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Lynn Matthay

Business Intelligence als Treiber der Geschäftsmodellentwicklung. Analyse und Anwendung am Beispiel des mittelständischen Unternehmens "Textiltrend"

Asset Analytics

This book explores the transformative potential of Business Analytics in the modern business landscape, offering a practical guide to leveraging data for strategic decision-making. With companies generating vast amounts of data, there is a growing need for professionals who can interpret and analyze this information to derive actionable insights. This book equips readers with essential tools and techniques to become proficient in business analytics, emphasizing the application of data to solve real-world business problems and drive profitability. Encompassing various facets of a business, including supply chain analytics, HR analytics, influencer networks, Impact of machine learning and AR/VR, sensitivity analysis, data story telling etc. and even empowering customers with the help of data driven approach, this book tries to add value in managerial decision making. &nbsp;Focusing on the latest trends and advancements, this book demonstrates how analytics can provide a competitive edge by converting large datasets into meaningful insights. Through real-world examples and case studies, it shows how businesses can enhance market share and deliver greater returns to shareholders. Designed for business professionals, analysts, and decision-makers, this book is an essential resource for anyone looking to improve their company’s performance or advance their career with cutting-edge analytical skills.

This book explores the transformative potential of business analytics in the modern business landscape, offering a practical guide to leveraging data for strategic decision-making. With companies generating vast amounts of data, there is a growing need for professionals who can interpret and analyze this information to derive actionable insights. This book equips readers with essential tools and techniques to become proficient in business analytics, emphasizing the application of data to solve real-world business problems and drive profitability. Encompassing various facets of a business, including supply chain analytics, HR analytics, influencer networks, Impact of machine learning and AR/VR, sensitivity analysis, data story telling etc. and even empowering customers with the help of data driven approach, this book tries to add value in managerial decision making. &nbsp;Focusing on the latest trends and advancements, this book demonstrates how analytics can provide a competitive edge by converting large datasets into meaningful insights. Through real-world examples and case studies, it shows how businesses can enhance market share and deliver greater returns to shareholders. Designed for business professionals, analysts, and decision-makers, this book is an essential resource for anyone looking to improve their company’s performance or advance their career with cutting-edge analytical skills.

Sharpening beyond Data

Business Analytics and Managerial Decision Making

Advancements in Intelligent and Sustainable Technologies and Systems

This handbook addresses how smart operations, management, and healthcare can be used to detect and analyze supply chain problems, business problems, and diseases. It also discusses the underlying methodologies and related security concerns.Handbook of Disruptive Technologies: Operations, Business, Management, and Healthcare provides updated and timely insights, unique approaches or frameworks, practical applications, and case studies. It provides in-depth knowledge of disruptive technologies and applies data analytics to different areas to solve complex situations. The handbook uses data analytics in decision-making and policy framing and identifies practices and applications of disruptive technologies that can assist organizations in gaining a competitive advantage. Valuable insights, innovative approaches, practical applications, and case studies can be found in this handbook as it effectively consolidates and synthesizes information to provide a comprehensive understanding of the subject matter.This book is tailored for researchers, academics, and professionals seeking to deepen their knowledge in the field.

Operations, Business, Management, and Healthcare

Handbook of Disruptive Technologies

Die Denkweise, die Unternehmen transformiert 
Wie gelingt es, ein erfolgreiches Unternehmen aufzubauen und sich gegen die Branchenriesen zu behaupten? Es hilft, wie ein Investor zu denken: Dieses Buch entschlüsselt die Denkweise von Risikokapitalgebern, die hinter bahnbrechenden Innovationen wie Zoom, Amazon oder Google stehen. 
Ilya Strebulaev und Alex Dang enthüllen deren erfolgsentscheidenden Fähigkeiten, die auch Unternehmer nutzen: Anhand von neun Prinzipien, die die Grundlage für den Erfolg von Start-ups und Innovationen weltweit bilden, zeigen sie, wie man ein innovationsfreundliches Umfeld schafft, außergewöhnliche Teams aufbaut, Chancen frühzeitig erkennt, Ideen fördert und kalkulierte Risiken eingeht. 
Dieses Buch ist eine praktische Anleitung, um selbst wie ein Risikoinvestor zu denken und jedes Unternehmen auf Wachstumskurs zu bringen. Ob Gründer, Manager oder Innovator - das Venture-Mindset ist der Schlüssel zu unternehmerischem Erfolg.'Dieses Buch steckt voller kraftvoller, praktischer Lektionen darüber, wie wir unser Denken und Handeln verändern können.' - Eric Schmidt, ehemaliger CEO von Google und Autor von Der Trillion Dollar Coach 'Viele der in diesem Buch erwähnten Prinzipien haben uns beim Aufbau von Zoom geholfen und werden auch Ihnen helfen.' - Eric Yuan, Gründer und CEO von Zoom 'Ilya ist einer der kenntnisreichsten Experten auf dem Gebiet des Risikokapitals. Dieses brillante Buch liefert wichtige Einblicke in die Denkweise und Entscheidungsfindung von Risikokapitalgebern und zeigt, wie jeder diese Erkenntnisse auf sein eigenes Fachgebiet anwenden und ebenso innovativ sein kann wie sie.' - Ali Tamaseb, Autor von Super Founders

Die Denkweise, die Unternehmen transformiert 
 Wie gelingt es, ein erfolgreiches Unternehmen aufzubauen und sich gegen die Branchenriesen zu behaupten? Es hilft, wie ein Investor zu denken: Dieses Buch entschlüsselt die Denkweise von Risikokapitalgebern, die hinter bahnbrechenden Innovationen wie Zoom, Amazon oder Google stehen.
 
 Ilya Strebulaev und Alex Dang enthüllen deren erfolgsentscheidenden Fähigkeiten, die auch Unternehmer nutzen: Anhand von neun Prinzipien, die die Grundlage für den Erfolg von Start-ups und Innovationen weltweit bilden, zeigen sie, wie man ein innovationsfreundliches Umfeld schafft, außergewöhnliche Teams aufbaut, Chancen frühzeitig erkennt, Ideen fördert und kalkulierte Risiken eingeht.
 
 Dieses Buch ist eine praktische Anleitung, um selbst wie ein Risikoinvestor zu denken und jedes Unternehmen auf Wachstumskurs zu bringen. Ob Gründer, Manager oder Innovator – das Venture-Mindset ist der Schlüssel zu unternehmerischem Erfolg.
 »Dieses Buch steckt voller kraftvoller, praktischer Lektionen darüber, wie wir unser Denken und Handeln verändern können.«
 – Eric Schmidt, ehemaliger CEO von Google und Autor von 
 Der Trillion Dollar Coach »Viele der in diesem Buch erwähnten Prinzipien haben uns beim Aufbau von Zoom geholfen und werden auch Ihnen helfen.«
 – Eric Yuan, Gründer und CEO von Zoom
 »Ilya ist einer der kenntnisreichsten Experten auf dem Gebiet des Risikokapitals. Dieses brillante Buch liefert wichtige Einblicke in die Denkweise und Entscheidungsfindung von Risikokapitalgebern und zeigt, wie jeder diese Erkenntnisse auf sein eigenes Fachgebiet anwenden und ebenso innovativ sein kann wie sie.«
 – Ali Tamaseb, Autor von 
 Super Founders

Was Unternehmer von Risikokapitalgebern lernen können

Das Venture-Mindset

Apress Pocket Guides

Secure Boot Encryption with Linux serves as a quick guide to building and maintaining a secure, embedded Linux system by establishing a verifiable Chain-of-Trust from the moment power is applied until the first user space application takes control. It meticulously breaks down what the Secure Boot implementation is, and critically, what it is not by providing the technical knowledge necessary to guard against sophisticated bootkits and unauthorized code execution.

We begin by dissecting the Linux Cryptographic Subsystem and the core mechanism for secret protection: the Linux Key-Management Facility (Keyring). It provides an in-depth, practical guide to implementing Trusted Keys and Encrypted Keys, detailing how these secrets are secured by tying them to specialized hardware like the Trusted Platform Module (TPM). This unique focus ensures that critical encryption and signing keys are never exposed to user spaces, neutralizing the impact of successful root-level exploits. Next, we explore the implementation of a full Secure Boot Chain-of-Trust. Readers will learn how the Chain-of-Trust works from the initial pre-bootloader (e.g., U-Boot SPL or the Arm Trusted Firmware), through the main bootloader, up to the kernel and the root filesystem. This process guarantees that only code signed by a trusted authority is executed, providing unparalleled protection against firmware injection and persistent bootkits. We finish by looking at a blue print for Secure System Lifecycle Management, integrating the kernel's key-management with Transparent Encryption (dm-crypt) for the root filesystem and detailing the procedures for maintaining security over time. 

By focusing on root-proof key management and end-to-end integrity enforcement, this pocket guide is essential reading for developers and security architects who need to build resilient Linux products that meet the highest standards of modern cybersecurity.

You Will Learn:

How to implement and manage cryptographic secrets using the Linux Key-Management Facility (Keyring)

Understand how to use the Linux Crypto API for secure hashing, signing, and encryption operations

How to establish an unbreakable Chain-of-Trust that verifies the integrity and authenticity of every system component, from the initial hardware Root-of-Trust and the pre-bootloader to the final Linux kernel load.

How to achieve Transparent Full Disk Encryption by integrating the secure Keyring with key technologies for data confidentiality for OS and Kernel levels




This Book is for:

Experienced embedded Linux developers and security architects

Secure Boot Encryption with Linux
 serves as a quick guide to building and maintaining a secure, embedded Linux system by establishing a verifiable Chain-of-Trust from the moment power is applied until the first user space application takes control. It meticulously breaks down what the Secure Boot implementation is, and critically, what it is not by providing the technical knowledge necessary to guard against sophisticated bootkits and unauthorized code execution.
 We begin by dissecting the Linux Cryptographic Subsystem and the core mechanism for secret protection: the Linux Key-Management Facility (Keyring). It provides an in-depth, practical guide to implementing Trusted Keys and Encrypted Keys, detailing how these secrets are secured by tying them to specialized hardware like the Trusted Platform Module (TPM). This unique focus ensures that critical encryption and signing keys are never exposed to user spaces, neutralizing the impact of successful root-level exploits. Next, we explore the implementation of a full Secure Boot Chain-of-Trust. Readers will learn how the Chain-of-Trust works from the initial pre-bootloader (e.g., U-Boot SPL or the Arm Trusted Firmware), through the main bootloader, up to the kernel and the root filesystem. This process guarantees that only code signed by a trusted authority is executed, providing unparalleled protection against firmware injection and persistent bootkits. we finish by looking at a blue print for Secure System Lifecycle Management, integrating the kernel's key-management with Transparent Encryption (dm-crypt) for the root filesystem and detailing the procedures for maintaining security over time.&nbsp;By focusing on root-proof key management and end-to-end integrity enforcement, this pocket guide is essential reading for developers and security archtects who need to build resilient Linux products that meet the highest standards of modern cybersecurity.You Will Learn:<ul><li>How to implement and manage cryptographic secrets using the Linux Key-Management Facility (Keyring)</li><li>Understand how to use the Linux Crypto API for secure hashing, signing, and encryption operations</li><li>How to establish an unbreakable Chain-of-Trust that verifies the integrity and authenticity of every system component, from the initial hardware Root-of-Trust and the pre-bootloader to the final Linux kernel load.</li><li>How to achieve Transparent Full Disk Encryption by integrating the secure Keyring with key technologies for data confidentiality for OS and Kernel levels</li></ul>This Book is for:Experienced embedded Linux developers and security architects

Implementation for Embedded Developers

Secure Boot Encryption with Linux

Mastering Business Analytics

Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations.Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills.This book is designed for undergraduate and master's students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation.The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.

Fundamentals of Business Technology and AI Integration

Data Analytics for Strategic Decisions

Systems Innovation Book Series

Handbook of Digital Innovation, Transformation, and Sustainable Development in a Post-Pandemic Era

Transform raw data into business insights Businesses run on data and Microsoft® Power BI is the engine for turning data into insight and decisions. This beginner-friendly guide helps you get started with the Power BI basics. It's also great for power users, covering advanced topics like integrating AI and programming your own functions. This updated edition shows you how to get even more power out of the tool, with enhanced collaboration, customization, and version control. Harness the power of Power BI, the easy way. Inside... <ul> <li>Turn data into business growth</li> <li>Set up Power BI in any business</li> <li>Discover trends in your data</li> <li>Collaborate in real-time</li> <li>Build interactive dashboards</li> <li>Create branded visualizations</li> <li>Use AI for enhanced efficiency</li> <li>Program your own functions</li> </ul>

Microsoft Power BI For Dummies

In an era where organizations increasingly rely on data and intelligent technologies to guide strategic decisions, workforce management is undergoing a profound transformation. 
 Data-Driven Sustainable Workforce Analytics: The Triple Intelligence Framework
 presents a comprehensive exploration of how artificial intelligence, advanced analytics, and human-centered management practices are reshaping the future of work. 
 The book introduces the concept of Triple Intelligence, highlighting the strategic integration of human intelligence, artificial intelligence, and collective intelligence to support sustainable organizational transformation and responsible workforce governance. Structured into five thematic parts, the book examines intelligent HR ecosystems, predictive recruitment strategies, machine learning in people analytics, employee engagement, and sectoral applications such as healthcare and smart manufacturing. It also addresses critical ethical and governance issues, including ESG-driven workforce strategies, diversity and inclusion analytics, responsible artificial intelligence, and emerging debates on digital workplace monitoring.Featuring contributions from scholars across 19 countries spanning five continents, this volume provides diverse global perspectives and offers valuable insights for researchers, practitioners, and policymakers seeking to build data-driven, ethical, and sustainable workforce systems in the age of intelligent organizations.&nbsp;

The Triple Intelligence Framework

Data-Driven Sustainable Workforce Analytics

KI ist nicht das Projekt. KI ist der Stresstest Ihrer Führung.
Während viele Unternehmen Pilot um Pilot starten, entstehen parallel neue Risiken: unklare Verantwortung, Schatten-Governance, Kostenexplosion, Compliance-Lücken - und eine Organisation, die schneller wird, aber nicht stabiler.
Die Wirbelsäule der Zukunft liefert den fehlenden Bauplan: Wie Sie KI als Transformationsmotor nutzen, ohne Ihre Organisation zu überdehnen.
Sie erhalten ein praxiserprobtes Leadership- und Governance-System, das Vision, Kultur, Portfolio und Betrieb zusammenführt - damit aus KI-Inseln ein skalierbares Programm wird.

- Board-taugliche Entscheidungsrahmen inkl. Rollen, Eskalationswegen und Steering-Committee-Setup
- One-Page Governance-Canvas + 8 präzise Board-Fragen für Strategy Sessions
- Programm- und Portfolio-Logik: Priorisierung, Ressourcensteuerung, Pilot-Gates, Lernzyklen
- Use-Case-Blueprints, u. a. Customer Data Product, Decision Support und GenAI-Produktinnovation
- KPI-Dashboard-Template: von Pilot zu Skalierung zu Produkt
- Pilot-Readiness-Checklist für Privacy, Security und IP
- FinOps für KI: Kostenmodelle, Reporting und Skalierung ohne Budget-Schock
- Must-Klauseln für NDA, AVV, IP-Ownership und Exit-Regeln
- Reskilling als Business Case: Wertschöpfung erhöhen statt Wissen verlieren
- Kultur- und Change-Hebel: psychologische Sicherheit, Feedback, Lernreife und Führungsrituale
Die Zukunft gehört nicht den Lautesten und nicht den Schnellsten. Sie gehört den Unternehmen, die mit einer starken Wirbelsäule Klarheit in Entscheidungen, Disziplin in der Umsetzung und Stärke in der Führung verbinden.
Genau das zeigt dieses Buch: wie Unternehmen ihre Wirbelsäule stärken, Komplexität beherrschen und Wandel in echte Wirkung verwandeln.

Leadership, KI und die industrielle Revolution der Organisationen

Die Wirbelsäule der Zukunft

Digital Sustainability: Navigating Entrepreneurship in the Information Age explores the intersection of technology and sustainability, offering a panoramic view of innovative strategies and solutions for building a more environmentally conscious and socially responsible future. From exploring the transformative potential of blockchain technology in sustainable supply chains to harnessing the power of Artificial Intelligence (AI) and machine learning for environmental monitoring and conservation, each chapter presents cutting-edge insights and practical applications. The book highlights the ethical implications of entrepreneurship and data privacy, focusing on the potential of AI and machine learning for sustainable resource utilization and decision-making processes. Delving into areas such as renewable energy integration, data privacy, cybersecurity, IoT entrepreneurship, smart cities, and beyond, this book equips entrepreneurs, policymakers, and researchers with the knowledge and tools needed to drive meaningful change in the digital era. With a rich tapestry of case studies, future perspectives, and actionable insights, this book offers a roadmap for entrepreneurs, engineers, business professionals, and those interested in technology and sustainability, focusing on redefining business models, fostering innovation, and creating a more connected, sustainable world.

Navigating Entrepreneurship in the Information Age

Digital Sustainability

A NEW SCIENTIST BEST NEW SCIENCE BOOK MAY 2026 'This view from the other side of the search box is both charming and insightful, tapping into a deep well of curiosity.' Tim Harford, author of How to Make the World Add Up Ever wondered what goes through other people's minds - our silly questions, inner anxieties, hopes and dreams? In this hopeful and insightful book, Google Data Editor Simon Rogers explores insights from the world's biggest dataset: an epic snapshot, two decades long and counting, of our collective brain. What it reveals about us might surprise you.<ul><li>In June the UK sees a spike in searches for 'how to help a bee'</li><li>London is the top place on earth searching for 'tell the time drunk'</li><li>Around the world, it's 2am when parents want to know how to get their baby to sleep</li><li>Searches for 'how to help' are at an all-time high</li></ul> Brimming with insights that vary from the playful to the profound, What We Ask Google delves into the momentous and the mundane secrets of what we ask when we get the chance to ask anything, offering a surprisingly hopeful picture of humankind. 'In a time when the news is so relentlessly gloomy, this book provides a ray of hope.' Daily Mail 'Deserves a place on any bathroom bookshelf' Guardian

A surprisingly hopeful picture of humankind

What We Ask Google

This book is a comprehensive guide designed to equip you with the practical skills and knowledge necessary to tackle real-world data challenges using Open Source solutions. Focusing on 10 real-world data engineering projects, it caters specifically to data engineers at the early stages of their careers, providing a strong foundation in essential open source tools and techniques such as Apache Spark, Flink, Airflow, Kafka, and many more.
Each chapter is dedicated to a single project, starting with a clear presentation of the problem it addresses. You will then be guided through a step-by-step process to solve the problem, leveraging widely-used open-source data tools. This hands-on approach ensures that you not only understand the theoretical aspects of data engineering but also gain valuable experience in applying these concepts to real-world scenarios.
At the end of each chapter, the book delves into common challenges that may arise during the implementation of the solution, offering practical advice on troubleshooting these issues effectively. Additionally, the book highlights best practices that data engineers should follow to ensure the robustness and efficiency of their solutions. A major focus of the book is using open-source projects and tools to solve problems encountered in data engineering. 
In summary, this book is an indispensable resource for data engineers looking to build a strong foundation in the field. By offering practical, real-world projects and emphasizing problem-solving and best practices, it will prepare you to tackle the complex data challenges encountered throughout your career. Whether you are an aspiring data engineer or looking to enhance your existing skills, this book provides the knowledge and tools you need to succeed in the ever-evolving world of data engineering.


You Will Learn:

The foundational concepts of data engineering and practical experience in solving real-world data engineering problems

How to proficiently use open-source data tools like Apache Kafka, Flink, Spark, Airflow, and Trino

10 hands-on data engineering projects

Troubleshoot common challenges in data engineering projects





Who is this book for: Early-career data engineers and aspiring data engineers who are looking to build a strong foundation in the field; mid-career professionals looking to transition into data engineering roles; and technology enthusiasts interested in gaining insights into data engineering practices and tools.

This book is a comprehensive guide designed to equip you with the practical skills and knowledge necessary to tackle real-world data challenges using Open Source solutions. Focusing on 10 real-world data engineering projects, it caters specifically to data engineers at the early stages of their careers, providing a strong foundation in essential open source tools and techniques such as Apache Spark, Flink, Airflow, Kafka, and many more.
 
 Each chapter is dedicated to a single project, starting with a clear presentation of the problem it addresses. You will then be guided through a step-by-step process to solve the problem, leveraging widely-used open-source data tools. This hands-on approach ensures that you not only understand the theoretical aspects of data engineering but also gain valuable experience in applying these concepts to real-world scenarios.
 
 At the end of each chapter, the book delves into common challenges that may arise during the implementation of the solution, offering practical advice on troubleshooting these issues effectively. Additionally, the book highlights best practices that data engineers should follow to ensure the robustness and efficiency of their solutions.&nbsp;A major focus of the book is using open-source projects and tools to solve problems encountered in data engineering.&nbsp;
 
 In summary, this book is an indispensable resource for data engineers looking to build a strong foundation in the field. By offering practical, real-world projects and emphasizing problem-solving and best practices, it will prepare you to tackle the complex data challenges encountered throughout your career. Whether you are an aspiring data engineer or looking to enhance your existing skills, this book provides the knowledge and tools you need to succeed in the ever-evolving world of data engineering.
 You Will Learn:<ul><li>The foundational concepts of data engineering and practical experience in solving real-world data engineering problems</li><li>How to proficiently use open-source data tools like Apache Kafka, Flink, Spark, Airflow, and Trino</li><li>10 hands-on data engineering projects</li><li>Troubleshoot common challenges in data engineering projects</li></ul> Who is this book for
 : Early-career data engineers and aspiring data engineers who are looking to build a strong foundation in the field; mid-career professionals looking to transition into data engineering roles; and technology enthusiasts interested in gaining insights into data engineering practices and tools.

Solving Everyday Data Challenges with Spark, Iceberg, Kafka, Flink, and More

Practical Data Engineering with Apache Projects

Business Intelligence als Treiber der Geschäftsmodellentwicklung. Analyse und Anwendung am Beispiel des mittelständischen Unternehmens "Textiltrend"

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