Network management Books

Book SynopsisUse data analytics to drive innovation and value throughout your network infrastructure Network and IT professionals capture immense amounts of data from their networks. Buried in this data are multiple opportunities to solve and avoid problems, strengthen security, and improve network performance. To achieve these goals, IT networking experts need a solid understanding of data science, and data scientists need a firm grasp of modern networking concepts. Data Analytics for IT Networks fills these knowledge gaps, allowing both groups to drive unprecedented value from telemetry, event analytics, network infrastructure metadata, and other network data sources. Drawing on his pioneering experience applying data science to large-scale Cisco networks, John Garrett introduces the specific data science methodologies and algorithms network and IT professionals need, and helps data scientists understand contemporary network technologies, applications, and data sources. After establishing this shared understanding, Garrett shows how to uncover innovative use cases that integrate data science algorithms with network data. He concludes with several hands-on, Python-based case studies reflecting Cisco Customer Experience (CX) engineers’ supporting its largest customers. These are designed to serve as templates for developing custom solutions ranging from advanced troubleshooting to service assurance. Understand the data analytics landscape and its opportunities in Networking See how elements of an analytics solution come together in the practical use cases Explore and access network data sources, and choose the right data for your problem Innovate more successfully by understanding mental models and cognitive biases Walk through common analytics use cases from many industries, and adapt them to your environment Uncover new data science use cases for optimizing large networks Master proven algorithms, models, and methodologies for solving network problems Adapt use cases built with traditional statistical methods Use data science to improve network infrastructure analysisAnalyze control and data planes with greater sophistication Fully leverage your existing Cisco tools to collect, analyze, and visualize data Table of Contents Foreword xvii Introduction: Your future is in your hands! xviiiChapter 1 Getting Started with Analytics 1 What This Chapter Covers 1 Data: You as the SME 2 Use-Case Development with Bias and Mental Models 2 Data Science: Algorithms and Their Purposes 3 What This Book Does Not Cover 4 Building a Big Data Architecture 4 Microservices Architectures and Open Source Software 5 R Versus Python Versus SAS Versus Stata 6 Databases and Data Storage 6 Cisco Products in Detail 6 Analytics and Literary Perspectives 7 Analytics Maturity 7 Knowledge Management 8 Gartner Analytics 8 Strategic Thinking 9 Striving for “Up and to the Right” 9 Moving Your Perspective 10 Hot Topics in the Literature 11 Summary 12Chapter 2 Approaches for Analytics and Data Science 13 Model Building and Model Deployment 14 Analytics Methodology and Approach 15 Common Approach Walkthrough 16 Distinction Between the Use Case and the Solution 18 Logical Models for Data Science and Data 19 Analytics as an Overlay 20 Analytics Infrastructure Model 22 Summary 33Chapter 3 Understanding Networking Data Sources 35 Planes of Operation on IT Networks 36 Review of the Planes 40 Data and the Planes of Operation 42 Planes Data Examples 44 A Wider Rabbit Hole 49 A Deeper Rabbit Hole 51 Summary 53Chapter 4 Accessing Data from Network Components 55 Methods of Networking Data Access 55 Pull Data Availability 57 Push Data Availability 61 Control Plane Data 67 Data Plane Traffic Capture 68 Packet Data 70 Other Data Access Methods 74 Data Types and Measurement Considerations 76 Numbers and Text 77 Data Structure 82 Data Manipulation 84 Other Data Considerations 87 External Data for Context 89 Data Transport Methods 89 Transport Considerations for Network Data Sources 90 Summary 96Chapter 5 Mental Models and Cognitive Bias 97 Changing How You Think 98 Domain Expertise, Mental Models, and Intuition 99 Mental Models 99 Daniel Kahneman’s System 1 and System 2 102 Intuition 103 Opening Your Mind to Cognitive Bias 104 Changing Perspective, Using Bias for Good 105 Your Bias and Your Solutions 106 How You Think: Anchoring, Focalism, Narrative Fallacy, Framing, and Priming 107 How Others Think: Mirroring 110 What Just Happened? Availability, Recency, Correlation, Clustering, and Illusion of Truth 111 Enter the Boss: HIPPO and Authority Bias 113 What You Know: Confirmation, Expectation, Ambiguity, Context, and Frequency Illusion 114 What You Don’t Know: Base Rates, Small Numbers, Group Attribution, and Survivorship 117 Your Skills and Expertise: Curse of Knowledge, Group Bias, and Dunning-Kruger 119 We Don’t Need a New System: IKEA, Not Invented Here, Pro-Innovation, Endowment, Status Quo, Sunk Cost, Zero Price, and Empathy 121 I Knew It Would Happen: Hindsight, Halo Effect, and Outcome Bias 123 Summary 124Chapter 6 Innovative Thinking Techniques 127 Acting Like an Innovator and Mindfulness 128 Innovation Tips and Techniques 129 Developing Analytics for Your Company 140 Defocusing, Breaking Anchors, and Unpriming 140 Lean Thinking 142 Cognitive Trickery 143 Quick Innovation Wins 143 Summary 144Chapter 7 Analytics Use Cases and the Intuition Behind Them 147 Analytics Definitions 150 How to Use the Information from This Chapter 151 Priming and Framing Effects 151 Analytics Rube Goldberg Machines 151 Popular Analytics Use Cases 152 Machine Learning and Statistics Use Cases 153 Common IT Analytics Use Cases 170 Broadly Applicable Use Cases 199 Some Final Notes on Use Cases 214 Summary 214Chapter 8 Analytics Algorithms and the Intuition Behind Them 217 About the Algorithms 217 Algorithms and Assumptions 218 Additional Background 219 Data and Statistics 221 Statistics 221 Correlation 224 Longitudinal Data 225 ANOVA 227 Probability 228 Bayes’ Theorem 228 Feature Selection 230 Data-Encoding Methods 232 Dimensionality Reduction 233 Unsupervised Learning 234 Clustering 234 Association Rules 240 Sequential Pattern Mining 243 Collaborative Filtering 244 Supervised Learning 246 Regression Analysis 246 Classification Algorithms 248 Decision Trees 249 Random Forest 250 Gradient Boosting Methods 251 Neural Networks 252 Support Vector Machines 258 Time Series Analysis 259 Text and Document Analysis 262 Natural Language Processing (NLP) 262 Information Retrieval 263 Topic Modeling 265 Sentiment Analysis 266 Other Analytics Concepts 267 Artificial Intelligence 267 Confusion Matrix and Contingency Tables 267 Cumulative Gains and Lift 269 Simulation 271 Summary 271Chapter 9 Building Analytics Use Cases 273 Designing Your Analytics Solutions 274 Using the Analytics Infrastructure Model 275 About the Upcoming Use Cases 276 The Data 276 The Data Science 278 The Code 280 Operationalizing Solutions as Use Cases 281 Understanding and Designing Workflows 282 Tips for Setting Up an Environment to Do Your Own Analysis 282 Summary 284Chapter 10 Developing Real Use Cases: The Power of Statistics 285 Loading and Exploring Data 286 Base Rate Statistics for Platform Crashes 288 Base Rate Statistics for Software Crashes 299 ANOVA 305 Data Transformation 310 Tests for Normality 311 Examining Variance 313 Statistical Anomaly Detection 318 Summary 321Chapter 11 Developing Real Use Cases: Network Infrastructure Analytics 323 Human DNA and Fingerprinting 324 Building Search Capability 325 Loading Data and Setting Up the Environment 325 Encoding Data for Algorithmic Use 328 Search Challenges and Solutions 331 Other Uses of Encoded Data 336 Dimensionality Reduction 337 Data Visualization 340 K-Means Clustering 344 Machine Learning Guided Troubleshooting 350 Summary 353Chapter 12 Developing Real Use Cases: Control Plane Analytics Using Syslog Telemetry 355 Data for This Chapter 356 OSPF Routing Protocols 357 Non-Machine Learning Log Analysis Using pandas 357 Noise Reduction 360 Finding the Hotspots 362 Machine Learning—Based Log Evaluation 366 Data Visualization 367 Cleaning and Encoding Data 369 Clustering 373 More Data Visualization 375 Transaction Analysis 379 Task List 386 Summary 387Chapter 13 Developing Real Use Cases: Data Plane Analytics 389 The Data 390 SME Analysis 394 SME Port Clustering 407 Machine Learning: Creating Full Port Profiles 413 Machine Learning: Creating Source Port Profiles 419 Asset Discovery 422 Investigation Task List 423 Summary 424Chapter 14 Cisco Analytics 425 Architecture and Advisory Services for Analytics 426 Stealthwatch 427 Digital Network Architecture (DNA) 428 AppDynamics 428 Tetration 430 Crosswork Automation 431 IoT Analytics 432 Analytics Platforms and Partnerships 433 Cisco Open Source Platform 433 Summary 434Chapter 15 Book Summary 435 Analytics Introduction and Methodology 436 All About Networking Data 438 Using Bias and Innovation to Discover Solutions 439 Analytics Use Cases and Algorithms 439 Building Real Analytics Use Cases 440 Cisco Services and Solutions 442 In Closing 442Appendix A Function for Parsing Packets from pcap Files 4439781587145131, TOC, 9/19/18

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Book SynopsisIn today’s technology-driven environment there is an ever-increasing demand for information delivery. A compromise has to be struck between security and availability. This book is a pragmatic guide to information assurance for both business professionals and technical experts. Written in an accessible manner, Information Security Management Principles provides practical guidance and actionable steps to better prepare your workplace and your home alike, and keep your information secure. This book is a primer for those new to the subject as well as a guide for more experienced practitioners. It explains the fundamentals of information security, how to shape good organisational security practice, and how to recover effectively should the worst happen. This third edition has been updated to reflect the latest threats and vulnerabilities in the IT security landscape, and updates to standards, good practice guides and legislation. It also includes updates to the BCS Certification in Information Security Management Principles, which this book supports. A valuable guide to both current professionals at all levels and those wishing to embark on an information security career Offers practical guidance and actionable steps for individuals and businesses to protect themselves Highly accessible and terminology is clearly explained and supported with current, real-world examples Trade Review'This book is fantastic for those studying information security management and as a desk-side reference. It is comprehensive yet concise. I would recommend this book to anybody studying for the qualification as well as anyone in senior management positions looking to understand the basics. The language used is refreshingly understandable, making the book accessible to those outside the specialism.' -- Helen Mary Jones * Group Information Security Manager, The Jockey Club *Table of Contents Information Security Principles Information Risk Information Security Framework Security Lifecycles Procedural and People Security Controls Technical Security Controls Physical and Environmental Security Disaster Recovery and Business Continuity Management Other Technical Aspects

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Book SynopsisOrganisations are using data, information and knowledge as a competitive weapon. Their data, information and knowledge are arguably their most valuable assets. Yet, this fourth asset is managed badly when compared to the other three assets, namely money, people and infrastructure with considerable risk to the organisation. Executives are accountable for the success of their organisations, and those who don't manage this critical resource and business enabler effectively can be regarded as negligent. Information Assets carry enormous risk and value. Most boards and executives don't know how to govern and manage IAs effectively and nobody is held accountable. Given this, organisations should govern and manage their Information Assets the way they manage their Financial Assets. The benefits of managing IAs well are compelling. These benefits include increased efficiency, productivity, employee satisfaction, improved decision-making, mitigating business risk and improving product, proteTrade ReviewPrice and Evans have produced a ground-breaking, mind-altering book on how organizations and executives need to be thinking about and approaching information in their organizations, but why they regularly fail to do so. This perhaps is the most comprehensively researched and one of the most important books ever published on the topic of managing data as an actual enterprise asset and overcoming the persistent business pathology preventing it. - Douglas B. Laney, Innovation Fellow, West Monroe Partners, and author of Infonomics and Data Juice”If you think money, people, and infrastructure, are your only assets to manage, think again. It is impossible to manage any other asset well without managing the data, information, and knowledge which underly them and are assets in their own right. Price and Evans offer compelling arguments based on experience, the latest research, and industry leaders. Learn from them and put this book to work! - Danette McGilvray, President and Principal, Granite Falls Consulting, Inc. Author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, 2nd Ed. (Elsevier/Academic Press, 2021)At a time when everyone seems to have become an instant data expert and AI genius, it’s refreshing to read a rigorously researched and pragmatically laid out examination of this fundamentally important topic. In my view, it’s a prime example of the Australian MBA culture (minimum bullshit allowed) in action, and needs to be on everyone’s reading list. - Daragh O Brien, CEO, Castlebridge and Lecturer in Data Protection and Data Governance, UCD Sutherland School of Law.Recognizing data, information, and knowledge as assets and treating them as such may be the single most effective way a company can improve its strategic position. And doing so is an absolute necessity for those pursuing AI.- Thomas C. Redman, Ph. D., the Data Doc, Data Quality Solutions, Rumson, NJ USATable of ContentsIntroduction Chapter 1: Background/context Chapter 2: Benefits of Managing IAs Effectively Chapter 3: Executive Awareness Chapter 4: Business Environment Chapter 5: Leadership and Management Chapter 6: Asset Governance Chapter 7: Information Systems Chapter 8: Information Assets Behaviours Chapter 9: Information Asset Attributes and Quality Chapter 10: Information Asset Performance/Exploitation Chapter 11: Justification Chapter 12: Conclusion and Call to Action

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Book SynopsisWith the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data. These huge volumes of data can be used for effective decision making and improved performance if analyzed properly. Due to its inherent characteristics, big data is very complex and cannot be handled and processed by traditional database management approaches. There is a need for sophisticated approaches, tools and technologies that can be used to store, manage and analyze these enormous amounts of data to make the best use of them.Big Data Concepts, Technologies, and Applications covers the concepts, technologies, and applications of big data analytics. Presenting the state-of-the-art technologies in use for big data analytics. it provides an in-depth discussiTable of ContentsSection A. Understanding Big Data Chapter 1. Overview of Big Data Chapter 2. Challenges of Big Data Chapter 3. Big Data Analytics Section B. Big Data Technologies Chapter 4. Hadoop Ecosystem Chapter 5. NoSQL Databases Chapter 6. Data Lakes Chapter 7. Deep Learning Chapter 8. Blockchain Section C. Big Data Applications Chapter 9. Big Data for Healthcare Chapter 10. Big Data Analytics for Fraud Detection and Prevention Chapter 11. Big Data Analytics in Social Media Chapter 12. Novel Applications and Research Directions in Big Data Analytics

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Book SynopsisStructured into four distinct parts, this book is an indispensable resource for navigating the evolution of education and professional training in the age of artificial intelligence and virtual reality. The first part begins with an introduction to the current context, a period marked by crisis and a digital industrial revolution, emphasizing how the advent of cutting-edge technologies such as artificial intelligence is fundamentally altering work and social dynamics. It then examines AI, exploring its distinctive features compared to human intelligence and introducing the concept of spatial computing. It illustrates how these technological advancements are expanding the possibilities for human-machine interaction. In the second part, the focus shifts to artificial intelligence, the importance of data in training intelligent systems, and the emerging concept of the augmented worker. This section explores how AI can enhance human capabilities, facilitate more efficient

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Book SynopsisTable of Contents1. Introduction 2. Detection theory, information theory, and channel coding fundamentals 3. Quantum information processing fundamentals 4. Quantum information theory 5. Quantum detection and gaussian quantum information theories 6. Quantum key distribution (QKD) 7. Quantum error correction fundamentals 8. Quantum stabilizer codes and beyond 9. Quantum LDPC codes 10. Quantum networks 11. Quantum sensing 12. QIP and machine learning (ML) 13. Fault-tolerant QEC

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Book SynopsisThis updated and reorganized Fifth edition of Software Testing: A Craftsman''s Approach continues to be a valuable reference for software testers, developers, and engineers, by applying the strong mathematics content of previous editions to a coherent treatment of software testing. Responding to instructor and student survey input, the authors have streamlined chapters and examples. The Fifth Edition: Has a new chapter on feature interaction testing that explores the feature interaction problem and explains how to reduce tests Uses Java instead of pseudo-code for all examples including structured and object-oriented ones Presents model-based development and provides an explanation of how to conduct testing within model-based development environments Explains testing in waterfall, iterative, and agile software development projects Explores test-driven development,Table of ContentsPart I. A Mathematical Context. Chapter 1. A Perspective on Testing. Chapter 2. Examples. Chapter 3. Discrete Math for Testers. Chapter 4. Graph Theory for Testers. Part II. Unit Testing. Chapter 5. Boundary Value Testing. Chapter 6. Equivalence Class Testing. Chapter 7. Decision Table-Based Testing. Chapter 8. Code-Based Testing. Chapter 9 Testing Object-Oriented Software. Chapter 10. Retrospective on Unit Testing. Part III. Beyond Unit Testing. Chapter 11. Life Cycle-Based Testing. Chapter 12. Integration Testing. Chapter 13. System Testing. Chapter 14. Model-Based Testing. Chapter 15. Software Complexity. Chapter 16. Testing Systems of Systems. Chapter 17. Feature Interaction Testing. Chapter 18. Case Study: Testing Event-Driven Systems. Chapter 19. A Closer Look at All Pairs Testing. Chapter 20. Software Technical Reviews. Chapter 21. Epilogue: Software Testing Excellence.

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Book SynopsisAs cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybTable of ContentsSection 1 Big Data and Computational Intelligence for Cybersecurity Management and Applications Chapter 1 Applications of Big Data and Blockchain for Cybersecurity Management Challenges and Solutions - Swathi Lakkineni, Lo’ai Tawalbeh, and Izzat Alsmadi Chapter 2 Deep Learning Techniques for Cybersecurity Applications - Balakrishnan S, Aswin G, Mohan Babu Chowdary, V. Arulkumar Chapter 3 Deep Learning Techniques for Malware Classification - Mustapha Belaissaoui, Yassine Maleh, Soufyane Mounir Section 2 Computational Intelligence for Cybersecurity Applications Chapter 4 Machine Learning and Blockchain for Security Management in Banking System - Oshin Sharma, Nidhi Pandey Chapter 5 Machine Learning Techniques for Fault Tolerance Management - Harinahalli Lokesh Gururaj, Francesco Flammini, Beekanahalli Harish Swathi, Nandini Nagaraj, and Sunil Kumar Byalaru Ramesh Chapter 6 An efficient approach of Image Detection and Recognition using Artificial Intelligence in Cyber-Physical System - Musarrat Saberin Nipun, Rejwan Bin Sulaiman and Amer Kareem Section 3 Blockchain and Computational Intelligence for Cybersecurity Applications Chapter 7 Artificial Intelligence Incorporated in Business Analytics and Blockchain to Enhance Security - Mamata Rath, Subhranshu Sekhar Tripathy,Niva Tripathy, Chhabi Rani Panigrahi, Bibudhendu Pati Chapter 8 Blockchain solutions for Security and Privacy issues in Smart Healthcare - Pinky Bai, Sushil Kumar, Upasana Dohare Chapter 9 Algorithm for Trust in Ewom for Digital Systems - B.H. Khoi, B.V.Quang, N.V.T.Truong Chapter 10 Study of IoT Security for blockchain management: An application to data backup - Cédric Tala Kuate, Franklin Tchakounte, Jean Claude Kamgang Chapter 11 Blockchain Application for Cybersecurity in Cyber-physical Systems - Soufyane Mounir and Yassine Maleh Compilation of References About the Authors Index

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Book SynopsisWith this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package.The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses. Describes the benefits of distrTable of ContentsIntroduction. The Mother of Invention’s Triplets: Moore’s Law, the Proliferation of Data, and Data Storage Technology. Hadoop. HBase and Other Big Data Databases. Machine Learning. Statistics. Google. Geographic Information Systems. Discovery. Data Quality. Benefits. Concerns.

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Book SynopsisAll corporate entities, from the largest multinational conglomerate to the smallest tennis club, need effective governance. Some features of corporate governance are basic, common to all corporate entities: every governing body needs to think strategically and set policies to supervise ongoing management activities to ensure the entity is financially viable and is achieving its objectives.Every corporate entity has a governing body, whether it is called a board of directors, a committee, a council, or anything else. Many people, when appointed to the governing body of an organisation, have little idea of what to expect and what is expected of them. Even those with board-level experience find that the culture and leadership style of other governing bodies differ. The aim of this book is to help them understand and improve their contribution to the organisation and governing body they serve. The book is a simple guide to the work of every board member.Each chapter concluTable of ContentsAcknowledgements. Prologue. Chapter 1 All Corporate Entities Need Corporate Governance. Chapter 2 Board Structure and Board Members. Chapter 3 The Role of the Board. Chapter 4 The Corporate Entity and Society. Chapter 5 Board Culture and the Challenge of the Chair. Chapter 6 The Effective Board. Chapter 7 The Effective Director. Chapter 8 Governance Issues in Different Types of Corporate Entities. Epilogue. Index.

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Book SynopsisThe growing complexity of projects today, as well as the uncertainty inherent in innovative projects, is making obsolete traditional project management practices and procedures, which are based on the notion that much about a project is known at its start. The current high level of change and complexity confronting organizational leaders and managers requires a new approach to projects so they can be managed flexibly to embrace and exploit change. What once used to be considered extreme uncertainty is now the norm, and managing planned projects is being replaced by managing projects as they evolve. Successfully managing projects in extreme situations, such as polar and military expeditions, shows how to manage successfully projects in today's turbulent environment. Executed under the harshest and most unpredictable conditions, these projects are great sources for learning about how to manage unexpected and unforeseen situations as they occur. This book presents multTable of ContentsForeword. Introduction: Blowing Hot and Cold on Project Management. A Polar Expedition Project and Project Management. Ambidexterity as a Project Leader Competency: A Comparative Case Study of Two Polar Expeditions. Mobilization and Sensibility on Polar Expeditions: More than Mere Motivation. Mobilizing Social Networks beyond Project Team Boundaries: The Case of Polar Expeditions. A Methodology for Investigating the "Actual" Course of a Project: The Case of a Polar Expedition. A Traditional Cree Expedition on the Ancestral Lands of the Neeposh Family of Northern Québec. Borrowing Concepts from Expedition Travel to Stimulate Alternative Tourism. The Project Front End: Financial Guidance Based on Risk. Lessons Learned from Sports Climbing: Some Disrespectful Discourse on Project Planning. Managing Extreme Situations in Fire and Rescue Organizations: The Complexity in Implementing Feedback. Coordination Practices in Extreme Situations: Lessons from the Military. Developing Collective Competence in Extreme Project Teams: The French Special Forces Case. Situated Teams: Dropping Tools on Mount Everest. Planning Risk and Cool Heads: Survival Conditions Required for Managing Projects. Flexibility and Rigidity in Planning a Program: The Case of the Montreal Metro Renovation Project. Project Manager: Specialist or Generalist? Project Management and the Unknown. Control and Flexibility: Which Balance Do We Mean? Conclusion. Epilog. Afterword: Looking for the Ordinary in the Extraordinary! Index.

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Book SynopsisOrganisations are using data, information and knowledge as a competitive weapon. Their data, information and knowledge are arguably their most valuable assets. Yet, this fourth asset is managed badly when compared to the other three assets, namely money, people and infrastructure with considerable risk to the organisation. Executives are accountable for the success of their organisations, and those who don't manage this critical resource and business enabler effectively can be regarded as negligent. Information Assets carry enormous risk and value. Most boards and executives don't know how to govern and manage IAs effectively and nobody is held accountable. Given this, organisations should govern and manage their Information Assets the way they manage their Financial Assets. The benefits of managing IAs well are compelling. These benefits include increased efficiency, productivity, employee satisfaction, improved decision-making, mitigating business risk and improving product, proteTrade ReviewPrice and Evans have produced a ground-breaking, mind-altering book on how organizations and executives need to be thinking about and approaching information in their organizations, but why they regularly fail to do so. This perhaps is the most comprehensively researched and one of the most important books ever published on the topic of managing data as an actual enterprise asset and overcoming the persistent business pathology preventing it. - Douglas B. Laney, Innovation Fellow, West Monroe Partners, and author of Infonomics and Data Juice”If you think money, people, and infrastructure, are your only assets to manage, think again. It is impossible to manage any other asset well without managing the data, information, and knowledge which underly them and are assets in their own right. Price and Evans offer compelling arguments based on experience, the latest research, and industry leaders. Learn from them and put this book to work! - Danette McGilvray, President and Principal, Granite Falls Consulting, Inc. Author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, 2nd Ed. (Elsevier/Academic Press, 2021)At a time when everyone seems to have become an instant data expert and AI genius, it’s refreshing to read a rigorously researched and pragmatically laid out examination of this fundamentally important topic. In my view, it’s a prime example of the Australian MBA culture (minimum bullshit allowed) in action, and needs to be on everyone’s reading list. - Daragh O Brien, CEO, Castlebridge and Lecturer in Data Protection and Data Governance, UCD Sutherland School of Law.Recognizing data, information, and knowledge as assets and treating them as such may be the single most effective way a company can improve its strategic position. And doing so is an absolute necessity for those pursuing AI.- Thomas C. Redman, Ph. D., the Data Doc, Data Quality Solutions, Rumson, NJ USATable of ContentsIntroduction Chapter 1: Background/context Chapter 2: Benefits of Managing IAs Effectively Chapter 3: Executive Awareness Chapter 4: Business Environment Chapter 5: Leadership and Management Chapter 6: Asset Governance Chapter 7: Information Systems Chapter 8: Information Assets Behaviours Chapter 9: Information Asset Attributes and Quality Chapter 10: Information Asset Performance/Exploitation Chapter 11: Justification Chapter 12: Conclusion and Call to Action

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Book SynopsisFinance Transformation: Leadership on Digital Transformation and Disruptive Innovation is a general and wide-ranging survey of Finance Transformation and Emerging Technologies. Finance and IT have long been important areas of any business, but recent technological developments are both innovating and disrupting both. This book lays a path towards the benefits and away from potential risks. It covers the widest array of topics from quantum computing to blockchain technology, from organizational culture and diversity to hybrid working, from regulation to cybersecurity. Written by two vastly experienced industry professionals, the book includes real-life examples and up-to-date references. It will be of particular interest to business stakeholders, executives, and policymakers.

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Book SynopsisAI is evolving in a way that mirrors how past technologies were initially adopted. Right now, most organizations are adding AI tools to their existing systems without rethinking their overall processes. But to fully unlock the potential of AI, companies will eventually need to build their operations around it.As Generative AI continues to develop, itâs becoming more context-aware, capable of understanding situations and making decisions. This shift will move AI beyond simply improving individual tasks. It will enable smarter organizational interactions, powered by technologies like Knowledge Graphs for understanding and Intelligent Agents for decision-making.Over time, businesses will transform into AI-Centered Enterprises (ACEs), using this advanced technology to create new value in internal marketplaces. Unlike past approaches like Business Process Reengineering, this change isnât about completely overhauling processes. Instead, itâs about rethinking how information flows within organizations. With Context-Aware AI, companies can identify and fix information bottlenecks, enabling smoother, more dynamic communication through flexible, agentic AI platforms rather than rigid, tightly-structured systems.Understanding this transformation requires a basic understanding of how businesses work. It also means recognizing the limits of AI and knowing where human expertise is still essential. This book offers that knowledge, along with real-life examples and practical tips to help businesses navigate this transformation.

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Book SynopsisMany professionals and students in engineering, science, business, and other application fields need to develop Windows-based and web-enabled information systems to store and use data for decision support, without help from professional programmers. However, few books are available to train professionals and students who are not professional programmers to develop these information systems. Developing Windows-Based and Web-Enabled Information Systems fills this gap, providing a self-contained, easy-to-understand, and well-illustrated text that explores current concepts, methods, and software tools for developing Windows-based and web-enabled information systems. Written in an easily accessible style, the book details current concepts, methods, and software tools for Windows-based and web-enabled information systems that store and use data. It is self-contained with easy-to-understand small examples to walk through concepts and implementation details along with large-scTrade Review"This book takes a comprehensive approach to cover the topics of information systems and their development. At the same time it has detailed examples to help readers at different levels. … detailed examples and case studies makes it a good textbook and reference for readers of diverse backgrounds."—Xiangyang Li, Johns Hopkins University"The main strength of this book is that it is written by industrial engineering professors that understand how to present important data management concepts to engineers that may not have a computer science background. Most books on data management and information systems are written with the computing professional in mind. This book finally gives engineers an understandable approach to learning the fundamental data management concepts that are relevant to engineering applications."—Susan D Urban, Texas Tech University"The book is provides a comprehensive introduction to the concepts of information systems. Furthermore, this book has struck the right balance of having sufficient business case concepts for implementing information systems as well as including important technical theories on designing databases."—Eugene Rex L. Jalao, Ph.D., University of the Philippines Diliman"… the most comprehensive book to introduce information system. … covers all the topics related to information system from theoretical background to practical applications. … organized very well and considers the diversity of the readers which will attract a huge number of audiences. … the best textbook for information system related class at both the undergraduate and graduate levels. … covers lots of complex case studies."—Mengqi Hu, Mississippi State UniversityTable of ContentsFoundations of Information Systems. Boolean algebra and digital logic circuits. Digital data representation. Computer system software. Network system software. Information Assurance. An Overview of Information Systems for Window and Web Applications. Database Design and Development. Data Modeling: E-R and EE-R Modeling. Data modeling: Relational Data Modeling and Normalization. SQL. Access. MySQL. Object-Oriented Database. Windows Application Development. Visual Basic Programming I. Visual Basic Programming II. Visual Basic Programming III. Windows Forms and Controls with VBA. Database connectivity with VBA. Windows Forms and Controls with VB.NET. Database connectivity with VB.NET. Web Application Development. Chapter 20. Web applications. Web services. Working with XML I. Working with XML II. Case Studies. A Business Application - Use of VB A and Database. An Engineering Application - Use of VB. NET and Database. A Science Application - Use of ASP.NET and Database.

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Book SynopsisThis is not another how-to guide for program managers or another reiteration of the Project Management Institute's standards for program management. Instead, Program Management Leadership: Creating Successful Team Dynamics examines various leadership approaches and illustrates the value of effective leadership styles in Program Management for achieving program and project success.Identifying critical success factors specific to program management, the book focuses on effective leadership styles and the power of teamwork in exceeding expectations. It starts by examining various leadership styles and traitsproviding helpful insights on the tough choices leaders are often forced to make. It describes effective methods to help leaders work with stakeholders and team members to set visions and objectives so that program goals are achieved with greater frequency.Next, the book further examines teams and explains how to bring people from various experiTable of ContentsIntroduction. Leadership and Program Management. Leadership Study. Developing and Achieving a Common Vision. The History of Project and Program Management. Distinction between Portfolio, Program, and Project Management. Leadership. Introduction to Leadership. External Factors Affecting Leadership. Individual Motivation. Leadership Theories. Leadership in Program Management. Leadership and Teams. Building Teams. Team Dynamics. High-Performing Teams (HPTs). Conflict Resolution. Case Study in Leading Teams. Formal Leadership Processes. Formal Processes.

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Book SynopsisThis 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.Table of ContentsPART I: BIG DATA: OPPORTUNITIES AND CHALLENGES 1. Big Data: An Overview 2. Big Data Between Pros and Cons 3. Big Data Uses and the Challenges They Face 4. Twitter’s Big Data Analysis Using RStudio 5. Big Data for Business Growth in Small and Medium Enterprises (SMEs) PART II: BIG DATA AND BUSINESSES’ DECISION-MAKING PROCESS? 6. The Role of Big Data in Strategic Decision-Making 7. Data Mining and Its Contribution to Decision-Making in Business Organizations 8. The Strategic Role of Big Data Analytics in the Decision-Making Process 9. The Role of the Information System in Making Strategic Decisions in the Economic Institution: Case Study of Baticic in Ain Defla, Algeria 10. The Role of Big Data Analysis and Strategic Vigilance in Decision-Making 11. Big Data Analysis and Its Role in Making Strategic Decisions PART III: BIG DATA APPLICATIONS: BUSINESS EXAMPLES 12. The Farthest Planning of Big Data in the Light of Information Technology: "Smart Cities: A World to Yet" 13. Blockchain Technology as a Method Based on Organizing Big Data to Build Smart Cities: The Dubai Experience 14. The Uses of Big Data in the Health Sector 15. The Role of Big Data in Avoiding the Banking Default in Algeria (The Possibility of Upgrading the Preventive Centers of the Bank of Algeria as a Source of Big Data) 16. Marketing Information System as a Marketing Crisis Management Mechanism through Big Data Analytics: A Case Study of Algeria Telecom in Bouira 17. Perspectives of Big Data Analytics’ Integration in the Business Strategy of Amazon, Inc. 18. The Hospital Information System: A Fundamental Lever for Performance in Hospitals PART IV: BIG DATA AND SUSTAINABLE DEVELOPMENT 19. Big Data Analysis and Sustainable Development 20. Big Data for Sustainable Development Goals: Theoretical Approach 21. Using Big Data in Official Statistics for Sustainable Development 22. The Initiatives of the UN to Improve the Quality of Big Data and Support the Sustainable Development Goals for 2030 23. Big Data and It Role in Achieving the Sustainable Development Goals: Experiences of Leading Organizations

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Book SynopsisMost 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 eTable of ContentsTable of Contents Why Information Systems Matter in Business Role of Information Systems in Business information Systems Hardware Information Systems Software Data, Databases, and Database Management Information Networks Integrating the Organization Connecting with Customers and Suppliers Making Better Decisions Planning and Selecting Information Systems Developing Information Systems Managing Information Systems Index

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Book SynopsisToday, there are few in senior management positions who can afford to ignore modern information technology, and few individuals who would prefer to be without it. Modern IT is key to organizational performance; yet we often assume the benefits will occur without forethought or effort. As managerial tasks become more complex, so the nature of the required information systems changes â from structured, routine support to ad hoc, unstructured, complex enquiries at the highest levels of management. If taken for granted, serious implications can arise for organizations.This fifth edition of Strategic Information Management has been brought fully up to date with recent developments in the management of information systems, including digital transformation strategy, the issues surrounding big data and algorithmic decision-making. The book provides a rich source of material reflecting recent thinking on the key issues facing executives, drawing from a wide range of contemporarTrade Review"This fifth edition of Strategic Information Management updates and extends a unique selection of theories and valuable practice insights, established in the previous editions, and offers a roadmap for executives navigating in the digital landscape and coping with the digitization challenges associated with organizational transformation. The book has the right balance of theoretical frameworks and practical insights. Taken together, the book reflects recent thinking regarding many of the key issues facing executives in getting the most out of their investments in information technology and digitalization initiatives, highlighting the complex strategy, organizational and governance issues involved." — IOANNA CONSTANTIOU, Copenhagen Business School, Denmark"I'm pleased the editors of Strategic Information Management have produced this 5th edition, which represents a major overhaul, including online supporting materials not available with prior editions. Particularly valuable is the amplification of theory in this edition – not theory for theory's sake, but rather practice-guiding theory; the implication being that we are all researchers and that complex matters demand research and unique approaches and solutions. I strongly encourage students and practitioners to assume an evidence-based practice perspective when reading and reflecting on these writings which, combined, provide a much-needed stimulus for critical thinking on these complex matters in what are challenging times." — GUY GABLE, Queensland University of Technology, Australia"The fifth edition of Strategic Information Management has great value in providing directions for practitioners and scholars towards an understanding of the strategic importance and managerial challenges of digital transformation in today’s organizations. With inputs from international scholars, the book offers really useful management frameworks and principles to help in understanding how organizations and industries are transformed by disruptive digital technologies." — CAROL HSU, Tongji University, China"This fifth edition of Strategic Information Management updates and strengthens what has long served as a vehicle through which current and future executives obtain a foundational understanding as well as pragmatic insights regarding a host of strategic and managerial issues associated with the digital transformation of organizations. As with the earlier editions, the authors refuse to fall into the too-often-taken route of providing readers with a handbook offering ‘one-size-fits-all’ practices and procedures – solutions which ultimately fail to align with the situations faced by readers. Instead, the editors successfully provide readers with exposures to critical themes and frameworks and to illustrations of how some of our brightest executives are applying these in addressing digitalization initiatives and challenges – providing readers with the capability to formulate workable solutions to many, if not most, of the situations they face in their digital transformation efforts." — ROBERT W. ZMUD, University of Oklahoma, USA"This fifth edition of Strategic Information Management updates and extends a unique selection of theories and valuable practice insights, established in the previous editions, and offers a roadmap for executives navigating in the digital landscape and coping with the digitization challenges associated with organizational transformation. The book has the right balance of theoretical frameworks and practical insights. Taken together, the book reflects recent thinking regarding many of the key issues facing executives in getting the most out of their investments in information technology and digitalization initiatives, highlighting the complex strategy, organizational and governance issues involved." – IOANNA CONSTANTIOU, Copenhagen Business School, Denmark"I'm pleased the editors of Strategic Information Management have produced this 5th edition, which represents a major overhaul, including online supporting materials not available with prior editions. Particularly valuable is the amplification of theory in this edition – not theory for theory's sake, but rather practice-guiding theory; the implication being that we are all researchers and that complex matters demand research and unique approaches and solutions. I strongly encourage students and practitioners to assume an evidence-based practice perspective when reading and reflecting on these writings which, combined, provide a much-needed stimulus for critical thinking on these complex matters in what are challenging times." – GUY GABLE, Queensland University of Technology, Australia"The fifth edition of Strategic Information Management has great value in providing directions for practitioners and scholars towards an understanding of the strategic importance and managerial challenges of digital transformation in today’s organizations. With inputs from international scholars, the book offers really useful management frameworks and principles to help in understanding how organizations and industries are transformed by disruptive digital technologies." – CAROL HSU, Tongji University, China"This fifth edition of Strategic Information Management updates and strengthens what has long served as a vehicle through which current and future executives obtain a foundational understanding as well as pragmatic insights regarding a host of strategic and managerial issues associated with the digital transformation of organizations. As with the earlier editions, the authors refuse to fall into the too-often-taken route of providing readers with a handbook offering ‘one-size-fits-all’ practices and procedures – solutions which ultimately fail to align with the situations faced by readers. Instead, the editors successfully provide readers with exposures to critical themes and frameworks and to illustrations of how some of our brightest executives are applying these in addressing digitalization initiatives and challenges – providing readers with the capability to formulate workable solutions to many, if not most, of the situations they face in their digital transformation efforts." – ROBERT W. ZMUD, University of Oklahoma, USATable of ContentsPart 1: Foundations to IS Strategy and Strategizing 1. Historical Approaches: Experiences in Information Systems Planning 2. Further Reflections: Reflections on Information Systems Strategizing 3. A Critique: On Confronting Some of the Common Myths of IS Strategy 4. Conceptual Developments: Further Developments in Information Systems Strategizing: Unpacking the Concept 5. Aligning Practices: Aligning in Practice: From Current Cases to a New Agenda Part 2: Digital Transformation and Organizational Transformation 6. Navigating digital transformation: How Big Old Companies Navigate Digital Transformation 7. Formulating a digital strategy: Options for Formulating a Digital Transformation Strategy 8. Building Digital Capabilities: How Lego Built the Foundations and Entreprise Capabilities for Digital Leadership 9. Chief Digital Officers: How Chief Digital Officers Promote the Digital Transformation of their Companies 10. Power Dynamics: Strategic Information Systems and Organizational Power Dynamics Part 3: Organizing and Governing the IS Function 11. Principles and models: Principles and Models for Organizing the IT Function 12. Managing in economic decline: How CIOs Manage IT during Economic Decline: Surviving and Thriving Amid Uncertainty 13. CIO profiles: CIO Leadership Profiles: Implications of Matching CIO Authority and Leadership Capability on IT Impact 14. Alternative roles for Chief Digital Officers: Three Types of Chief Digital Officers and the Reasons Organizations Adopt the Role 15. The IS organization: Rethinking the concept: Rethinking the Concept of the IS Organization Part 4: Some Current and Emerging Challenges 16. Opening strategy through social media: Social Media and the Emergence of Reflexiveness as a New Capability for Open Strategy 17. Organizational socialization and social media: An Affordance Perspective of Social Media and Organizational Socialization 18. Decision support systems failures: When Decision Support Systems Fail: Insights for Strategic Information Systems from Formula 1 19. Opportunities and challenges of datification: Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of 'Datification' 20. Ethical issues: Ethical Issues in the Big Data Industry

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Book SynopsisAssisting organizations in improving their project management processes, the Project Management Maturity Model defines the industry standard for measuring project management maturity and agile and adaptive capabilities.Project Management Maturity Model, Fourth Edition provides a roadmap showing organizations how to move to higher levels of organizational behavior, improving project success and organizational performance. It''s a comprehensive tool for enhancing project management practices, covering areas critical to organizational improvement, such as the project management office, management oversight, and professional development. It also provides methods for optimizing project management processes and suggestions for deploying the model as a strategic tool in improving business outcomes. New material in each chapter also outlines good practices for implementing adaptive an agile processes. The book also includes the Project Portfolio Management Maturity ModeTable of Contents1. Describing Project Management Maturity. 2. Definitions of Maturity Levels. 3. Project Integration Management. 4. Project Scope Management. 5. Schedule Management. 6. Cost Management. 7. Quality Management. 8. Resource Management. 9. Communications Management. 10. Risk Management. 11. Procurement and Vendor Management. 12. Project Stakeholder Management. 13. Now What? Using Your Maturity Assessment to Achieve Business Goals. Epilogue. Appendix A: Self-Assessment Survey. Appendix B: PPM Maturity Model. Appendix C: A Glossary of Terms for Adaptive/Agile Project Management. References. Index.

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Book SynopsisThis book discusses business architecture as a basis for aligning efforts with outcomes. It views BA as complementary to enterprise architecture, where the focus of technological initiatives and inventories is to understand and improve business organization, business direction, and business decision-making. This book provides a practical, long-term view on BA. Based on the authors'' consulting experience and industrial research, the material in this book is a valuable addition to the thought processes around BA and EA. The lead author has direct and practical experience with large clients in applying APQC capability framework for undertaking multiple enterprise-wide capability assessments.Table of ContentsList of FiguresList of TablesAcknowledgmentsForewordPrefaceAuthorsSection A CONCEPTS AND ODBA FRAMEWORK1 Business Strategies and Outcome-Driven Business Architecture2 Developing Business Architecture I—Capabilities and Challenges3 Developing Business Architecture—II4 Building and Assessing Business Capabilities—I5 Implementing Business Capabilities—II6 Metrics and Measurements with Outcome-Driven Business Architecture7 Governance, Risk, and Compliance and QualitySection B PRACTICE AND TOOLS8 Establishing and Managing the Business Architecture Practice9 ODBA, Big Data, and a Functioning Agile OrganizationSection C CASE STUDIES10 Business Architecture and Capability Case Study 1—Manufacturing Industry11 ODBA and Capability-Building Case Study 2—Energy Market12 Business Architecture and Capability Case Study 3—Government ServicesBibliographyIndex

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Book SynopsisThe Lean Approach to Digital Transformation: From Customer to Code and From Code to Customer is organized into three parts that expose and develop the three capabilities that are essential for a successful digital transformation: 1. Understanding how to co-create digital services with users, whether they are customers or future customers. This ability combines observation, dialogue, and iterative experimentation. The approach proposed in this book is based on the Lean Startup approach, according to an extended vision that combines Design Thinking and Growth Hacking. Companies must become truly customer-centric, from observation and listening to co-development. The revolution of the digital age of the 21st century is that customer orientation is more imperative -- the era of abundance, usages rate of change, complexity of experiences, and shift of power towards communities -- are easier, using digital tools and digital communities. 2. DevelopiTable of ContentsPart 1: Digital transformation: Customer orientation and homeostasis Chapter 1 Why a digital transformation? Chapter 2 Homeostasis: continuous adaptation to change Chapter 3 Lean Startup: Lean principles applied to co-creation Part II: Exponential information systems Chapter 4 The Information System as a foundation for digital transformation Chapter 5 Artificial intelligence and machine learning Chapter 6 Governance, architecture and situational potential Part III: Software platforms and service factories Chapter 7 DevOps and software factories Chapter 8 Putting platforms at the service of digital transformation Conclusion

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Book SynopsisBecause digital and information technology (IT) has become a more significant part of strategic advantage and workplace operations, information systems personnel have become key to the success of corporate enterprises, particularly with the pursuit of becoming more digital. This book focuses on the vital role that technology must play in the course of organizational development and learning and on the growing need to integrate technology, particularly digital technology, fully into the culture of all organizations. Fundamentally this fourth edition takes an even stronger position than the previous editions that organizational learning is crucial to the success of what has been coined digital transformation. Companies are struggling to understand what it means to be digital. Their technology personnel go far beyond the traditional IT staff into areas such as artificial intelligence (AI), machine learning (ML), and natural language processing (NL). These three functions now fall underTable of Contents1. The “Ravell” Corporation, 2. The IT dilemma, 3. Technology as a variable and responsive organizational dynamism, 4. Organizational learning theories and technology, 5. Managing organizational learning and technology, 6. Digital technology platforms and the future of work, 7. Virtual teams and outsourcing, 8. Organizational learning, IT, and technology disruptions, 9. Forming a cyber security culture, 10. Digital transformation and changes in consumer behavior, 11. Integrating multiple generations of employees to accelerate competitive advantage in the digital age, 12. Toward best practices, 13. Conclusion

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Book SynopsisThe concept of a PKI (public key infrastructure) has been around for decades, but it is one strand of IT which has taken an extraordinarily long time to come to fruition within the mainstream. This is mostly because implementing a PKI is time consuming and difficult. Maintaining a PKI is equally time consuming and even more difficult within the real world of mergers and acquisitions against a backdrop of ever-changing technology. Many organisations simply give up and hand everything over to a third party who promises to manage everything on their behalf. This is generally not a good idea and simply delays the inevitability of failures and misunderstood complexity. This book explores all the aspects of implementing and maintaining a PKI that the other books on the subject seem to miss. It reflects decades of hard-won experience, not only in PKI, not only in IT, not only in electronics, but in business, government agencies and academia alike. The book also explores the existence of a PKI alongside other technologies, such as biometrics, and against an ever-changing world of development methodologies. This last point is particularly relevant at this time as we are in the middle of a quiet, but all encompassing revolution in this respect. Consequently, this is the one book on PKI that you have to have on your shelf, whether you be a company director, IT manager, government minister or teacher of IT. It is the book which fills in all the gaps left in the literature and treads paths which others fear to tread. You will enjoy it enormously if you are from an IT background.Table of Contents1. What exactly is a PKI? The original concept, 2. How does PKI work? The nuts and bolts of PKI, 3. What are the primary applications for a PKI? How applications are changing, 4. What exactly is a digital certificate? The contents of a certificate, 5. What about encryption? How a public key infrastructure is used for encryption, 6. Biometrics and PKI: The possibilities of biometric certificates, 7. What is the conventional wider infrastructure? Different infrastructure models explained, 8. Kubernetes, containers and PKI: The container model and its implications for PKI, 9. Trust and certificates: The original concept has changed, 10. How may a localised infrastructure work? Keeping things simple, 11. What happens when certificates expire? What can go wrong?, 12. How do we ensure that certificates do not expire? Methodologies for security, 13. How does the human interaction work? Managing things manually, 14. Can we organise everything ourselves? Understanding what to do, 15. How long does it take to implement a proper PKI? Understanding the scale of the problem, 16. What skills are required for operational personnel? Understanding associated technologies, 17. How do we embed a PKI culture in the workplace? Communication, 18. How do we keep it working as we grow? Planning and documentation, 19. What happens if we acquire other companies? Merging public key infrastructures, 20. Who should be responsible for it all? Accountability, 21. PKI, the cloud and the Internet of things: What we should understand, 22. PKI and the global financial industry: The reliance upon a large-scale public key infrastructure, 23. PKI and government legislation: Ensuring that legislation is compatible, 24. Consequences: What happens when it all goes wrong

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Book SynopsisThis comprehensive guide explores the fundamentals of digital business, from understanding digital business models to leveraging emerging technologies and trends.The work begins by examining the rise of digital business and the disruption it caused within traditional industries. Chapters then delve into key topics such as building a digital business strategy, designing a strong online presence, e-commerce, digital marketing, data analytics, cybersecurity, and more. Written in a clear and accessible style, the author provides real-world examples to illustrate how successful companies have leveraged digital technologies to drive growth and achieve their business goals. Each chapter features case studies, learning objectives and key discussion questions to augment student learning.This new text is recommended reading for undergraduate and postgraduate students of Digital Business, Digital Marketing, and Business Analytics. It will also be valuable reading for reflective practitioners in the industry.The book is accompanied by online resources including PowerPoint slides, an instructor's manual, a test bank of questions, and worksheets for each chapter, providing instructors with the necessary tools to keep their courses up to date, engaging, and effective in preparing students for the ever-changing digital business landscape.

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Book SynopsisData Analysis for Business Students: A Mind-Mapping Approach is an innovative educational resource that guides business students in mastering the essential concepts and methodologies of data analysis. This textbook's unique instructional design incorporates mind maps, a proven cognitive tool to streamline the learning experience, making complex data analysis concepts more digestible. Organised into six parts, the textbook covers introductory topics, data collection and presentation, basic and advanced data analytics techniques, special issues in data analysis, and data analysis in the digital world. By integrating mind maps with practical applications and real-world case studies, the textbook equips students with the analytical acumen necessary to navigate the data-rich business world.This unique pedagogical approach offers three key advantages: Simplifying complex information: Mind maps systematically organise information, making it easier for students to understand complex data analysis concepts. Improving memory retention: By linking pieces of information together, mind maps stimulate the brain, activating long-term memory, and enhancing memory retention. Increasing student engagement: Mind maps can help students prepare for class activities, enabling a deeper understanding of the subject and allowing instructors to focus more on practical skills and critical thinking. With extensive online resources, including PowerPoint slides, an instructor's manual, a quiz bank, and tutorial questions, as well as instructional videos on creating your own mind maps, Data Analysis for Business Students: A Mind-Mapping Approach offers a fresh and invigorating look at the subject which will be highly valued by business students at advanced undergraduate and postgraduate level.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisDigital transformation is a business concern; it is no longer just IT that must get things done.The disruptive force of start-ups focusing on IT-based services that can be consumed through mobile devices cannot be underestimated -- These start-ups eat away at the high-margin services provided by incumbents, leaving lower margin products and services that are rapidly being commoditized. This is happening in all industry sectors and it is the ones who are best able to adjust, innovate, and improve their service offerings that will survive. The question is: What do you need to do to ensure that your organization is one of the survivors?The core of the solution to the problem is to radically improve the way the IT organization works together with the business. To be clear, the digital transformation of your business depends on that relatively small group of people in the basement, or other out-of-the-way location, who make surethat your IT services worTable of ContentsPreface. Introduction. Transformation. PART I: The Goal. Chapter 1: Lean IT. Chapter 2: The IT Context. Chapter 3: Lean IT Transformation. Chapter 4: The Basics of Lean. Chapter 5: Lean IT and its Relations. Chapter 6: Becoming Lean. PART II: Starting Out. Chapter 7: The First Steps. Chapter 8: Ways To Start. Chapter 9: Leadership Awakens. Chapter 10: Transformation Plan. Chapter 11: Transforming To Lean IT. Chapter 12: Change Story. PART III: Leadership Transformation. Chapter 13: Before starting the Leadership Transformation. Chapter 14: Change Story - revisited. Chapter 15: Fulfilling the Commitment. Chapter 16: Go See. Chapter 17: Control. Chapter 18: Organizing for Flow. Chapter 19: Leadership Kaizen. Chapter 20: High Performance Team. PART IV: Team Transformation. Chapter 21: Getting Teams Prepared. Chapter 22: Analyzing a team. Chapter 23: Implementing. PART V: Continuous Improvement. Chapter 24: Improving. Chapter 25: Investigating Problems. Chapter 26: Embedding Solutions. Chapter 27: The Road Goes On. References. Glossary. Appendices.

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If you want to be a successful project manager, you need to become a person of influence. Without influence, there can be no success as a project manager. And, although all key success criteria point to the importance of developing soft skills as a project manager, few books exist about how to develop the power of influence for achieving better project and business results. Filling this need, The Influential Project Manager: Winning Over Team Members and Stakeholders supplies detailed guidance on how to improve your influence skills to achieve better business results. It explains how to set and meet ambitious goals for you, your team, and your stakeholders. The book describes how to listen actively to influence others and details how you can build partnerships that can pay dividends for a lifetime. Each chapter highlights real-world scenarios about a particular subject linked to the influencing skill being covered. Each chapter also includes practica

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Book SynopsisWhether you're taking the CPHIMS exam or simply want the most current and comprehensive overview in healthcare information and management systems today, this completely revised and updated fourth edition has it all. But for those preparing for the CPHIMS exam, this book is also an ideal study partner. The content reflects the outline of exam topics covering healthcare and technology environments; clinical informatics; analysis, design, selection, implementation, support, maintenance, testing, evaluation, privacy and security; and management and leadership. Candidates can challenge themselves with the sample multiple-choice questions given at the end of the book.The benefits of CPHIMS certification are broad and far-reaching. Certification is a process that is embraced in many industries, including healthcare information and technology. CPHIMS is recognized as the gold standard' in healthcare IT because it is developed by HIMSS, has a global focus and is valued by clinicians aTable of ContentsPreface. Acknowledgments. Editor. Section I HEALTHCARE AND TECHNOLOGY ENVIRONMENTS. 1 Healthcare Environment. 2 Technology Environment. Section II CLINICAL INFORMATICS. 3 Clinical Informatics. Section III HEALTHCARE INFORMATION AND SYSTEMS MANAGEMENT 4 Analysis. 5 Design. 6 Selection, Implementation, Support and Maintenance. 7 Testing and Evaluation. 8 Privacy and Security. Section IV MANAGEMENT AND LEADERSHIP. 9 Management and Leadership. 10 Questions. 11 Answer Key. Index.

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Book SynopsisArchitecture for the Commons dives into an analysis of how the tectonics of a building is fundamentally linked to the economic organizations that allow them to exist. By tracing the origins and promises of current technological practices in design, the book provides an alternative path, one that reconsiders the means of achieving complexity through combinatorial strategies. This move requires reconsidering serial production with crowdsourcing and user content in mind. The ideas presented will be explored through the design research developed within Plethora Project, a design practice that explores the use of video game interfaces as a mechanism for participation and user design. The research work presented throughout the book seeks to align with a larger project that is currently taking place in many different fields: The Construction of the Commons. By developing both the ideological and physical infrastructure, the project of the Commons has become an antidote to current economic practices that perpetuate inequality. The mechanisms of the production and governance of the Commons are discussed, inviting the reader to get involved and participate in the discussion. The current political and economic landscape calls for a reformulation of our current economic practices and alternative value systems that challenge the current market monopolies. This book will be of great interest not only to architects and designers studying the impact of digital technologies in the field of design but also to researchers studying novel techniques for social participation and cooperating of communities through digital networks. The book connects principles of architecture, economics and social sciences to provide alternatives to the current production trends.Table of ContentsIntroduction - A Call for a Post-2008 Architecture 1. Architectural Progress 2. The Coalescence of Parts 3. In Defense of Parts 4. Immaterial Architectures 5. Reconstruction through Self-Provision Index

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Book SynopsisHow can machine learning help the design of future communication networks and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging Table of ContentsPreface; 1. Machine learning and communications: an introduction Deniz Gündüz, Yonina Eldar, Andrea Goldsmith and H. Vincent Poor; Part I. Machine Learning for Wireless Networks: 2. Deep neural networks for joint source-channel coding David Burth Kurka, Milind Rao, Nariman Farsad, Deniz Gündüz and Andrea Goldsmith; 3. Neural network coding Litian Liu, Amit Solomon, Salman Salamatian, Derya Malak and Muriel Medard; 4. Channel coding via machine learning Hyeji Kim; 5. Channel estimation, feedback and signal detection Hengtao He, Hao Ye, Shi Jin and Geoffrey Y. Li; 6. Model-based machine learning for communications Nir Shlezinger, Nariman Farsad, Yonina Eldar and Andrea Goldsmith; 7. Constrained unsupervised learning for wireless network optimization Hoon Lee, Sang Hyun Lee and Tony Q. S. Quek; 8. Radio resource allocation in smart radio environments Alessio Zappone and Mérouane Debbah; 9. Reinforcement learning for physical layer communications Philippe Mary, Christophe Moy and Visa Koivunen; 10. Data-driven wireless networks: scalability and uncertainty Feng Yin, Yue Xu and Shuguang Cui; 11. Capacity estimation using machine learning Ziv Aharoni, Dor Zur, Ziv Goldfeld and Haim Permuter; Part II. Wireless Networks for Machine Learning: 12. Collaborative learning on wireless networks: an introductory overview Mehmet Emre Ozfatura, Deniz Gündüz and H. Vincent Poor; 13. Optimized federated learning in wireless networks with constrained resources Shiqiang Wang, Tiffany Tuor and Kin K. Leung; 14. Quantized federated learning Nir Shlezinger, Mingzhe Chen, Yonina Eldar, H. Vincent Poor and Shuguang Cui; 15. Over-the-air computation for distributed learning over wireless networks Mohammad Mohammadi Amiri and Deniz Gündüz; 16. Federated knowledge distillation Hyowoon Seo, Seungeun Oh, Jihong Park, Seong-Lyun Kim and Mehdi Bennis; 17. Differentially private wireless federated learning Dongzhu Liu, Amir Sonee, Stefano Rini and Osvaldo Simeone; 18. Timely wireless edge inference Sheng Zhou, Wenqi Shi, Xiufeng Huang and Zhisheng Niu.

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Book SynopsisThe ROI from Software Quality provides the tools needed for software engineers and project managers to calculate how much they should invest in quality, what benefits the investment will reap, and just how quickly those benefits will be realized. This text provides the quantitative models necessary for making real and reasonable calculations and it shows how to perform ROI analysis before and after implementing a quality program. The book demonstrates how to collect the appropriate data and easily perform the appropriate ROI analysis.Taking an evidence-based approach, this book supports its methodology with large amounts of data and backs up its positioning with numerous case studies and straightforward return-on-investment calculations. By carefully substantiating arguments, this volume separates itself from other works on ROI.Table of ContentsIntroduction. Measuring software quality. Software quality practices. The state of the practice. A software quality benchmark. Quality and the cost of ownership. Quality and the cost to developers. Quality and profitability. Calculating return-on-investment. Example ROI calculations. The quality of open source software. Making the business case.

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Book SynopsisLearn how to hack systems like black hat hackers and secure them like security expertsKey Features Understand how computer systems work and their vulnerabilities Exploit weaknesses and hack into machines to test their security Learn how to secure systems from hackers Book DescriptionThis book starts with the basics of ethical hacking, how to practice hacking safely and legally, and how to install and interact with Kali Linux and the Linux terminal. You will explore network hacking, where you will see how to test the security of wired and wireless networks. You’ll also learn how to crack the password for any Wi-Fi network (whether it uses WEP, WPA, or WPA2) and spy on the connected devices.Moving on, you will discover how to gain access to remote computer systems using client-side and server-side attacks. You will also get the hang of post-exploitation techniques, including remotely controlling and interacting with the systems that you compromised. Towards the end of the book, you will be able to pick up web application hacking techniques. You'll see how to discover, exploit, and prevent a number of website vulnerabilities, such as XSS and SQL injections.The attacks covered are practical techniques that work against real systems and are purely for educational purposes. At the end of each section, you will learn how to detect, prevent, and secure systems from these attacks.What you will learn Understand ethical hacking and the different fields and types of hackers Set up a penetration testing lab to practice safe and legal hacking Explore Linux basics, commands, and how to interact with the terminal Access password-protected networks and spy on connected clients Use server and client-side attacks to hack and control remote computers Control a hacked system remotely and use it to hack other systems Discover, exploit, and prevent a number of web application vulnerabilities such as XSS and SQL injections Who this book is forLearning Ethical Hacking from Scratch is for anyone interested in learning how to hack and test the security of systems like professional hackers and security experts.Table of ContentsTable of Contents Introduction Setting up The Lab Linux Basics Network Penetration Testing Network Penetration Testing - Pre Connection Attacks Network Penetration Testing - Gaining Access (WEP/WPA/WPA2 Cracking) Post Connection Attacks Man-in-the-middle Attacks Network Penetration Testing - Detection & Security Gaining Access to Computer Devices Scanning vulnerabilities using Tools Client Side Attacks Client Side Attacks - Social Engineering Attack and Detect Trojans with BeEF Attacks Outside The Local Network Post Exploitation Website Penetration Testing Website Pentesting - Information Gathering File Upload, Code Execution & File Inclusion Vulns SQL Injection Vulnerabilities Cross Site Scripting Vulnerabilities Website Pentesting - Discovering Vulnerabilities Automatically Using OWASP ZAP

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