the significance of digital transformation, and the key domains of change reshaping industries. Explore strategies to gain competitive advantage, from reimagining business models to aligning digital visions with organizational goals. Experience a holistic approach to digital transformation.Learn how to empower employees, foster a culture of innovation, and navigate change adeptly. Delve into the world of emerging technologies such as AI, IoT, and blockchain, and harness their potential to open new avenues for growth.From cybersecurity roadmaps to measuring system performance, uncover essential practices to ensure the resilience and success of digital initiatives. Master the art of delivering exceptional digital customer experiences and harnessing the value of data.Whether you're a business leader, strategist, or tech enthusiast, this book equips you with actionable insights, practical strategies, and a forward-thinking mindset to drive change and thrive in the digital landscape.

Get started with Microsoft Intune and explore its many facets, including task automation with Microsoft GraphKey FeaturesCreate and configure your new mobile device management (MDM) environmentBecome an Intune pro by mastering compliance policies, monitoring techniques, reporting practices, and application deployment proceduresLearn how to manage Windows, Android, iOS, and macOS devices using IntunePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMicrosoft Intune is a cloud-managed mobile device management (MDM) tool that empowers you to manage your end-user device estate across various platforms. While it is an excellent platform, the initial setup and configuration can be a daunting process, and mistakes made early on can be more challenging to resolve later. This book addresses these issues by guiding you through the end-to-end configuration of an Intune environment, incorporating best practices and utilizing the latest functionalities. In addition to setting up your environment, you'll delve into the Microsoft Graph platform to understand the underlying mechanisms behind the web GUI. This knowledge will enable you to automate a significant portion of your daily tasks using PowerShell. By the end of this book, you'll have established an Intune environment that supports Windows, Apple iOS, Apple macOS, and Android devices. You'll possess the expertise to add new configurations, policies, and applications, tailoring an environment to your specific requirements. Additionally, you'll have the ability to troubleshoot any issues that may arise and package and deploy your company applications. Overall, this book is an excellent resource for anyone who wants to learn how to use Microsoft Intune to manage their organization's end-user devices.What you will learnSet up your Intune tenant and associated platform connectionsCreate and deploy device policies to your organization's devicesFind out how to package and deploy your applicationsExplore different ways to monitor and report on your environmentLeverage PowerShell to automate your daily tasksUnderstand the underlying workings of the Microsoft Graph platform and how it interacts with IntuneWho this book is forThis book is for IT professionals, end-user device administrators, and system administrators looking to transition to cloud-managed devices or enhance their current environment.

A step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can't control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big data Learn to define success and failure in analytics and big data projects Set your organization up for analytics success by identifying problems that have big data solutions Bring together the people, the tools, and the strategies that are right for the jobBy learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.

We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software tools to assist us. Several interactive exercises support us in deepening the understanding and keep us engaged with the material.This book is appropriate for master students but can be used for undergraduate students. Practitioners will also benefit from the readily available tools. The material was especially designed for Business Analytics degrees with a focus on Data Science and can also be used for machine learning or artificial intelligence classes. This entry-level book is ideally suited for a wide range of disciplines wishing to gain actionable data insights in a practical manner.

Within information sciences and organizational management, a pressing challenge emerges; how can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking. Unleashing the power of AI and transforming data analytics in organizational management requires a groundbreaking solution. AI and Data Analytics Applications in Organizational Management, edited by Tereza Merlo from The University of North Texas, stands as a beacon of insight and powerful knowledge amidst the AI-driven storm, offering a comprehensive and accessible guide that equips scholars, practitioners, and researchers to bridge the gap between AI and data analytics. With a firm grasp on the rapid evolution of AI techniques and their applications across industries, this book does not just explore these topics; it empowers stakeholders to master the applications within their industy. This book combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change.

This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing.

Discover the secret to productive IT-business alignment In The Technology Doesn't Matter: Prioritizing the People in IT Business Alignment, veteran IT executive Rachel Lockett delivers an engaging and insightful discussion of how to turn around IT departments struggling to effectively collaborate with their business counterparts. In the book, you'll explore the proven and established People-Process-Technology framework and break down innovative approaches to IT-business alignment in a clear and accessible style. The author explains how to “manage up” and “manage down” to create inter- and intra-departmental synergy, as well as: How to identify the four types of business leaders, and the ways they can contribute to an effective IT business alignment Practical solutions to even the most seemingly intractable technology alignment problems Hands-on professional development guidance for IT and business leadersAn essential and original resource for executives, managers, directors, founders, entrepreneurs, and other business leaders, The Technology Doesn't Matter will also appeal to tech leaders and technology service providers seeking to better communicate with non-technical professionals. It's also a practical handbook for business leaders who want to better understand, relate to, and collaborate with their IT colleagues, improve engagement and retention amongst IT employees, and align the interests of technical and non-technical professionals.

Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations. Value-Driven Data explores how organizations can understand their problems and come up with better solutions, aligning data storytelling with business needs. The book reviews the main challenges that plague most data-to-business interactions and offers actionable strategies for effective data value implementation, including methods for tackling obstacles and incentivizing change. Value-Driven Data is supported by tried-and-tested frameworks that can be applied to different contexts and organizations. It features cutting-edge examples relating to digital transformation, data strategy, resolving conflicts of interests, building a data P&L and AI value prediction methodology. Recognizing different types of data value, this book presents tangible methodologies for identifying, capturing, communicating, measuring and deploying data-enabled opportunities. This is essential reading for data specialists, business stakeholders and leaders involved in capturing and executing data value opportunities for organizations and for informing data value strategies.

Adhering to the combination of theoretical introduction and practical case introduction, this book summarizes the basic concepts and methods in management and big data analysis at home and abroad and introduces a large number of relevant practical cases, especially new cases in the Internet era, to help readers integrate theoretical knowledge into practical applications. The chapters of this book are interrelated and independent of each other, making it easy for the reader to study in pieces or to delve deeper into a particular topic of interest. Covering an array of theories about management and big data at home and abroad, this book lays a solid foundation for being an authentic manager. It is organized into sections on decision-making, organization, leadership, control, innovation, and big data to fully dissect and summarize the basic concepts of these characters in management and to show the basic methods that managers can use to solve problems. Each section contains a large number of examples to demonstrate how entrepreneurs successfully manage their large companies and overcome the difficulties in the business, utilizing the corresponding management functions or big data technology. Further, in order to adapt to the development of the Internet era, this book also absorbs a lot of practice cases of management innovation and big data which have emerged in recent years based on advanced network platform and big data analysis. This book puts great emphasis on the innovative function of management, adding more comprehensive methods and more updated cases related to the Internet.

As digital technology continues to revolutionize the world, businesses are also evolving by adopting digital technologies such as artificial intelligence, digital marketing, and analytical methods into their daily practices. Due to this growing adoption, further study on the potential solutions modern technology provides to businesses is required to successfully apply it across industries. AI-Driven Intelligent Models for Business Excellence explores various artificial intelligence models and methods for business applications and considers algorithmic approaches for business excellence across numerous fields and applications. Covering topics such as business analysis, deep learning, machine learning, and analytical methods, this reference work is ideal for managers, business owners, computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

MACHINE LEARNING FOR BUSINESS ANALYTICS An up-to-date introduction to a market-leading platform for data analysis and machine learning Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd ed. offers an accessible and engaging introduction to machine learning. It provides concrete examples and case studies to educate new users and deepen existing users'understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd ed. readers will also find: Updated material which improves the book's usefulness as a reference for professionals beyond the classroom Four new chapters, covering topics including Text Mining and Responsible Data Science An updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbook A guide to JMP Pro®'s new features and enhanced functionality Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd ed. is ideal for students and instructors of business analytics and data mining classes, as well as data science practitioners and professionals in data-driven industries.

Es lässt sich nicht leugnen, dass das 21. Jahrhundert datengesteuert ist, wobei viele digitale Branchen auf die sorgfältige Erfassung und Analyse großer Mengen von Informationen angewiesen sind. Ein Chief Data Officer (CDO) in einem Unternehmen ist der Leiter dieses Prozesses, was diese Position oft zu einer Herausforderung macht. Das Chief Data Officer Management Handbook soll hier Abhilfe schaffen.In diesem Buch gibt der Autor Martin Treder Ratschläge, wie CDOs besser auf ihren Verantwortungsbereich vorbereitet werden können, wie sie einen nachhaltigeren Ansatz entwickeln und wie sie die typischen Fallstricke vermeiden können. Basierend auf den positiven und negativen Erfahrungen aktueller CDOs hilft das Chief Data Officer Management Handbook dabei, die ideale Struktur eines Datenbüros zu entwerfen, sie zu implementieren und die richtigen Leute an Bord zu holen.Wichtige Themen wie die Datenversorgungskette, die Datenstrategie und die Data Governance werden vonTreder sorgfältig behandelt. Als CDO ist es wichtig, dass Sie Ihre Position mit Ihrem gesamten Team effektiv nutzen. Das Chief Data Officer Management Handbook ermöglicht es allen Mitarbeitern, die Verantwortung für die Zusammenarbeit im Bereich Daten zu übernehmen. Daten sind die Grundlage heutiger und zukünftiger technologischer Innovationen, und Sie könnten die Führungspersönlichkeit sein, die die nächste große Veränderung bewirkt.Was Sie lernen werden:Wichtige Elemente eines effektiven Datenmanagements anwendenSie erhalten einen umfassenden Überblick über alle Datenbereiche (die oft unabhängig voneinander verwaltet werden) Arbeiten Sie mit der Datenversorgungskette, von der Datenerfassung bis zur Datennutzung, einer Überprüfung aller relevanten Interessengruppen, der Datenstrategie und der DatenverwaltungFür wen ist dieses Buch gedacht?CDOs, Datenverantwortliche, Datenberater und alle Fachleute, die verstehenwollen, wie ein Datenbüro in einer Organisation funktioniert.

This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organizational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors'holistic approach is unique in the field.From a universalist perspective, the book examines and analyzes the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organization management, business ecosystems, data processing models in AI-based organizations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book.This timely and important book will appeal to scholars and students across the fields of organizational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more.

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Data is a valuable corporate asset and its effective management is vital to an organisation's success and survival. With this book you will learn to master the key principles of data management and use them to implement best practices in your organization. This professional guide covers all the key areas of data management, including database development and corporate data modelling. It is business-focused, providing the knowledge and techniques required to successfully implement the data management function. This fully updated new edition provides new chapters on the most important data topics such as big data, artificial intelligence, linked data and concept systems. Principles of Data Management is fully aligned with syllabus for the BCS Professional Certificate in Data Management Essentials, making this the go-to text to unlocking the value of your data. Ideal for business managers and all involved in the development of information systems as well as data management professionals Comprehensive and descriptive view of data management Suitable for all levels, from beginners to advanced learners Must-read for anyone involved in the development of systems to manage data

Bring your data to life with this accessible yet fast-paced introduction to Power BI, now in color.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn faster with practical examples of the latest features of Power BI, including navigator buttons, column-level security, visualizing goals, and moreMigrate your existing Excel and data analysis skills to Power BIBuild accurate analytical models, reports, and dashboards, now in full colorBook DescriptionUpdated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You'll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.Throughout this book, you'll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You'll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there's an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.As you progress, you'll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You'll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.By the end of this Power BI book, you'll know how to get the most out of Power BI for better business intelligence.What you will learnConnect to data sources using import, DirectQuery, and live connection optionsUse Power Query Editor for data transformation and data cleansing processes, and write M and R scripts and dataflows to do the same in the cloudDesign effective reports with built-in and custom visuals to optimize user experienceImplement row-level and column-level security in your dashboardsAdminister a Power BI cloud tenant for your organizationUse built-in AI capabilities to enhance Power BI data transformation techniquesDeploy your Power BI Desktop files into Power BI Report ServerWho this book is forThis book is for aspiring business intelligence and data professionals with a basic understanding of BI concepts, who want to learn Power BI quickly. Complete beginners with no BI background can also get plenty of useful information from this book.

Revolutionize your data-driven presentations with this simple and actionable guide In Winning The Room: Creating and Delivering an Effective Data-Driven Presentation, analytics and data science expert Bill Franks delivers a practical and eye-opening exploration of how to present technical data and results to non-technical audiences in a live setting. Although framed with examples from the analytics and data science space, this book is perfect for anyone expected to present data-driven information to others. The book offers various specific tips and strategies that will make data-driven presentations much clearer, more intuitive, and easier to understand. Readers will discover: How to avoid common mistakes that undercut a presentation's credibility Instructive and eye-catching visuals that illustrate how to drive a presenter's points home and help the reader to retain the information Specific and actionable techniques to dramatically improve a presentation's clarity and impact Ideal for anyone expected to present to managers, executives, and other business leaders, Winning The Room is required reading for everyone seeking to improve the quality and efficacy of their data-driven presentations and communications.

This book explores the role that data analysis plays in the managerial decision-making process. The author presents the notion of'beyond analytics,'which proposes that through data collection managers evaluate patterns in business processes through models of cognitive representation, framing and modeling, and knowledge creation in businesses. The book focuses on how the massive amounts of business data can be reduced to manageable volumes, thus allowing managers to make informed decisions. Further, it relates beyond analytics to HR aspects of the business and succession planning. This book will inform organizational behavioral theorists how the management of data impacts the decision-making process in organizations.

Value Stream Mapping for Internal Logistics using Process Mining

Artificial intelligence (AI) has captured our imaginations—and become a distraction. Too many leaders embrace the oversized narratives of artificial minds outpacing human intelligence and lose sight of the original problems they were meant to solve.When businesses try to “do AI,” they place an abstract solution before problems and customers without fully considering whether it is wise, whether the hype is true, or how AI will impact their organization in the long term. Often absent is sound reasoning for why they should go down this path in the first place. Doing AI explores AI for what it actually is—and what it is not— and the problems it can truly solve. In these pages, author Richard Heimann unravels the tricky relationship between problems and high-tech solutions, exploring the pitfalls in solution-centric thinking and explaining how businesses should rethink AI in a way that aligns with their cultures, goals, and values. As the Chief AI Officer at Cybraics Inc., Richard Heimann knows from experience that AI-specific strategies are often bad for business. Doing AI is his comprehensive guide that will help readers understand AI, avoid common pitfalls, and identify beneficial applications for their companies. This book is a must-read for anyone looking for clarity and practical guidance for identifying problems and effectively solving them, rather than getting sidetracked by a shiny new “solution” that doesn't solve anything.

This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today's information challenges and shows how businesses can adapt big data for effective businesses practices.This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance.Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and moreUse automated machine learning to implement a specific subset of use cases with SageMaker AutopilotDive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deploymentTie everything together into a repeatable machine learning operations pipelineExplore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache KafkaLearn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

This fully revised and updated edition of the bestselling Chief Data Officer's Playbook offers new insights into the role of the CDO and the data environment. Written by two of the world's leading experts in data driven transformation, it addresses the changes that have taken place in ‘data', in the role of the ‘CDO', and the expectations and ambitions of organisations. Most importantly, it will place the role of the CDO into the context of a c-suite player for organisations that wish to recover quickly and with long-term stability from the current global economic downturn.New coverage includes: the evolution of the CDO role, what those changes mean for organisations and individuals, and what the future might hold a focus on ethics, the data revolution and all the areas that help readers take their first steps on the data journey new conversations and experiences from an alumni of data leaders compiled over the past three years new chapters and reflections on being a third generation CDO and on working across a broad spectrum of organisations who are all on different parts of their data journey. Written in a highly accessible and practical manner, The Chief Data Officer's Playbook, Second Edition brings the most up-to-date guidance to CDO's who wish to understand their position better; to those aspiring to become CDO's; to those who might be recruiting a CDO and to recruiters to understand an organisation seeking a CDO and the CDO landscape.

From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech. For them and other professionals, having some basic coding knowledge is a must.This book is an introduction to programming with Python for MBA students and others in business positions who need a crash course. One of the most popular programming languages, Python is used for tasks such as building and running websites, data analysis, machine learning, and natural-language processing. Drawing on years of experience providing instruction in this material at Columbia Business School as well as extensive backgrounds in technology, entrepreneurship, and consulting, Mattan Griffel and Daniel Guetta teach the basics of programming from scratch. Beginning with fundamentals such as variables, strings, lists, and functions, they build up to data analytics and practical ways to derive value from large and complex datasets. They focus on business use cases throughout, using the real-world example of a major restaurant chain to offer a concrete look at what Python can do. Written for business students with no previous coding experience and those in business roles that include coding or working with coding teams, Python for MBAs is an indispensable introduction to a versatile and powerful programming language.

Digital platforms are changing the rules of competition in the global economy. Until recently, it took Fortune 500 companies an average of 20 years to reach billion-dollar market valuations. Successful platforms now reach that milestone in an average of four years.In The Platform Paradox: How Digital Businesses Succeed in an Ever-Changing Global Marketplace, Wharton professor Mauro F. Guillén highlights a key incongruity in this new world. Most platforms considered to be successful have triumphed in only some, rather than all, parts of the world. There are very few truly global digital platforms.In more than three decades of studying multinational firms, Guillén has found they often misunderstand key aspects of what it takes to succeed globally, from culture and institutions to local competitive dynamics and pursuing markets in a logical sequence. Seeing multibillion-dollar companies like Amazon flounder in certain markets has led Guillén to research what it takes to create a successful global strategy.In The Platform Paradox, Guillén details: How the COVID-19 pandemic has accelerated digitization and forced companies like Airbnb to pivot and adapt; How platforms like Tinder and Uber have used local advantages to grow rapidly in different countries; How traditional companies have transformed themselves into digital platforms, like Lego undertaking a digital revolution to emerge from bankruptcy and become the'Apple of toys'; and The possibilities and limits to global expansion, as illustrated by companies like Zoom and Skype. In The Platform Paradox, Guillén offers an integrated framework for these platforms to identify and implement a digital platform strategy on a truly global scale.

This edited book provides a platform to bring together researchers, academia and industry collaborators to exchange their knowledge and work to develop better understanding about the scope of blockchain technology in business management applications of different sectors such as retail sector, supply chain and logistics, healthcare sector, manufacturing sector, judiciary, finance and government sector in terms of data quality and timeliness. The book presents original unpublished research papers on blockchain technology and business management on novel architectures, prototypes and case studies.

Learn to build an analytics community in your organization from scratch How to Build a Data Community shows readers how to create analytics and data communities within their organizations. Celebrated author Eva Murray relies on intuitive and practical advice structured as step-by-step guidance to demonstrate the creation of new data communities. How to Build a Data Community uses concrete insights gleaned from real-world case studies to describe, in full detail, all the critical components of a data community. Readers will discover: What analytics communities are and what they look like Why data-driven organizations need analytics communities How selected businesses and nonprofits have applied these concepts successfully and what their journey to a data-driven culture looked like. How they can establish their own communities and what they can do to ensure their community grows and flourishes Perfect for analytics professionals who are responsible for making policy-level decisions about data in their firms, the book is also a must-have for data practitioners and consultants who wish to make positive changes in the organizations with which they work.

This open access book explores the global challenges and experiences related to digital entrepreneurial activities, using carefully selected examples from leading companies and economies that shape world business today and tomorrow. Digital entrepreneurship and the companies steering it have an enormous global impact; they promise to transform the business world and change the way we communicate with each other. These companies use digitalization and artificial intelligence to enhance the quality of decisions and augment their business and customer operations. This book demonstrates how cloud services are continuing to evolve; how cryptocurrencies are traded in the banking industry; how platforms are created to commercialize business, and how, taken together, these developments provide new opportunities in the digitalized era. Further, it discusses a wide range of digital factors changing the way businesses operate, including artificial intelligence, chatbots, voice search, augmented and virtual reality, as well as cyber threats and data privacy management. “Digitalization mirrors the Industrial Revolution's impact. This book provides a complement of perspectives on the opportunities emanating from such a deep seated change in our economy. It is a comprehensive collection of thought leadership mapped into a very useful framework. Scholars, digital entrepreneurs and practitioners will benefit from this timely work.”Gina O'Connor, Professor of Innovation Management at Babson College, USA“This book defines and delineates the requirements for companies to enable their businesses to succeed in a post-COVID19 world. This book deftly examines how to accomplish and achieve digital entrepreneurship by leveraging cloud computing, AI, IoT and other critical technologies. This is truly a unique “must-read” book because it goes beyond theory and provides practical examples.”Charlie Isaacs, CTO of Customer Connectionat Salesforce.com, USA'This book provides digital entrepreneurs useful guidance identifying, validating and building their venture. The international authors developed new perspectives on digital entrepreneurship that can support to create impact ventures.” Felix Staeritz, CEO FoundersLane, Member of the World Economic Forum Digital Leaders Board and bestselling author of FightBack, Germany

As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

Enterprise Systems have been used for many years to integrate technology with the management of an organization but rapid technological disruptions are now creating new challenges and opportunities that require urgent consideration. This book reappraises the implementation and management of Enterprise Systems in the digital age and investigates the vital link between business processes, information technology and the Internet for an organization's competitive advantage and success. This book primarily focuses on the implementation, operation, management and integration of Enterprise Systems with fastemerging disruptive technologies such as blockchains, big data, cryptocurrencies, artificial intelligence, cloud computing, data mining and data analytics. These disruptive technologies are now becoming mainstream and the book proposes several innovations that organizations need to adopt to remain competitive within this rapidly changing landscape. In addition, it examines Enterprise Systems, their components, architecture, and applications and enlightens readers on the benefits and shortcomings of implementing them. This book contains primary research on organizations, case studies, and benchmarks ERP implementation against international best practice.

This volume carries out an evaluation of the digital transformation process for organizations, which has accelerated further with the influence of COVID-19. It provides an up-to-date perspective by addressing organizational aspects and activities of different fields in the social sciences. The contributions gathered here discuss the digital transformation of social and organizational studies related to disciplines such as public practices, human resource management, finance, education, occupational health and safety, organizational behavior, health management, management strategies, entrepreneurship, and marketing. In this way, it will be possible to see and evaluate digitalization in various aspects of organizations.

For courses in decision support systems, computerized decision-making tools, and management support systems. Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganization reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

This book aims to provide relevant theoretical frameworks and the latest empirical research findings in Internet of Things (IoT) in Management Science and Operations Research. It starts with basic concept and present cases, applications, theory, and potential future. The contributed chapters to the book cover wide array of topics as space permits. Examples are from smart industry; city; transportation; home and smart devices. They present future applications, trends, and potential future of this new discipline. Specifically, this book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning capabilities of managing IoT. This book deals with the implementation of latest IoT research findings in practice at the global economy level, at networks and organizations, at teams and work groups and, finally, IoT at the level of players in the networked environments. This book is intended for professionals in the field of engineering, information science, mathematics, economics, and researchers who wish to develop new skills in IoT, or who employ the IoT discipline as part of their work. It will improve their understanding of the strategic role of IoT at various levels of the information and knowledge organization. The book is complemented by a second volume of the same editors with practical cases.

Implement critical business processes with mySAP Business Suite to integrate key functions that add value to every facet of your organizationKey FeaturesLearn master data concepts and UI technologies in SAP systemsExplore key functions of different sales processes, order fulfillment options, transportation planning, logistics execution processes, and customer invoicingConfigure the Order to Cash process in SAP systems and apply it to your business needsBook DescriptionUsing different SAP systems in an integrated way to gain maximum benefits while running your business is made possible by this book, which covers how to effectively implement SAP Order to Cash Process with SAP Customer Relationship Management (CRM), SAP Advanced Planning and Optimization (APO), SAP Transportation Management System (TMS), SAP Logistics Execution System (LES), and SAP Enterprise Central Component (ECC). You'll understand the integration of different systems and how to optimize the complete Order to Cash Process with mySAP Business Suite. With the help of this book, you'll learn to implement mySAP Business Suite and understand the shortcomings in your existing SAP ECC environment. As you advance through the chapters, you'll get to grips with master data attributes in different SAP environments and then shift focus to the Order to Cash cycle, including order management in SAP CRM, order fulfillment in SAP APO, transportation planning in SAP TMS, logistics execution in SAP LES, and billing in SAP ECC. By the end of this SAP book, you'll have gained a thorough understanding of how different SAP systems work together with the Order to Cash process. What you will learnDiscover master data in different SAP environmentsFind out how different sales processes, such as quotations, contracts, and order management, work in SAP CRMBecome well-versed with the steps involved in order fulfillment, such as basic and advanced ATP checks in SAP APOGet up and running with transportation requirement and planning and freight settlement with SAP TMSExplore warehouse management with SAP LES to ensure high transparency and predictability of processesUnderstand how to process customer invoicing with SAP ECCWho this book is forThis book is for SAP consultants, SME managers, solution architects, and key users of SAP with knowledge of end-to-end business processes. Customers operating SAP CRM, SAP TMS, and SAP APO as part of daily operations will also benefit from this book by understanding the key capabilities and integration touchpoints. Working knowledge of SAP ECC, SAP CRM, SAP APO, SAP TMS, and SAP LES is necessary to get started with this book.

In Computational Organizational Cognition, Davide Secchi presents an innovative definition of organizational cognition using a research tradition that builds on the Embodied/Distributed/Extended Cognition (EDEC) perspectives and it is developed through agent-based computational simulation modelling. After an overview of EDEC perspectives, Computational Organizational Cognition presents four simulations which allow readers to clearly assess the advantages of agent-based computational organizational cognition (AOC) for both theory and practice. The book attempts to demonstrate how AOC is a useful if not essential instrument to explore, understand and analyze the inner complexities of organizational cognition. AOC is a powerful tool and an approach for organizational research enquiry at the service of both organizational scholars and cognitive scientists.

Das Buch zeigt Anwendungspotenziale von Künstlicher Intelligenz in verschiedenen Branchen und stellt Einsatzszenarien vor, wie eine praktische Umsetzung erfolgen kann. Ausgangsbasis ist die Beschreibung rechtlicher Aspekte, die eine europäische Regelung für Künstliche Intelligenz umfasst und die Frage nach der Zulässigkeit automatisierter Entscheidungen zum Gegenstand hat. Die Beschreibung verschiedener meist branchenbezogener Anwendungspotenziale und die Vorstellung einiger Einsatzszenarien bilden den Schwerpunkt des Themenbandes. Das Buch basiert auf der Fragestellung, wie Künstliche Intelligenz in der unternehmerischen Praxis eingesetzt werden kann. Es bietet wichtige Informationen, die für Praktiker ebenso relevant sind wie für Studierende und Lehrende.

Martin Schymanietz explores dynamic capabilities that help organizations to cope with the challenges and chances of the utilization of data for service provision. Data-driven service innovation provides a fruitful pathway for organizations to extend their current offerings, deepen customer relationships and increase revenues. He examines the nature of data-driven service innovation, accompanied challenges and identifies relevant actors and their roles on an individual level. This approach helps organizations to develop dynamic capabilities based on individual actors that in sum shape the whole organization.

Analyze company data quickly and easily using Microsoft's powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals. Beginning Power BI is a hands-on, activity-based guide that takes you through the process of analyzing your data using the tools that that encompass the core of Microsoft's self-service BI offering. Starting with Power Query, you will learn how to get data from a variety of sources, and see just how easy it is to clean and shape the data prior to importing it into a data model. Using Power BI tabular and the Data Analysis Expressions (DAX), you will learn to create robust scalable data models which will serve as the foundation of your data analysis. From there you will enter the world of compelling interactive visualizations to analyze and gain insight into your data. You will wrap up your Power BI journey by learning how to package and share your reports and dashboards with your colleagues. Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This third edition covers the new and evolving features in the Power BI platform and new chapters on data flows and composite models. This book is your hands-on guide to quick, reliable, and valuable data insight. What You Will Learn Simplify data discovery, association, and cleansingBuild solid analytical data models Create robust interactive data presentations Combine analytical and geographic data in map-based visualizations Publish and share dashboards and reports Who This Book Is For Business analysts, database administrators, developers, and other professionals looking to better understand and communicate with data

Building on the authors'previous work, this book addresses key processes and procedures used in information/data processing and management. Modern methods of business information processing, which draw on artificial intelligence, big data, and cloud-based storage and processing, are opening exciting new opportunities for doing business on the basis of information technologies. Thus, in this third book, the authors continue to explore various aspects – technological as well as business and social – of the information industries. Further, they analyze the challenges and opportunities entailed by these kinds of business.

Is your company ready for the next wave of analytics?Data analytics offer the opportunity to predict the future, use advanced technologies, and gain valuable insights about your business. But unless you're staying on top of the latest developments, your company is wasting that potential--and your competitors will be gaining speed while you fall behind.Strategic Analytics: The Insights You Need from Harvard Business Review will provide you with today's essential thinking about what data analytics are capable of, what critical talents your company needs to reap their benefits, and how to adopt analytics throughout your organization--before it's too late.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

Implement business intelligence (BI), data modeling, and data analytics within Microsoft products such as Power BI, SQL Server, and ExcelKey FeaturesUnderstand the ins and outs of DAX expressions and querying functions with the help of easy-to-follow examplesManipulate data of varying complexity and optimize BI workflows to extract key insightsCreate, monitor, and improve the performance of models by writing clean and robust DAX queriesBook DescriptionData Analysis Expressions (DAX) is known for its ability to increase efficiency by extracting new information from data that is already present in your model. With this book, you'll learn to use DAX's functionality and flexibility in the BI and data analytics domains.You'll start by learning the basics of DAX, along with understanding the importance of good data models, and how to write efficient DAX formulas by using variables and formatting styles. You'll then explore how DAX queries work with the help of examples. The book will guide you through optimizing the BI workflow by writing powerful DAX queries. Next, you'll learn to manipulate and load data of varying complexity within Microsoft products such as Power BI, SQL Server, and Excel Power Pivot. You'll then discover how to build and extend your data models to gain additional insights, before covering progressive DAX syntax and functions to understand complex relationships in DAX. Later, you'll focus on important DAX functions, specifically those related to tables, date and time, filtering, and statistics. Finally, you'll delve into advanced topics such as how the formula and storage engines work to optimize queries.By the end of this book, you'll have gained hands-on experience in employing DAX to enhance your data models by extracting new information and gaining deeper insights.What you will learnUnderstand DAX, from the basics through to advanced topics, and learn to build effective data modelsWrite and use DAX functions and expressions with the help of hands-on examplesDiscover how to handle errors in your DAX code, and avoid unwanted resultsLoad data into a data model using Power BI, Excel Power Pivot, and SSAS TabularCover DAX functions such as date, time, and time intelligence using code examplesGain insights into data by using DAX to create new informationUnderstand the DAX VertiPaq engine and how it can help you optimize data modelsWho this book is forThis book is for data analysts, business analysts, BI developers, or SQL users who want to make the best use of DAX in the BI and data analytics domain with the help of examples. Some understanding of BI concepts is mandatory to fully understand the concepts covered in the book.

Solve real-world business problems by learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI, SQL Server, and Excel.Key FeaturesLearn to write sophisticated DAX queries to solve business intelligence and data analytics challengesHandle performance issues and optimization within the data model, DAX calculations and moreSolve business issues with Microsoft Excel, Power BI, and SQL Server using DAX queriesBook DescriptionDAX provides an extra edge by extracting key information from the data that is already present in your model. Filled with examples of practical, real-world calculations geared toward business metrics and key performance indicators, this cookbook features solutions that you can apply for your own business analysis needs.You'll learn to write various DAX expressions and functions to understand how DAX queries work. The book also covers sections on dates, time, and duration to help you deal with working days, time zones, and shifts. You'll then discover how to manipulate text and numbers to create dynamic titles and ranks, and deal with measure totals. Later, you'll explore common business metrics for finance, customers, employees, and projects. The book will also show you how to implement common industry metrics such as days of supply, mean time between failure, order cycle time and overall equipment effectiveness. In the concluding chapters, you'll learn to apply statistical formulas for covariance, kurtosis, and skewness. Finally, you'll explore advanced DAX patterns for interpolation, inverse aggregators, inverse slicers, and even forecasting with a deseasonalized correlation coefficient.By the end of this book, you'll have the skills you need to use DAX's functionality and flexibility in business intelligence and data analytics.What you will learnUnderstand how to create common calculations for dates, time, and durationCreate key performance indicators (KPIs) and other business calculationsDevelop general DAX calculations that deal with text and numbersDiscover new ideas and time-saving techniques for better calculations and modelsPerform advanced DAX calculations for solving statistical measures and other mathematical formulasHandle errors in DAX and learn how to debug DAX calculationsUnderstand how to optimize your data modelsWho this book is forBusiness users, BI developers, data analysts, and SQL users who are looking for solutions to the challenges faced while solving analytical operations using DAX techniques and patterns will find this book useful. Basic knowledge of the DAX language and Microsoft services is mandatory.

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book. Features:Teaches the statistical analysis skills needed to support business decisionsProvides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data setsIncludes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies

This book constitutes revised papers from the five workshops which were held during June 2020 at the 23rd International Conference on Business Information Systems, BIS 2020. The conference was planned to take place in Colorado Springs, CO, USA. Due to the COVID-19 pandemic it changed to a virtual format. There was a total of 54 submissions to all workshops of which 26 papers were accepted for publication. The workshops included in this volume are: BITA 2020: 11th Workshop on Business and IT Alignment BSCT 2020: 3rd Workshop on Blockchain and Smart Contract Technologies DigEX 2020: 2nd International Workshop on transforming the Digital Customer Experience iCRM 2020: 5th International Workshop on Intelligent Data Analysis in Integrated Social CRM QOD 2020: 3rd Workshop on Quality of Open Data

Waren Methoden der Künstlichen Intelligenz (KI) bis vor wenigen Jahren noch ausschließlich ein Thema von wissenschaftlichen Diskussionen, so finden sie heute zunehmend Eingang in Produkte des täglichen Lebens. Gleichzeitig wächst die Menge der produzierten und verfügbaren Daten aufgrund der zunehmenden Digitalisierung, der Integration digitaler Mess- und Regelsysteme und des automatischen Austausches zwischen Geräten (Internet of Things). Dabei wird zukünftig der Einsatz von Business Intelligence (BI) und ein Blick in die Vergangenheit für die meisten Unternehmen nicht mehr ausreichen.Um in Zukunft im Wettbewerb bestehen zu können, wird vielmehr Business Analytics benötigt, also vorausschauende und prädiktive Analysen und automatisierte Entscheidungen. Die Nutzung der wachsenden Datenmengen ist dabei eine bedeutende Herausforderung und einen der wichtigsten Bereiche der Datenanalyse stellen Methoden der Künstliche Intelligenz dar.Das Buch führt in komprimierter Form in die essenziellen Aspekte des Einsatzes von Methoden der Künstlichen Intelligenz für Business Analytics ein, stellt das Maschinelle Lernen und die wichtigsten Algorithmen in verständlicher Form anhand des Business Analytics Technologieframeworks vor und zeigt Anwendungsszenarien aus verschiedenen Branchen. Dazu liefert es mit dem Business Analytics Model for Artificial Intelligence ein Referenzvorgehensmodell zur Strukturierung von BA- und KI-Projekten im Unternehmen.

Most information systems textbooks overwhelm business students with overly technical information they may not need in their careers. This textbook takes a new approach to the required information systems course for business majors. For each topic covered, the text highlights key'Take-Aways'that alert students to material they will need to remember during their careers. Sections titled'Where You Fit In'and'Why This Chapter Matters'explain how the topics being covered will impact students on the job. Review questions, discussion questions, and summaries are also included. This second edition is updated to include new technology, along with a new running case study.Key features: Single-mindedly for business students who are not technical specialists Doesn't try to prepare IS professionals; other courses will do that Stresses the enabling technologies and application areas that matter the most today Based on the author's real-world experience Up to date regarding technology and tomorrow's business needs This is the book the author—and, more importantly, his students—wishes he had when he started teaching. Dr. Mallach holds degrees in engineering from Princeton and MIT, and in business from Boston University. He worked in the computer industry for two decades, as Director of Strategic Planning for a major computer firm and as co-founder/CEO of a computer marketing consulting firm. He taught information systems in the University of Massachusetts (Lowell and Dartmouth) business schools for 18 years, then at Rhode Island College following his retirement. He consults in industry and serves as Webmaster for his community, in between hiking and travel with his wife.

Basisboek Netwerkorganisaties Moderne bedrijfskunde is de laatste jaren als vak sterk veranderd. Belangrijke aanjager van deze verandering is de onderlinge verbondenheid van mensen, systemen en technologieën binnen en tussen organisaties. Blockchaintechnologie en platformen zorgen ervoor dat in moderne bedrijven informatie, grondstoffen en halffabricaten op een slimme manier de meest efficiënte en effectieve route afleggen binnen het netwerk. Hierbij is een belangrijke rol weggelegd voor algoritmen. Basisboek Netwerkorganisatiesgeeft een heldere en overzichtelijke kijk op deze ontwikkelingen. Het boek beschrijft vanuit bedrijfskundig en historisch perspectief hoe organisaties de laatste jaren zijn ontwikkeld tot (slimme) netwerken waarin de waardeketen niet langer lineair is, legt uit hoe organisaties als netwerken binnen netwerken functioneren, verklaart ontwikkelingen binnen het vak moderne bedrijfskunde en bevat alle relevante theorieën en modellen. Over de auteurs Rienk Stuive is allround bedrijfskundige en is (mede-)auteur van diverse bedrijfskundige titels voor het HBO zoals Bedrijfskunde Integraal, Procesmanagement en Wat is een Bedrijf? Hij heeft meer dan tien jaar gewerkt als docent in het hbo en is tegenwoordig werkzaam als commercieel piloot. Rene van der Heijden is communicatiekundige en redacteur bij de NOS en daarnaast schrijver en ghostwriter. Hij heeft diverse managementboeken op zijn naam staan.