Business mathematics and systems Books

Book SynopsisThe target of SQL tuning is the improvement of the existing execution plan. The authors discuss the removal of brakes in the execution plan. Such "brakes" or bottlenecks can be recognized by a formal analysis of the execution plan. For this purpose no data model knowledge is needed. This is especially beneficial for database administrators because they are usually not or insufficiently familiar with the data model. The book presents numerous practical examples with this method.Table of ContentsPrefaces.- Introduction.- Some thoughts concerning the term "SQL Tuning".- Minimum minimorum to the subject "Execution Plan".- Approaches to formal SQL Tuning.- Bottlenecks in Execution Plans.- Procedure for formal SQL Tuning.- Practical experiences with formal SQL Tuning.- Appendix.- Application of the formal method for analysis of performance issues following Oracle migration.

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

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

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Book SynopsisThis book gathers selected papers presented at the Inventive Communication and Computational Technologies conference (ICICCT 2019), held on 29–30 April 2019 at Gnanamani College of Technology, Tamil Nadu, India. The respective contributions highlight recent research efforts and advances in a new paradigm called ISMAC (IoT in Social, Mobile, Analytics and Cloud contexts). Topics covered include the Internet of Things, Social Networks, Mobile Communications, Big Data Analytics, Bio-inspired Computing and Cloud Computing. The book is chiefly intended for academics and practitioners working to resolve practical issues in this area. Table of ContentsEnhanced Security Mechanism in Cloud based on DNA Excess 3 Codes.- Tensorflow Based Semantic Techniques For Multi-Cloud Applications Portability And Interoperability.- Enhancing High Availability for NoSQL Database Systems using Failover Techniques.- Implementation of Automated Bottle Filling System using PLC.- An Integrated Approach to Network Intrusion Detection and Prevention.

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Book SynopsisThis monograph represents a historic breakthrough in the field of linear programming (LP)since George Dantzig first discovered the simplex method in 1947. Being both thoughtful and informative, it focuses on reflecting and promoting the state of the art by highlighting new achievements in LP. This new edition is organized in two volumes. The first volume addresses foundations of LP, including the geometry of feasible region, the simplex method and its implementation, duality and the dual simplex method, the primal-dual simplex method, sensitivity analysis and parametric LP, the generalized simplex method, the decomposition method, the interior-point method and integer LP method. The second volume mainly introduces contributions of the author himself, such as efficient primal/dual pivot rules, primal/dual Phase-I methods, reduced/D-reduced simplex methods, the generalized reduced simplex method, primal/dual deficient-basis methods, primal/dual face methods, a new decomposition principle, etc.Many important improvements were made in this edition. The first volume includes new results, such as the mixed two-phase simplex algorithm, dual elimination, fresh pricing scheme for reduced cost, bilevel LP models and intercepting of optimal solution set. In particular, the chapter Integer LP Method was rewritten with great gains of the objective cutting for new ILP solvers {\it controlled-cutting/branch} methods, as well as with an attractive implementation of the controlled-branch method. In the second volume, the `simplex feasible-point algorithm' was rewritten, and removed from the chapter Pivotal Interior-Point Method to form an independent chapter with the new title `Simplex Interior-Point Method', as it represents a class of efficient interior-point algorithms transformed from traditional simplex algorithms. The title of the original chapter was then changed to `Facial Interior-Point Method', as the remaining algorithms represent another class of efficient interior-point algorithms transformed from normal interior-point algorithms. Without exploiting sparsity, the original primal/dual face methods were implemented using Cholesky factorization. In order to deal with sparse computation, two new chapters discussing LU factorization were added to the second volume. The most exciting improvement came from the rediscovery of the reduced simplex method. In the first edition, the derivation of its prototype was presented in a chapter with the same title, and then converted into the so-called `improved' version in another chapter. Fortunately, the author recently found a quite concise new derivation, so he can now introduce the distinctive fresh simplex method in a single chapter. It is exciting that the reduced simplex method can be expected to be the best LP solver ever.With a focus on computation, the current edition contains many novel ideas, theories and methods, supported by solid numerical results. Being clear and succinct, its content reveals in a fresh manner, from simple to profound. In particular, a larger number of examples were worked out to demonstrate algorithms. This book is a rare work in LP and an indispensable tool for undergraduate and graduate students, teachers, practitioners, and researchers in LP and related fields.Table of ContentsChapter 1. Introduction.- Chapter 2. Geometry of Feasible Region.- Chapter 3. Simplex Method.- Chapter 4. Implementation of Simplex Method.- Chapter 5. Duality Principle and Dual Simplex Method.- Chapter 6. Primal-Dual Simplex Method.- Chapter 7. Sensitivity Analysis and Parametric LP.- Chapter 8. Generalized Simplex Method.- Chapter 9. Decomposition Method.- Chapter 10. Interior-Point Method.- Chapter 11. Integer Linear Programming (ILP).- Chapter 12. Pivot Rule.- Chapter 13. Dual Pivot Rule.- Chapter 14. Simplex Phase-I Method.- Chapter 15. Dual Simplex Phase-l Method.- Chapter 16. Reduced Simplex Method.- Chapter 17. D-Reduced Simplex Method.- Chapter 18. Generalized Reduced Simplex Method.- Chapter 19. Deficient-Basis Method.- Chapter 20. Dual Decient-Basis Method.- Chapter 21. Face Method with Cholesky Factorization.- Chapter 22. Dual Face Method with Cholesky Factorization.- Chapter 23. Face Method with LU Factorization.- Chapter 24. Dual Face Method with LU Factorization.- Chapter 25. Simplex Interior-Point Method.- Chapter 26. Facial Interior-Point Method.- Chapter 27. Decomposition Principle.

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Book SynopsisProgram debugging has always been a difficult and time-consuming task in the context of software development, where spectrum-based fault localization (SBFL) is one of the most widely studied families of techniques. While it’s not particularly difficult to learn about the process and empirical performance of a particular SBFL technique from the available literature, researchers and practitioners aren’t always familiar with the underlying theories. This book provides the first comprehensive guide to fundamental theories in SBFL, while also addressing some emerging challenges in this area. The theoretical framework introduced here reveals the intrinsic relations between various risk evaluation formulas, making it possible to construct a formula performance hierarchy. Further extensions of the framework provide a sufficient and necessary condition for a general maximal formula, as well as performance comparisons for hybrid SBFL methods. With regard to emerging challenges in SBFL, the book mainly covers the frequently encountered oracle problem in SBFL and introduces a metamorphic slice-based solution. In addition, it discusses the challenge of multiple-fault localization and presents cutting-edge approaches to overcoming it. SBFL is a widely studied research area with a massive amount of publications. Thus, it is essential that the software engineering community, especially those involved in program debugging, software maintenance and software quality assurance (including both newcomers and researchers who want to gain deeper insights) understand the most fundamental theories – which could also be very helpful to ensuring the healthy development of the field. Table of ContentsChapter 1. Introduction.- Chapter 2. A Theoretical Framework for Spectrum-based Fault Localization.- Chapter 3. Theoretical Comparison Among Risk Evaluation Formulas.- Chapter 4. On the Maximality of Spectrum-based Fault Localization.- Chapter 5. A Generalized Theoretical Framework for Hybrid Spectrum-based Fault Localization.- Chapter 6. Practicality of the Theoretical Frameworks.- Chapter 7. Tackling the Oracle Problem in Spectrum-based Fault Localization.- Chapter 8. Spectrum-based Fault Localization for Multiple Faults.- Chapter 9. Conclusion.

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Book SynopsisData Mining in Business.- Data Mining Processes.- Data Mining Software.- Association Rules.- Cluster Analysis.-Regression Algorithms in Data Mining.- Classification Tools.- Variable Selection.- Dataset Balancing.

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Book Synopsis1 Enterprise Operating Model.- Chapter 2: Non-interest cost management.- Chapter: 3 Enterprise Process Automation, TDABC.- Chapter 4: Operating Leverage.- Chapter 5: Improving Operating Leverage.- Chapter 6: Operating Leverage Bank of the Future.

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Book SynopsisBusiness analysis is a vital business change function with the potential to offer an efficient and valuable business service. Effective business analysis enables greater project success, informed investment choices and the delivery of beneficial business outcomes. A BA service is essential to modern businesses. Delivering Business Analysis explores the creation and management of a BA service, including strategy definition, recruitment and continuous service improvement. The book explains how to move beyond the BA Community of Practice and embrace a service mindset, as well as how to deliver a BA service offering and move on to co-create business value. This is the first publication to support senior BAs and BA team leaders within their organisations, helping them to engage with their customers and ensure they lead a team with the skills and tools to deliver an exceptional BA service. It is a key text for anyone driving or enabling successful change outcomes who wish to understand the benefits that accrue from adopting a service approach. A comprehensive manual, covering all aspects of establishing and maintaining a BA service Offers BA Leaders a timely road map for moving from a standard community of practice to a customer-focused BA service A variety of practical and informative case studies is included, each of which focuses on a particular aspect of BA service delivery and leadership This guide will enable BA leaders to attract, recruit and retain high-performing business analysts to their organisations Fully aligned with the syllabus for the BCS Professional Certificate in Business Analysis Service Delivery Trade Review'This book contains a wealth of information and models to help BA leaders understand what their organisation needs from the BA function. The use of models and frameworks works particularly well; using an abstract concept to make sense of a concrete situation is, after all, the core of business analysis. This book also recognises the need to understand leadership as a distinct skillset, which is often overlooked within BA functions as many managers are promoted on the basis of technical excellence and may have little help developing their management competence. Whilst there are lots of ideas included in the book, I was particularly heartened that the importance of organisational context runs strongly throughout; this is not a “one size fits all” instruction manual, but rather a rich source of views and concepts to help BA leaders make the right choices for their own organisations. This book is recommended reading for anyone who has, or aspires to, a BA leadership role.' -- Michelle Shakesheff * Head of Business Analysis, Close Brothers *'Business analysis has evolved as a discipline, but as many BAs will attest, there are obstacles to overcome. Often the role is misunderstood, and having a strong team and strong role identity is crucial. This practical and insightful guide provides concrete steps to avoid "role ambiguity", and will help senior BAs and leaders to clearly set-up, manage and measure the success of their BA service. The book discusses tricky but crucial areas such as value co-creation and the BA value proposition, and many other useful topics besides. The addition of inspirational case studies shows the types of concrete results that can be achieved. This book is exactly what the BA Community has been waiting for: A practical and insightful guide on how to set-up, run, manage and measure a BA Service. A "must read" for all senior BAs and leaders.' -- Adrian Reed * Principal Consultant at Blackmetric & Author of "Business Analyst" *'A wonderful resource for people who are leading or representing business analysis inside their organisation, and are looking to build the understanding, recognition and mobilisation the role deserves - this book is your personal coach and new best friend.' -- Joe Newbert * Chief Training Officer at Business Change Academy & Non-executive director of IIBA South Africa *'The growth of business analysis has led to more and more organisations establishing BA Practices yet little information is available to help them thrive. This book shines a new light on business analysis from a service perspective; providing a timely and comprehensive 'How to guide' for anyone wanting to achieve a sustainable and enduring BA service. Reading this book will provide everything you need from establishing a new BA service, to continuous improvement of established practices, and how to measure them effectively. A must have for any organisation.' -- Lynda Girvan * Senior Business Analyst and Head of BA Profession, CMC Partnership Consultancy Ltd *'This is the book BAs have been waiting for. A comprehensive toolkit for the modern BA covering everything from the BA service, through recruitment, performance and standardisation. This book is suitable for all levels of BA, from those new to the profession, to the most experienced leaders in the industry. Essential reading for any Business Analyst.' -- Sandra Leek * Senior Business Analyst & IIBA UK BA of the Year 2014 *'Debra and Christina have cleverly crafted this insightful guide to encompass all the facets of a high performing 'Business Analysis' capability by using the wealth of its very own toolkit. With the customer firmly at the forefront, this book is packed with practical innovative frameworks, templates and guidelines that you could introduce tomorrow and make an immediate impact to the quality of your BA value proposition. Whether you’re a BA leader, a BA professional or simply a recipient of Business Analysis services, this book brings overdue clarity on how a high performing, modern day Business Analysis capability should be structured, operated and promoted on a day-to-day basis.' -- Ian Richards * Head of Business Analysis, Capita People Solutions & IIBA UK BA of the Year 2016 *'It can be a real struggle to set your standards as a team of business analysts in an organisation, this book gives a clear overview of the steps you can take to create a professional and mature business analysis service.' -- Geertje Appel * Business Analyst & Trainer, Le Blanc Advies *'An important new work further enhancing the Business Analysis discipline. The book brings together the challenges faced in the definition, design and operation of a BA Service, such as where it is situated within an organisation; how to measure its effectiveness; and offers suggestions to address these based on information taken from senior practitioners in the field. Applying concepts from Service Science to Business Analysis, a service framework is proposed. Alongside an indication of the main beneficiaries of each service and the competencies needed to deliver it, this forms an essential manual for BA leaders setting up a new BA Service or wanting to understand the maturity of their existing practice.' -- Dr Terri Lydiard * Director, Teal Business Solutions Limited *'This book is a much-needed book for the BA world! It provides everything and more to be able to understand (and where needed) to implement a BA Service. It combines both theories with practical applications, tools and techniques, which provide the reader with so much more than just theory. A must have book for those wanting to expand their knowledge of BA services and the profession.' -- Joanna Soleki * Head of Strategic Portfolio & Business Change, Sheffield Hallam University, & IIBA UK North Vice-Chair *'Essential reading for BA managers and leaders whether they are wanting to set up or run a BA Service or to develop a team of BAs. This book takes the next step in developing Business Analysis as a profession and will enable managers to build a BA service that adds significant value to their customers and the wider organisation.' -- Dr Katharine Smith * Senior Business Analyst *'A comprehensive, well-crafted and carefully researched guide for BA managers, packed with practical advice and examples. This is a valuable resource for BA Leaders to frequently return to for helpful nudges whilst navigating changing tasks, environments and practice maturity.' -- Michael Greenhalgh * Head of Business Analysis, British Council *'Having experience of being part of and leading two BA Services - I can see how valuable this will be to those running a service of any scale. Whether you’re running a BA Service made up 2 or 200 professionals, whether it’s a new thing or been around for a while, or even if you don’t know you’re running a “BAaaS” – I’m confident you’ll find this an invaluable friend you’ll want to keep coming back to.' -- Jamie Toyne * Head of Business Analysis, Department of Work and Pensions (DWP) *Table of Contents Introducing the BA Service Introducing the BA Service Framework Recruiting and Retaining Business Analysts Developing the Business Analysts Enabling the Business Analysts' Performance Standardising the BA Service Applying Software Tools to Support the BA Service Leading the Business Analysis Service Operating the Business Analysis Service Delivering a Customer-Oriented BA Service Fostering a Business Analysis Service Culture Improving BA Service Quality Measuring the Performance of the BA Service

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Book SynopsisProfessional data management is the foundation for the successful digital transformation of traditional companies. Unfortunately, many companies fail to implement data governance because they do not fully understand the complexity of the challenge (organizational structure, employee empowerment, change management, etc.) and therefore do not include all aspects in the planning and implementation of their data governance. This book explains the driving role that a responsive data organization can play in a company's digital transformation. Using proven process models, the book takes readers from the basics, through planning and implementation, to regular operations and measuring the success of data governance. All the important decision points are highlighted, and the advantages and disadvantages are discussed in order to identify digitization potential, implement it in the company, and develop customized data governance. The book will serve as a useful guide for interested newcomers as well as for experienced managers.Table of ContentsChapter 1. Introduction.- Part 1. Basics.- Chapter 2. What is Data Governance?.- Part 2. Planning.- Chapter 3. Success Factors for the Implementation.- Part 3. Implementation.- Chapter 4. Development of a Responsive Operating Model.- Part 4. Digital Transformation.- Chapter 5. Fundamentals of the Digital Transformation.- Chapter 6. Data Governance as Driver of Value Stream Optimization and as Pacemaker for the Digital Transformation.- Part 5. Performance Measurement.- Chapter 7. Measuring the Success of Data Governance.- Chapter 8. List of Principles.- Chapter 9. Bonus: Data Definition Template.- Chapter 10. Closing Words.

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Book SynopsisUse JSON theme files to standardize the look of Power BI dashboards and reports. This book shows how you can create theme files using the Power BI Desktop application to define high-level formatting attributes for dashboards as well as how to tailor detailed formatting specifications for individual dashboard elements in JSON files. Standardize the look of your dashboards and apply formatting consistently over all your reports. The techniques in this book provide you with tight control over the presentation of all aspects of the Power BI dashboards and reports that you create.Power BI theme files use JSON (JavaScript Object Notation) as their structure, so the book includes a brief introduction to JSON as well as how it applies to Power BI themes. The book further includes a complete reference to all the current formatting definitions and JSON structures that are at your disposal for creating JSON theme files up to the May 2023 release of Power BI Desktop. Finally, the book includes dozTable of Contents1. Introduction to Power BI Themes2. Create and Customize a Theme In Power BI Desktop3. High-Level Theme Definition4. Default Visual Styles5. Object Visual Styles6. Card and Table Visual Styles7. Classic Chart Visual Styles8. Complex Chart Visual Styles9. Other Chart Visual Styles10. Maps11. Miscellaneous Visual Styles12. Dashboard Styling13. Cascading Styles

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Book SynopsisThe Challenge Built to Last, the defining management study of the nineties, showed how great companies triumph over time and how long-term sustained performance can be engineered into the DNA of an enterprise from the very beginning. But what about the company that is not born with great DNA? How can good companies, mediocre companies, even bad companies achieve enduring greatness? The Study For years, this question preyed on the mind of Jim Collins. Are there companies that defy gravity and convert long-term mediocrity or worse into long-term superiority? And if so, what are the universal distinguishing characteristics that cause a company to go from good to great? The Standards Using tough benchmarks, Collins and his research team identified a set of elite companies that made the leap to great results and sustained those results for at least fifteen years. How great? After the leap, the

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Book SynopsisTable of Contents Managing in the Digital World Gaining Competitive Advantage Through Information Systems Managing the Information Systems Infrastructure and Services Enabling Business-to-Consumer Electronic Commerce Enhancing Organizational Communication and Collaboration Using Social Media Enhancing Business Intelligence Using Big Data and Analytics Enhancing Business Processes Using Enterprise Information Systems Strengthening Business-to-Business Relationships via Supply Chain and Customer Relationship Management Developing and Acquiring Information Systems Securing Information Systems Technology Briefing Foundations of Information Systems Infrastructure

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Book SynopsisFormer IBM CTO Mark Minevich discusses critical technology management issues for CTOs, with insights and best practices from global C-Level leaders. Topics include strategic roles, privacy, offshore outsourcing, project execution, technology alignment, future technologies, leadership, risk-taking, and risk management.

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Book SynopsisPaul Milgrom describes how auctions can be used to discover prices and guide efficient resource allocations. Milgrom roots his new theories in real-world examples (including the ambitious U.S. incentive auction of radio frequencies, whose design he led) and provides economists with crucial new tools for solving complex resource allocation problems.Trade ReviewIn Discovering Prices, Paul Milgrom shows how innovative systems of price discovery can help solve vexing problems of reallocation, long thought to be intractable and made particularly challenging by the complexity and interconnectedness of new technologies. Milgrom's revolutionary advance in price theory is a most fitting tribute to Kenneth Arrow, who laid the foundation for understanding the traditional price system. A brilliant, fascinating book. -- Bengt Holmstrom, Massachusetts Institute of Technology, Nobel Laureate in EconomicsWith deep theoretical insights and broad practical experience, Milgrom presents a systematic analysis of the challenges of pricing in complex resource-allocation problems, and in doing so he helps us to better understand the foundations of price theory in economics. -- Roger Myerson, University of Chicago, Nobel Laureate in EconomicsThe elegant theory and mathematics in Milgrom’s Discovering Prices are at the foundation of the FCC’s Broadcast Incentive Auction. I can confirm the successful real-world application of the same, with Milgrom’s active participation during every step of the design and implementation of an auction that will repurpose 84 MHz worth of prime spectrum and generate almost $20 billion in proceeds. -- Gary M. Epstein, Chair of the FCC's Incentive Auction Task ForceThis groundbreaking book of practical economic theory by Milgrom, the world’s most accomplished designer of complex auctions, describes the design of the most complex auction yet: the FCC incentive auction for electromagnetic spectrum. The book also illuminates why the magic of the market doesn’t happen by magic, but sometimes needs to be designed. Every economist, and indeed anyone interested in how markets work, will find these wide-ranging reflections rewarding to read and ponder. -- Alvin E. Roth, Stanford University, Nobel Laureate in EconomicsNo one has greater knowledge or, perhaps more importantly, more reliable instincts when it comes to incentive auction design. Milgrom's excellent monograph should be made available to economists as soon as possible. -- Leslie Marx, Duke UniversityTable of ContentsPreface1. Introduction2. (Near-)Substitutes, Prices, and Stability3. Vickrey Auctions and Substitution4. Deferred-Acceptance Auctions and Near-Substitutes5. ConclusionNotesReferencesIndex

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Book SynopsisIntelligent machines are revolutionizing business.Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready?If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them.In this book you'll learn how: Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights Blockchain has the potential to restructure the economy Drones and driverless vehicles are becoming essential tools 3-D printing is making new business models possible Augmented reality is transforming retail and manufacturing Smart speakers are redefining the rules of marketing Humans and machines are working together to reach new levels of productivity This collection of articles includes "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Stitch Fix's CEO on Selling Personal Style to the Mass Market," by Katrina Lake; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Marketing in the Age of Alexa," by Niraj Dawar; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Drones Go to Work," by Chris Anderson; "The Truth About Blockchain," by Marco Iansiti and Karim R. Lakhani; "The 3-D Printing Playbook," by Richard A. D’Aveni; "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty; "When Your Boss Wears Metal Pants," by Walter Frick; and "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani.Trade Review"a timely, relevant compendium of HBR articles. The authors' insights…have value for CIOs and business people trying to use analytics in the running their businesses." -- CIO Magazine

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Book SynopsisDawn Cappelli, CISSP, is Technical Manager of the CERT Insider Threat Center and the Enterprise Threat and Vulnerability Management Team at Carnegie Mellon University's Software Engineering Institute (SEI). She has spent the past decade working with organizations such as the U.S. Secret Service and Department of Homeland Security in protecting the United States against insider threats. Andrew Moore is Lead Researcher in the CERT Insider Threat Center and Senior Member of Technical Staff at SEI. Randall Trzeciak is a Senior Member of Technical Staff at SEI, and Technical Team Lead for the Insider Threat Research Group at the CERT Insider Threat Center.Trade Review"For years, researchers at the CERT Insider Threat Center at Carnegie Mellon's Software Engineering Institute have been collecting and studying data on real-world insider incidents. This year, they published a book cataloging the results of their research, called The CERT Guide to Insider Threats. This book is an invaluable guide to establishing effective processes for managing the risk of insider attacks, and it should be on every security professional's wish list this year. In general, the insider threat drives home the point that perimeter defenses are no longer enough. IT organizations also need to be able to see into their internal networks to identify suspicious activity." -- Tom Cross, Director of Security Research at Lancope, guest writing for Forbes CIO CentralTable of ContentsPreface xvii Acknowledgments xxxi Chapter 1: Overview 1 True Stories of Insider Attacks 3 The Expanding Complexity of Insider Threats 6 Breakdown of Cases in the Insider Threat Database 7 CERT’s MERIT Models of Insider Threats 9 Overview of the CERT Insider Threat Center 13 Timeline of the CERT Program’s Insider Threat Work. 16 Caveats about Our Work 20 Summary 20 Chapter 2: Insider IT Sabotage 23 General Patterns in Insider IT Sabotage Crimes 28 Mitigation Strategies 46 Summary 59 Chapter 3: Insider Theft of Intellectual Property 61 Impacts 66 General Patterns in Insider Theft of Intellectual Property Crimes 68 The Entitled Independent 69 The Ambitious Leader 78 Theft of IP inside the United States Involving Foreign Governments or Organizations 83 Mitigation Strategies for All Theft of Intellectual Property Cases 88 Mitigation Strategies: Final Thoughts 97 Summary 98 Chapter 4: Insider Fraud 101 General Patterns in Insider Fraud Crimes 106 Insider Fraud Involving Organized Crime 115 Organizational Issues of Concern and Potential Countermeasures 120 Mitigation Strategies: Final Thoughts 126 Summary 127 Chapter 5: Insider Threat Issues in the Software Development Life Cycle 129 Requirements and System Design Oversights 131 System Implementation, Deployment, and Maintenance Issues 136 Programming Techniques Used As an Insider Attack Tool 139 Mitigation Strategies 142 Summary 143 Chapter 6: Best Practices for the Prevention and Detection of Insider Threats 145 Summary of Practices 146 Practice 1: Consider Threats from Insiders and Business Partners in Enterprise-Wide Risk Assessments 151 Practice 2: Clearly Document and Consistently Enforce Policies and Controls 155 Practice 3: Institute Periodic Security Awareness Training for All Employees 159 Practice 4: Monitor and Respond to Suspicious or Disruptive Behavior, Beginning with the Hiring Process 164 Practice 5: Anticipate and Manage Negative Workplace Issues 168 Practice 6: Track and Secure the Physical Environment 171 Practice 7: Implement Strict Password- and Account-Management Policies and Practices 174 Practice 8: Enforce Separation of Duties and Least Privilege 178 Practice 9: Consider Insider Threats in the Software Development Life Cycle 182 Practice 10: Use Extra Caution with System Administrators and Technical or Privileged Users 187 Practice 11: Implement System Change Controls 191 Practice 12: Log, Monitor, and Audit Employee Online Actions 195 Practice 13: Use Layered Defense against Remote Attacks 200 Practice 14: Deactivate Computer Access Following Termination 203 Practice 15: Implement Secure Backup and Recovery Processes 207 Practice 16: Develop an Insider Incident Response Plan 211 Summary 213 References/Sources of Best Practices 214 Chapter 7: Technical Insider Threat Controls 215 Infrastructure of the Lab 217 Demonstrational Videos 218 High-Priority Mitigation Strategies 219 Control 1: Use of Snort to Detect Exfiltration of Credentials Using IRC 220 Control 2: Use of SiLK to Detect Exfiltration of Data Using VPN 221 Control 3: Use of a SIEM Signature to Detect Potential Precursors to Insider IT Sabotage 223 Control 4: Use of Centralized Logging to Detect Data Exfiltration during an Insider’s Last Days of Employment 231 Insider Threat Exercises 239 Summary 239 Chapter 8: Case Examples 241 Sabotage Cases 241 Sabotage/Fraud Cases 256 Theft of IP Cases 258 Fraud Cases 262 Miscellaneous Cases 269 Summary 273 Chapter 9: Conclusion and Miscellaneous Issues 275 Insider Threat from Trusted Business Partners 275 Malicious Insiders with Ties to the Internet Underground 286 Final Summary 293 Appendix A: Insider Threat Center Products and Services 299 Appendix B: Deeper Dive into the Data 307 Appendix C: CyberSecurity Watch Survey 319 Appendix D: Insider Threat Database Structure 325 Appendix E: Insider Threat Training Simulation: MERIT InterActive 333 Appendix F: System Dynamics Background 345 Glossary of Terms 351 References 359 About the Authors 365 Index 369

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Book SynopsisCreate and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: Where do I start? and What tools are available? Predictive Analytics for Human Resources is designed to answer these and other vital questions.Table of ContentsForeword xiii Preface xv Chapter 1 Where’s the Value? 1 Some Basics 1 What Is Analytics? 2 Two Values 4 Analytic Capabilities 4 Analytic Value Chain 6 Analytic Model 8 Typical Application 14 Training Value Measurement Model 15 Inside the Data 16 Notes 19 Chapter 2 Getting Started 21 Go-to-Market Models 22 Assessment 23 Developmental Experiences 23 Financial Connections 24 Sample Case 26 Focusing on the Purpose 26 Present-Day Needs 28 How Human Capital Analytics Is Being Used 29 Turning Data into Information 30 Three Value Paths 30 Solving a Problem 31 Essential Step 31 Prime Question 32 Case in Point 32 Preparing for an Analytics Unit 33 Ten Steps for an Analytics Unit 35 Structure and Team Building 36 Developing an Analytics Culture 37 Notes 37 Chapter 3 What You Will Need 39 Dealing with the C Level 40 Breaking Through 41 Research 41 Recruiting a Sponsor or Champion 42 Making the Sale 43 Selling Example 44 Working with Consultants and Coaches 46 Designing and Delivering Reports 48 Making an Impact 50 Process Management 50 Preparation 52 Notes 54 Chapter 4 Data Issues 55 Efficiency Measures 56 Effectiveness Measures 61 Business Outcome Measures 67 Note 69 Chapter 5 Predictive Statistics Examples 71 Begin with the End in Mind 71 Go Back to the Beginning 74 Who Owns Data, and Will They Share It? 75 What Will You Do with the Data? 77 What Form Is the Data In? 79 Is the Data Quality Sufficient? 80 Note 82 Chapter 6 Predictive Analytics in Action 83 First Step: Determine the Key Performance Indicators 83 Second Step: Analyze and Report the Data 89 Relationships, Optimization, and Predictive Analytics 96 Predictive Analytics 97 Interpreting the Results 102 Predicting the Future 111 Structural Equation Modeling 113 Notes 114 Chapter 7 Predicting the Future of Human Capital Analytics 115 What Does the Future Look Like? 116 Bringing It All Together 126 Predictive Analytics for HR in Action 126 Notes 128 Epilogue 129 Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes 133 About the Authors 135 Index 137

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Book SynopsisWritten in an accessible and practical style, Doing More With Less 2nd edition addresses the efficiency drive using models, tools, and ideas more commonly found in the corporate world. This fully updated edition also includes case studies from Audit Scotland, Belfast City Council, FBI, NHS, Ministry of Works (Bahrain), and many more.Trade Review'An intriguing book...Someone should give George Osborne a copy.' - Allister Heath, City A.M "This book is a great piece of work which is right for our times. It is an excellent guide for everyone involved in strategy development and delivery in the new era of financial constraints." -Robert W. Black, First Auditor General For Scotland (2000-2012) "This is an excellent reference for those in the public sector who are responsible for good performance management. As a consumer of public sector services, I will be the ultimate beneficiary of this work." -Dr David P. Norton, Co-Developer of the Balanced Scorecard; Director, Palladium Group "A highly engaging and relevant book! Marr and Creelman are genius at making managing, reporting, and reviewing performance culture-focused, relevant, and fun in these changing times." -Michelle McCusker, Head of Business Performance, NHS NW Collaborative Commercial Agency "This book not only explains what good performance management can do for you, it makes it achievable. At a time when every public sector organization is striving to be as efficient and as effective as possible, the principles within this book make it possible to adapt and to demonstrate value in even the most challenging times." -Patricia Stead, Director, Planning and Performance, Arts Council England "A 'must' for anyone trying to maintain and enhance their performance in very challenging times. This approach helps to clarify thinking, truly identify priorities, and align resources in a way that the whole organization can understand." -Gillian Porter, Head of Performance and Analysis, Durham ConstabularyTable of ContentsIntroduction 1. Both Efficient And Effective, The New Public Sector Performance Agenda 2. Balanced Scorecards, The Journey From Measurement To Strategic Performance Management 3. Using Lean Thinking To Improve Strategic Performance 4. Designing Strategy Maps To Agree Strategic Priorities 5. Agreeing High Level Strategic Outcome Targets And Key Performance Indicators 6. Selecting Strategic Initiatives: 7. Aligning Financial Management With Strategic Goals 8. Keeping Your Eyes On The Ball: Reporting And Reviewing Performance 9. Building A Culture Focused On Strategic Performance Management Conclusion And Key Strategic Performance Questions

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Book SynopsisThis textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-disciplinary approach. The presentation is illustrated using the BPMN industry standard defined by the Object Management Group and widely endorsed by practitioners and vendors worldwide.In addition to explaining the relevant conceptual background, the book provides dozens of examples, more than 230 exercises – many with solutions – and numerous suggestions for further reading. This second edition includes extended and completely revised chapters on process identification, process discovery, qualitative process analysis, process redesign, process automation and process monitoring. A new chapter on BPM as an enterprise capability has been added, which expands the scope of the book to encompass topics such as the strategic alignment and governance of BPM initiatives.The textbook is the result of many years of combined teaching experience of the authors, both at the undergraduate and graduate levels as well as in the context of professional training. Students and professionals from both business management and computer science will benefit from the step-by-step style of the textbook and its focus on fundamental concepts and proven methods. Lecturers will appreciate the class-tested format and the additional teaching material available on the accompanying website.Table of Contents1 Introduction to Business Process Management.- 2 Process Identification.- 3 Essential Process Modeling.- 4 Advanced Process Modeling.- 5 Process Discovery.- 6 Qualitative Process Analysis.- 7 Quantitative Process Analysis.- 8 Process Redesign.- 9 Process-Aware Information Systems.- 10 Process Implementation with Executable Models.- 11 Process Monitoring.- 12 BPM as an Enterprise Capability.

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Book SynopsisCreate stunning and complex visualizations using the amazing Charticulator custom visuals in Power BI.Charticulator offers users immense power to generate visuals and graphics. To a beginner, there are myriad settings and options that can be combined in what feels like an unlimited number of combinations, giving it the unfair label, the DAX of the charting world. This is not true. This book is your start-to-finish guide to using Charticulator, a custom visualization software that Microsoft integrated into Power BI Desktop so that Power BI users can create incredibly powerful, customized charts and graphs. You will learn the concepts that underpin the software, journeying through every building block of chart design, enabling you to combine these parts to create spectacular visuals that represent the story of your data. Unlike other custom Power BI visuals, Charticulator runs in a separate application window within Power BI with its own interface and requires a different set of intTable of ContentsChapter 1 – Introduction to Charticulator Chapter 2 – Marks, Symbols & Lines Chapter 3 – Binding Data Chapter 4 – Using Symbols Chapter 5 – 2D Region Plot Segments Chapter 6 – Using Two Categorical AxesChapter 7 – Using Numerical Axes Chapter 8 – Charticulator ExpressionsChapter 9 – Scales & LegendsChapter 10 – Guides & Anchoring Chapter 11 – Working with Multiple 2D Region Plot Segments Chapter 12 – Horizontal & Vertical Line Scaffolds Chapter 13 – Polar ScaffoldsChapter 14 – Plotting Multiple MeasuresChapter 15 – Links & Data LinkingChapter 16 – The Line Plot Segment Chapter 17 – Templates & Nested Charts Chapter 18 – Integrating with Power BI Chapter 19 – Taking it to the Next Level

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Book SynopsisEvery business area relies on an understanding of statistics to succeed. Statistics for Business and Economics by Carlos Cortinhas and Ken Black shows students that the proper application of statistics in the business world goes hand-in-hand with good decision making. Every statistical tool presented in this book has a business application set in a global context and the many learning features and easy to use structure will engage and reassure each business statistic student.Table of ContentsUnit I Introduction 1 Introduction to Statistics 3 2 Charts and Graphs 19 3 Descriptive Statistics 51 4 Probability 102 Unit II Distributions and Sampling 5 Discrete Distributions 149 6 Continuous Distributions 194 7 Sampling and Sampling Distributions 234 Unit III Making Inferences About Population Parameters 8 Statistical Inference: Estimation for Single Populations 271 9 Statistical Inference: Hypothesis Testing for Single Populations 310 10 Statistical Inferences About Two Populations 363 11 Analysis of Variance and Design of Experiments 422 Unit IV Regression Analysis and Forecasting 12 Simple Regression Analysis and Correlation 487 13 Multiple Regression Analysis 545 14 Building Multiple Regression Models 578 15 Time-Series Forecasting and Index Numbers 625 Unit V Categorical Data and Non-parametric Statistics 16 Analysis of Categorical Data 685 17 Non-parametric Statistics 713 Appendices A Tables 765 B Answers to Selected Odd-Numbered Quantitative Problems 807 Glossary 819 Index 829 Website Materials 18 Statistical Quality Control 19 Decision Analysis

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Book SynopsisLes Oakshott is a former Associate Fellow of Warwick Business School, UK. He has worked in industry and education and has wide experience of applying teaching quantitative methods in a business context.Trade ReviewAn excellent introduction to quantitative methods, written in an accessible and comprehensive way to support students' fast and efficient learning ... an absolute essential. * Ioannis Kyriakou, Cass Business School, City University of London, UK *With plenty of applications to real-life business and reflections on methodology, as well as vivid illustrations, this is an excellent introductory textbook to inspire and motivate students. * Mofei Jia, Xi'an Jiaotong-Liverpool University, China *A compact yet thorough introduction to the quantitative methods relevant to different areas of business ... Completely up to date, the book reflects the latest trends, issues and practices. * Sascha Mölls, University of Marburg, Germany *Provides a no-nonsense way of learning the quantitative techniques necessary for both students and practitioners ... an invaluable resource * Simeon Coleman, Loughborough University, UK *Table of Contents-PART I: MATHEMATICAL APPLICATIONS 1. Revision Mathematics 2. Keeping up with Change: Index Numbers PART II: COLLECTING AND INTERPRETING DATA. 3. Collecting Data: Surveys and Samples. 4. Finding Patterns in Data: Charts and Tables 5. Making Sense of Data: Averages and Measures of Spread PART III: PROBABILITY& STATISTICS. 6. Taking a Chance: Probability 7. The Shape of Data: Probability Distributions 8. Interpreting with Confidence: Analysis of Sample Data 9. Checking Ideas: Testing a Hypothesis. 10. Cause and Effect: Correlation and Regression PART IV: DECISION MAKING TECHNIQUES 11. How to make Good Decisions 12. Choosing wisely: Investment Appraisal 13. Forecasting: Time Series Analysis 14. Making the Most of Things: Linear Programming 15. Planning Large Projects: Network Analysis.

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Book SynopsisFull of valuable tips, techniques, illustrative real-world examples, exhibits, and best practices, this handy and concise paperback will help you stay up to date on the newest thinking, strategies, developments, and technologies in licensing intellectual property. Order your copy today!.Trade Review"...well laid out, with goals set out in each chapter." (Management Today, July 2007) Table of ContentsForeword. Preface. 1. Introduction. 2. Basic Contract Law. 3. Intellectual Property Primer. 4. Licensing Strategies: The Carrot and the Stick. 5. Patent Licenses. 6. Know-how and Trade Secret Licenses. 7. Trademark Licenses. 8. Copyright Licenses. 9. Royalties and Royalty Rates. 10. Policing and Enforcement of Licenses. 11. Negotiating the Deal. Appendices. A. Checklist of Patent License Terms. B. Royalty Rates by Industry. C. Confidentiality and Nondisclosure Agreement. D. Trademark License Agreement. E. Patent License Agreement (Paid-Up). F. Patent License Agreement (Running Royalty). G. Software (End User) License Agreement. H. Copyright License Agreement. I. Technology License Agreement. J. Georgia-Pacific Factors. K. Agreement to Negotiate a License. Epilogue. Further Reading. Index.

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Book SynopsisNavigating Global Business integrates and synthesizes all available country cluster studies into a nested meta-structure accompanied by eco-cultural correlates that distinguish amongst clusters. The broad range of analyses will appeal to researchers and practitioners, seasoned multi-firm executives, those in small firms seeking internationalization, and anyone intrigued by the greater question of human diversity. The book covers key work-related cultural dimensions for much of the world, and includes examples of applications in most business areas. Also exhibited are the correlates of culture, some of which, such as language and religion, speak to the origin of cultural variations in addition to illustrating key variants of the global terrain. Finally, the authors examine how patterns might have changed over time, providing a rigorous and realistic assessment of the fruits of globalization.Trade Review'To advance beyond the global/local moniker, read this book: it will tell you how and why.' Ed Lawler, Marshall School of Business, University of Southern California'In a global environment, you cannot afford to fly blind. This book, an essential read for the global executive, lays out the cultural landscape on which international business rests and guides you on how to navigate this terrain.' Leslie H. Wexner, Chairman and CEO, L Brands'Navigating Global Business: A Cultural Compass reflects more than thirty years of rigorous analysis of published data on cultural similarities and differences, enriched by information from sixty different organizational and managerial dimensions. This is the definitive, go-to sourcebook for any scholar or manager who seeks a deeper understanding of the managerial consequences of culture at macro as well as micro levels.' Wayne F. Cascio, Robert H. Reynolds Chair in Global Leadership and Academic Chair, CU Executive MBA Program, The Business School, University of Colorado, Denver'At an epic crossroads, academia needs to jump orbits into greater managerial relevance. Ronen and Shankar's work has the escape velocity to do it.' Russ Klein, CEO of American Marketing Association'This book is much more than the title implies. It is indispensable for global business and those interested in the interrelatedness and conflict among countries. It is monumental in scope because it is a synthesis of the most compelling empirical, large scale studies of culture, leadership, and organizational behavior. It is both exciting and arduous, explaining the pervasive influence of culture on business and work values.' Peter W. Dorfman, Professor Emeritus, New Mexico State University, former President of the Board, GLOBE Foundation for Research and Education'A superbly crafted, organized and presented work of sterling scholarship, Navigating Global Business: A Cultural Compass is unreservedly recommended as a core addition to corporate, community and academic library Business Management instructional reference collections and supplemental studies reading lists.' Library BookwatchTable of Contents1. Delineating culture; 2. Generating the clustering map; 3. Eco-cultural and economic correlates; 4. Attitudinal and behavioral dimensions; 5. A cluster by cluster review.

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Book SynopsisLouise Swift taught Quantitative Methods to students of business, management and finance for over ten years at the University of East Anglia, UK, where she now works as a statistician.Sally Piff is the Quantitative Methods tutor in the School of Management, University of East Anglia, UK.Trade ReviewProvides a clear and very accessible introduction to modern quantitative methods. Beautifully produced and superbly resourced, it will appeal to business students of every mathematical persuasion. * Dr James Freeman, Manchester Business School, UK *Written in an accessible manner with plenty of examples for practice, Swift and Piff is particularly suited to a first year course in quantitative methods in business/management where the maths/statistics ability of students is mixed. * Dr Maxwell Chipulu, Southampton Management School, UK *A highly recommended book that clearly explains the essential quantitative methods used in business and finance. The abundance of examples, exercises and work cards will help students build confidence through practice. * Lieven De Moor, Vrije Universiteit Brussel, Belgium *Table of ContentsPART I: ESSENTIAL MATHS 1. Numbers and Symbols 2. Simplifying Expressions 3. Solving Problems 4. Modelling Using Straight Lines PART II: MORE MATHS 5. Some Special Equations 6. Modelling Using Curves 7. Rates of Change PART III: DESCRIBING DATA 8. Pictures of Data 9. Summarising Data PART IV: PROBABILITY 10. Measuring Uncertainty 11. Numerical Outcomes 12. Continuous Numerical Outcomes 13. Some More Probability Distributions PART V: STATISTICS 14. Estimation 15. Testing Hypotheses 16. Correlation and Regression 17. Comparing Two Populations 18. Nonparametric methods 19. Categorical Data 20. Forecasting 21. Statistics in Practice PART VI: BUSINESS MODELLING 22. Linear Programming Models 23. Planning Projects 24. Models for Inventory Control 25. Time and Money 26. Decision Making 27. Simulating Reality 28. Controlling Quality PART VII: STATISTICAL TABLES 29. Cumulative Binomial Probabilities 30. Cumulative Standard Normal Probabilities 31. Percentage Points of the Standard Normal Distribution 32. Random Digits 33. Percentage Points of the t Distribution 34. Percentage Points of the x2 Distribution.

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Book SynopsisIn Profit From Science , author George Danner presents solutions to the big problems that modern business face solutions that are grounded in logic and empiricism. This book instructs business leaders in how to add the discipline and technical precision of the scientific method to their strategic planning and decision making.Trade Review'This book presents a step change in the art and science of solving complex business challenges, however the implications of George's work on corporate strategy and decision making are nothing short of transformational. Everyone shaping a company should have these tools.' Wayne Wisniewski, President and COO, Eagle Hydrocarbons "George Danner's book goes to the heart of better decision making and shows us how to achieve it. Borrow the best from scientific processes- develop hypotheses, analyse data, use best modelling techniques, test the evidence under various scenarios, be objective and transparent , be prepared to experiment and problem solving improves. It sounds simple and yet so many businesses lack the internal processes and disciplines to achieve this. " Professor Vicky Pryce, Former Joint Head of the UK Government's Economic ServiceTable of Contents1. Why Are We Here? 2. Starting With A Process In Mind 3. Methods And Madness 4. Tools Of The Trade 5. The Art Of Science: Visualization 6. Data (Big And Small) 7. Using Your New Superpower 8. Setting The Stage: The Making Of A Great Analytics Team 9. Implications For The Future 10. In Conclusion

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Book SynopsisBody and Soul presents a unique and emotionally intelligent approach to building a sustainable boudoir photography business. The higher-level strategies within these pages will enable photographers to move beyond the task of simply making pretty pictures to greater goals, such as understanding the emotional journey of the boudoir process, building meaningful, long-term relationships with clients, and creating a referral engine to sustain your business. Susan Eckert combines her professional experience as an internationally published photographer with her advanced degree in Psychology to deconstruct the boudoir experience. Each chapter is complemented by interviews with her clients, and illustrates how photographers can partner with their clients throughout the boudoir process in the development of meaningful work. Highlights of this book include: Self-assessment questionnaires to help you develop your brand and identify your market BesTable of ContentsIntroduction Part I: Working from the Inside Out: Your Transformation into a Professional Boudoir Photographer Chapter One: Looking Within: The Importance of Self-Assessment Chapter Two: Values, Ideas, Morals Chapter Three: Taking Inventory Chapter Four: Looking Outward Chapter Five: Putting It All Together Part II: Engaging Your Client Body & Soul Throughout the Boudoir Process Chapter Six: Grabbing the Reins from First Contact Chapter Seven: Now That You’ve Earned Her Business Chapter Eight: The Sensitive Stuff Chapter Nine: The Shoot: The Beginning of Her Transformation Chapter Ten: The Shoot: Preparing to Address Your Client’s Emotional Needs During the Shoot Chapter Eleven: Evolution of a Shoot Chapter Twelve: The Shoot: The Final Phase Chapter Thirteen: The Wrap: Celebrate Her Accomplishment Chapter Fourteen: Marrying the Emotional with the Technical Part III: After the Shoot: Opening the Door to a Long-Term Relationship Chapter Fifteen: Preparing for the Review and Selection Session Chapter Sixteen: Showtime! Chapter Seventeen: Keep Her in the Loop Chapter Eighteen: The Importance of Maintaining the Connection Even After All is Said and Done Chapter Nineteen: Concluding Thoughts Part IV: Resources for the Boudoir Photographer Chapter Twenty: Interview with a Clinical Psychologist and Specialist on Body Image Chapter Twenty-One: Additional Client Interviews Appendices

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Book SynopsisThis module is not sponsored by IBM and must be installed separately from the Db2 database.After reading Foundation Db2 and Python you'll be able to install Db2 on Windows or Linux, and perform backups and restore data.Table of ContentsChapter 1: Introduction Chapter Goal: An introduction to Db2 for Linux and Windows.No. of Pages: 10Sub-Topics:Glossary of termsIntroduction to the Db2Obtaining the install files for Db2What you need as far as your hardware and OS for your Db2 machineHow to organize your file system to support Db2 data basesChapter 2: Installing Db2Chapter Goal: Describes how to install Db2 on Linux and WindowsNo. of Pages: 50Sub-Topics:Preparing your server for Db2Installing Db2 on LinuxInstalling Db2 on WindowsInstalling the ibm_db moduleTest the connection between Python/ibm_db and Db2Chapter 3: Db2 ManagementChapter Goal: Create Python scripts to access Db2No. of Pages: 40Sub-Topics:Layout of the typical Python script to access Db2The ibm_db moduleThe order of processing in almost all Python scripts accessing Db2Using exceptions in your Python scriptsChapter 4: Installing the Db2 sample database and a custom databaseChapter Goal: Learn how to design and create your own databasesNo. of Pages: 35Sub-Topics:Install the Db2 sample databaseWrite some simple Python scripts to access the sample data baseDesign and install the Orbital Launch data baseWrite some simple Python scripts to assess the Orbital Launch data baseChapter 5: Creating Utility Modules for Accessing Db2Chapter Goal: Creating modules that access ibm_dbNo. of Pages: 40Sub-Topics:Create you first utility moduleUse functions or classes in your module, or both?Organizing your module(s)Accessing your moduleChapter 6: Documenting the ibm_db ModuleChapter Goal: Documenting the ibm_db Module APINo. of Pages: 40Sub-Topics:Document each API in the ibm_db moduleDocument all input and outputs to each APIProvide multiple examples for each APIChapter 7: Writing Good SQL for Db2 (this might cover multiple chapters)Chapter Goal: Creating optimized SQL for Db2No. of Pages: 60Sub-Topics:Minimize the passes through the dataCode for concurrencyLocking and isolation levelsHow to avoid writing codeThe importance of indexesOptimizationSequential vs. random data accessTypes of joinsChapter 8: Where is the ibm_db Module GoingChapter Goal: Explain why IBM does not directly support the ibm_db module No. of Pages: 25Sub-Topics:Why ibm_db is open source?How does ibm_db use underlying systems?Why is this module not included with Db2?Some future items to be added to ibm_db moduleChapter 9: Db2 provided utilitiesChapter Goal: Describe some of the utilities that come with Db2 and possibly some extra cost utilitiesNo. of Pages: 50Subtopics:What utilities are covered has yet to be identifiedChapter 10: BLOB data, what is it and how do you use itChapter Goals: Describe what a blob is and how to use oneNo. of Pages: 50Subtopics:Describe the different kinds of BLOBsAccessing BLOB data in PythonWhat kinds of data can be stored in a BLOBUtilizing BLOBs to store Python data, how to keep data and metadata together in Db2

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Book SynopsisChapter 1: What is a Virtual Private Server?.- Chapter 2: Selecting a VPS Provider.- Chapter 3: Basic Linux Administration via Command-Line.- Chapter 4: Basic Linux Administration via GUI (Webmin).- Chapter 5: Basics of Linux Security.- Chapter 6: Basics of Backups and Version Control.- Chapter 7: Basics of Server Software Administration.- Chapter 8: Installing an Open Source Software Product Wordpress.- Chapter 9: Administrators Weekly Checklist.- Chapter 10: Open Source Application Possibilities.Table of ContentsChapter 1: What is a Virtual Private Server?Chapter Goal: Go over basic terminology of how the internet operates, how servers run, and how virtualization allows individuals to have their own server for a very small cost per month.• How does the magic happen?o How does a webpage appear on my screen? How does email route through the internet to someone else? How do domain names work?• What options does someone have if they want to get into this?o Who provides services (data centers, co-locations, virtual servers, cloud computing)o How much does it cost?o How much do I have to do?o How much time does it take?• Am I ready for this?o Do I have the necessary skills and time to learn skills I need?o Am I OK with being my own system administrator?o Who do I call if I need help? Or can I call someone?Chapter 2: Selecting a VPS ProviderChapter Goal: Walk the reader through identifying and selecting a VPS provider.• How do I find a provider? o Low-end, High-end, Cloudo Trust and Reliability, what is an SLA?o Warning signs• Resources & Budgetingo What do I really need? o How much does it cost?o Extras that can cost money.• Setting up a New Accounto Security of your account.o Extras you may or may not need.o Terms of Serviceo Choosing your Linux distribution: CentOS or Debian (Throughout the book, commands for both CentOS 8 and Debian 10 will be provided).Chapter 3: Basic Linux Administration via Command-LineChapter Goal: Providing the basic commands to administer your server, finding files, and adding and configuring software.• Logging into your servero Shell accesso SSHo SFTPo Setting up your user account• Basic commandso Linux Directory Structureo Ls, cp, mv, and the most dangerous: rmo Finding fileso Su / sudo and file permissions.o Disk usage, memory usage, and overall server health commands.o How do I edit files: Vim and Nano• How your System Starts up and Shuts Downo Services, what they are and how to enable/disableo The right and wrong way to shutdown, and why it’s important.o Graphical user modes versus command-line.o Files that you might want to keep copies of.• How do I install software? o Package managers (apt / yum)o Compiling from Sourceo Updating / upgrading / removing softwareo Configuring software through configuration files.Chapter 4: Basic Linux Administration via GUI (Webmin)Chapter Goal: To provide a basic overview of the Open Source project “Webmin” for configuration of your server though a graphical interface.• Deciding if a GUI is needed or not. Pros and Cons• Downloading and installing Webmin• Setting up Webmin security, including SSL and 2 Factor authentication.• Delegating tasks to others using Webmin Users.• Basic walkthrough of the modules that you’ll need to access, with an eye on settings you don’t want to change.• Webmin’s Usermin module: GUI for users to access files, mail, databases, and more. Chapter 5: Basics of Linux SecurityChapter Goal: The basics of setting up security on your server, with a discussion of auditing and verifying files haven’t changed.• What is a firewall and how do I set it up?• How do I give some users access to administrative functions, but not all?• Advanced File Permissions, and more on users and groups.• SELinux• Auditing and log file management.Chapter 6: Basics of Backups and Version ControlChapter Goal: How to keep your files backed up and safe.• Backup Basics: What to back up, where to back it up, and how often to back up.• Backup Method 1: Gzipped Tar files and shell scripts.• Backup Method 2: Duplicati GUI• Simulated disaster recovery, and migration to a new server.Chapter 7: Basics of Server Software AdministrationChapter Goal: How to get the most common software up and running on your VPS, customizing it to be secure and reliable.• Web Server Basics (Apache 2)o Extending the Server with PHPo SSL certificates.• Database Server Basics (MySQL)• Mail Server Basics (Postfix)• DNS Server Basics (Bind)• Monitoring your Server (Nagios)Chapter 8: Installing an Open Source Software Product – WordpressChapter Goal: How to get a basic website up and running quickly using an open source content management system, Wordpress.• Do you need a full CMS or are your needs more basic?• Downloading and installing Wordpress• Configuring Wordpress to be secure.• Backing up Wordpress• Extending Wordpress with Plugins.Chapter 9: Administrators Weekly ChecklistChapter Goal: Describe concept of preventive maintenance – what one needs to do regularly to keep the server running smoothly. • Software update basics• Following mailing lists and security discussions.• Monitoring for potential security breaches.• Verifying backups.Chapter 10: Open Source Application PossibilitiesChapter Goal: Introduce the reader to software packages that will allow them to up their productivity by hosting their own content on their server. Basic installations will be covered, but not in-depth customization as was done in Chapter 8.• Moodle: Open Source Learning Management System• osTicket: Open Source Helpdesk / Issue Tracking.• YoURLS: Open Source URL Shortener• OpenVPN: Open Source VPN software• Odoo: Open Source CRM Software• LimeSurvey: Open Source Survey Software (Covered in my previous book, Practical R 4 – but less in-depth here)• Other possibilities, including writing

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Book SynopsisLearn Tableau by working through concrete examples and issues that you are likely to face in your day-to-day work. Author Shankar Arul starts by teaching you the fundamentals of data analytics before moving on to the core concepts of Tableau. You will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations. As the book progresses, you'll be walked through comparisons and trend calculations using tables. A concluding chapter on dashboarding will show you how to build actionable dashboards to communicate analysis and visualizations. You'll also see how Tableau can complement and communicate with Excel. After completing this book, you will be ready to tackle the challenges of data analytics using Tableau without getting bogged down by the technicalities of the tool. What Will You Learn Master the core concepts of Tableau Automate Table of ContentsChapter 1: IntroductionChapter Goal: The need for data visualization tools such as Tableau for business users No of pages 4 Sub -Topics 1. Why visualize data 2. Who is this book for 3. How is this book different Chapter 2: Installation and Setup Chapter Goal: Onboard readers with the setup of tableau. No of pages: 3 Sub - Topics 1. Installation of tableau 2. Data sources required for the exercises Chapter 3: Fundamentals of Data Chapter Goal: Gentle introduction to the fundamentals of data No of pages : 6 Sub - Topics: 1. Data types 2. Data sources 3. Data preparation 4. Converting business questions to the language of data Chapter 4: The Crux of Tableau Chapter Goal: Distillation of the core concepts of Tableau No of pages: 17 Sub - Topics: 1. 4 Building pillars 2. Putting it all together 3. Show me 3. Sheets & Dashboards Chapter 5: Calculations Chapter Goal: Enrich the data by creating calculated fields No of pages: 16 Sub - Topics: 1. Grouping Values 2. Calculated Fields 3. Row level, Aggreation & Dis-Aggregation 4. Bringin more data 5. Importance of Cardinality 6. Data Modeling Chapter 6: Tables & Table Calculations Chapter Goal: Comparisons and trend calculations through tables No of pages: 15 Sub - Topics: 1. Show me or start from scratch ? 2. Table totals 3. Table calculations 4. Sorting Chapter 7: Advanced Tips Chapter Goal: Advanced functionalities of Tableau No of pages: 15 Sub - Topics: 1. Dynamic Inputs - Parameters 2. Top 10/20/50 filters 3. Dual Axis 4. Shapes & Icons 5. Level of detail calculations 6. Reference lines & forecast 7. Order of operations Chapter 8: Dashboards Chapter Goal: Bring it all together by enabling users to build interactive dashboards No of pages: 9 Sub - Topics: 1. Less I more 2. Dashboards: A view from 10000ft 3. Fit & Layout 4. Filters & Interaction

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Book SynopsisLearn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code. You'll start by learning how to use tensors to develop and fine-tune neural network models and implement deep learning models such as LSTMs, and RNNs. Next, you'll explore probability distribution concepts using PyTorch, as well as supervised and unsupervised algorithms with PyTorch. This is followed by a deep dive on building models with convolutional neural networks, deep neural networks, and recurrent neural networks using PyTorch. This new edition covers also topics such as Scorch, a compatible module equivalent to the Scikit machine learning library, model quantization to reduce parameter size, and preparing a model for deployment within a production system. Distributed parallel processing for balaTrade Review“The book covers all important facets of neural network implementation and modeling, and could definitely be useful to students and developers keen for an in-depth look at how to build models using PyTorch, or how to engineer particular neural network features using this platform.” (Mariana Damova, Computing Reviews, July 24, 2023)Table of ContentsChapter 1: Introduction to PyTorch, Tensors, and Tensor OperationsChapter Goal: This chapter is to understand what is PyTorch and its basic building blocks.Chapter 2: Probability Distributions Using PyTorchChapter Goal: This chapter aims at covering different distributions compatible with PyTorch for data analysis. Chapter 3: Neural Networks Using PyTorchChapter Goal: This chapter explains the use of PyTorch to develop a neural network model and optimize the model.Chapter 4: Deep Learning (CNN and RNN) Using PyTorchChapter Goal: This chapter explains the use of PyTorch to train deep neural networks for complex datasets.Chapter 5: Language Modeling Using PyTorchChapter Goal: In this chapter, we are going to use torch text for natural language processing, pre-processing, and feature engineering. Chapter 6: Supervised Learning Using PyTorchGoal: This chapter explains how supervised learning algorithms implementation with PyTorch. Chapter 7: Fine Tuning Deep Learning Models using PyTorchGoal: This chapter explains how to Fine Tuning Deep Learning Models using the PyTorch framework.Chapter 8: Distributed PyTorch ModelingChapter Goal: This chapter explains the use of parallel processing using the PyTorch framework.Chapter 9: Model Optimization Using Quantization MethodsChapter Goal: This chapter explains the use of quantization methods to optimize the PyTorch models and hyperparameter tuning with ray tune. Chapter 10: Deploying PyTorch Models in ProductionChapter Goal: In this chapter we are going to use torch serve, to deploy the PyTorch models into production. Chapter 11: PyTorch for AudioChapter Goal: In this chapter torch audio will be used for audio resampling, data augmentation, features extractions, model training, and pipeline development. Chapter 12: PyTorch for ImageChapter Goal: This chapter aims at using Torchvision for image transformations, pre-processing, feature engineering, and model training. Chapter 13: Model Explainability using CaptumChapter Goal: In this chapter, we are going to use the captum library for model interpretability to explain the model as if you are explaining the model to a 5-year-old. Chapter 14: Scikit Learn Model compatibility using SkorchChapter Goal: In this chapter, we are going to use skorch which is a high-level library for PyTorch that provides full sci-kit learn compatibility.

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Book SynopsisExplore the serverless world using Amazon Web Services (AWS) and develop various architectures, including those for event-driven and disaster recovery designs. This book will give you an understanding of different distributed serverless architectures and how to build them using AWS components. You will begin with an introduction to serverless components and architectures, before progressing to data platforms and containers. Next, you''ll dig deeper into these serverless architectures and how they leverage AWS components through practical use cases. You will also explore designing systems in a multi-cloud paradigm. Author Jithin Jude Paul then demonstrates how efficient serverless architectures are, and the benefits of designing distributed systems globally in a cost-effective way while incorporating a microservices architectural style. Distributed Serverless Architectures with AWS concludes with a discussion of current and future trends in serverlTable of ContentsChapter 1: Introduction to Serveless ArchitecturesChapter Goal: Introduction to serverless components and architectureNo of pages 20Sub -Topics1. Serverless description2. Significance of serverless architectures3. Serverless vs containerized environments4. Main components of serverless architectureChapter 2: Distributed Serverless ArchitecturesChapter Goal: Overview of types of serverless architecturesNo of pages: 40Sub - Topics 1. Event driven architectures2. Disaster recovery architectures3. High availability architectures4. Global and cross region architectures5. Database and backend architectures6. Hybrid serverless architectureChapter 3: Event Driven ArchitecturesChapter Goal: In depth view of Event Driven ArchitecturesNo of pages : 30Sub - Topics: 1.General architecture and AWS components used 2.Explanation 3. Use cases where event driven architecture can be utilized4. Security and performance of this architecture5. QuickStart template (CloudFormation/ Terraform/ Serverless Framework)Chapter 4: Disaster Recovery ArchitecturesChapter Goal: Designing resilient architectures so that in the event of a disaster, the system keeps runningNo of pages: 40Sub - Topics: 1. General architecture and AWS components used 2. Explanation 3. Use cases where disaster recovery architecture can be implemented4. Active – active and active – passive configurations using this architecture5. Security and performance of this architecture6. QuickStart template(CloudFormation/ Terraform/ Serverless Framework)Chapter 5: High Availability ArchitecturesChapter Goal: Architect highly available systems using serverless Pages: 30 1. The general architecture and AWS components used 2. Explanation 3. Use cases where disaster recovery architecture can be implemented4. Active-active and active-passive configurations using this architecture5. Security and performance of this architecture6. QuickStart template(CloudFormation/ Terraform/ Serverless Framework)Chapter 6: Global and Cross Region ArchitecturesChapter Goal: Architect globally/ multi region systems using serverlessPages: 30 1. The general architecture and AWS components used 2. Explanation 3. Use cases where disaster recovery architecture can be implemented4. Active-active and active-passive configurations using this architecture5. Security and performance of this architecture6. QuickStart template(CloudFormation/ Terraform/ Serverless Framework)Chapter 7: Authentication, CICD and Databases in Serverless Chapter Goal: Describe authentication components, CICD Pipeline and databases for serverless architecturesPages: 40 1.Architecting authentication modules a) Overview and implementation of different Auth modulesb) Use cases of different Auth modules2. Using the correct database for serverless architecturesa) Stateful vs serverless databasesb) Implementation of serverless databases in AWS c) Use cases for various database available in AWS3. Designing CICD for serverless architecture4. QuickStart template(CloudFormation/ Terraform/ Serverless Framework)Chapter 7: Hybrid Serverless ArchitecturesChapter Goal: How serverless can co exist with traditional architectures with stateful componentsPages: 30 1. Need for hybrid architectures 2. Integrating serverless components into an existing environment3.Use cases of hybrid architectures4.Scaling of serverless and Non serverless components in a hybrid architecture5. Security and performance of this architecture6. QuickStart Template(CloudFormation/ Terraform/ Serverless Framework)Chapter 8: Microservices Architecture using ServerlessChapter Goal: How to utilize serverless environment to architect microservices architecturesPages: 20 1. Need for microservices based architecture 2. General pointers while architecting microservices using serverless components3.Use cases and advantages of this architecture4. QuickStart Template(CloudFormation/ Terraform/ Serverless Framework)Chapter 9: Looking through the Well Architected Framework lensChapter Goal: How well do serverless architectures fare when looking through AWS’ Well Architected Framework toolPages: 30 1. Serverless components used to achieve operational excellence pillar2. Serverless components used to achieve security pillar3. Serverless components used to achieve reliability pillar4. Serverless components used to achieve performance efficiency pillar5. Serverless components used to achieve cost optimization pillarChapter 10: Looking AheadChapter Goal: Discuss the latest and future trends in serverlessPages: 5-101. Latest and future trends in serverless

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Book SynopsisLearn how to make the right technical decisions to achieve your organization's business objectives. This book is a guide for software engineers who are responsible for making technical decisions that impact the business objectives of their organization.You'll start by reviewing business priorities, technical decision-making, and see how to overcome common challenges. Using real world case studies, this book offers a comprehensive overview of the skills and strategies required for senior engineers to effectively navigate complex technical and business challenges. You will also gain advice on building trust and credibility with business stakeholders and communicating technical challenges and opportunities to them. The Technical-Business Equilibriumreveals practical strategies for assessing technical feasibility and risk, selecting the best solutions to meet your company's goals, and communicating those decisions to business stakeholders. What You Will LearnUtilize techniques for evalTable of Contents1. Understanding Business Priorities.- 2. Technical Decision-Making.- 3. Balancing Technical and Business Priorities.- 4. The Role of Senior Engineers.- 5. Case Studies in Balancing Technical and Business Priorities.- 6. Best Practices for Balancing Technical and Business Priorities.- 7. Overcoming Challenges.- 8. Conclusion.

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Book SynopsisDiscover how SAP S/4HANA transforms your supply chain! Explore functionalities for sourcing and procurement, production execution, plant maintenance, sales order management, transportation management, warehouse management, and more.

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Book Synopsis

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Book Synopsis

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Book SynopsisThis novel textbook introduces Enterprise Internet of Things from technology, management and business perspectives, carefully examining enterprise environments through the lens of modernization with the Internet of Things (IoT). It also includes detailed case studies to offer meaningful insights for readers from various disciplines and areas. The book analyzes the ways in which the technology could contribute to the enterprise world in terms of revenue and new business models, and addresses the strategies and principles involved in developing IoT solutions with software engineering practices such as DevOps and Micro services architecture principles. By doing so, it offers readers a clear overview of the power of Internet of Things in building next generation enterprise use cases. The book enables readers to understand the latest opportunities to create new business models in enterprises using the unprecedented level of device connectivity, and the wealth of data generated and information exchange among these devices. As such, it appeals to various user groups, such as engineers trying to solve problems in their own domains using Enterprise IoT, academics interested in gaining a better understanding of applications of IoT in large-scale enterprises, and researchers wanting to contribute to the ever-growing and complex area of IoT.Table of Contents

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Book SynopsisRapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management’s awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI. Trade Review“Teaching and training ethics is already a difficult task. Adding AI to the ethics discussion further complicates decision making for managers, but this book provides clear examples and urgency for it to be done. For practitioners and researchers who seek to help with organizational development and implementation of AI and AI ethics, this book can be a valuable asset. The scholarly studies cited … provide a rich empirical landscape from which to build a foundation for other empirical studies on Tall system implementation.” (Claretha Hughes, Robonomics, The Journal of the Automated Economy, Vol. 4, May, 2023)Table of Contents1. Introduction.- 2. Artificial Intelligence.- 3. Ethics and Moral.- 4. Business and Management Perspective.- 5. Empirical Study.- 6. Findings.- 7. TAII Framework.

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Book Synopsis The explosive growth in volume and varieties of data generated by the seemingly endless arrays of digital systems and applications is rapidly elevating the importance of being able to utilize data; in fact, data analytic literacy is becoming as important now, at the onset of the Digital Era, as rudimentary literacy and numeracy were throughout the Industrial Era. And yet, what constitutes data analytic literacy is poorly understood. To some, data analytic literacy is the ability to use basic statistics, to others it is data science ‘light’, and to still others it is just general familiarity with common data analytic outcomes. Exploring the scope and the structure of rudimentary data analytic competencies is at the core of this book which takes the perspective that data analytics is a new and distinct domain of knowledge and practice. It offers application-minded framing of rudimentary data analytic competencies built around conceptually sound and practically meaningful processes and mechanics of systematically transforming messy and heterogeneous data into informative insights.　 Data Analytic Literacy is meant to offer an easy-to-follow overview of the critical elements of the reasoning behind basic data manipulation and analysis approaches and steps, coupled with the commonly used data analytic and data communication techniques and tools. It offers an all-inclusive guide to developing basic data analytic competencies.

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Book SynopsisThe IT organization in the change of the time.- The structure of IT organizations.- Leadership of IT organizations.

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