Companion website: https://sites.google.com/view/real-options
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense at the most practical level. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0.
It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals.* First book on the new generation of data warehouse architecture, DW 2.0.
* Written by the "father of the data warehouse", Bill Inmon, a columnist and newsletter editor of The Bill Inmon Channel on the Business Intelligence Network.
* Long overdue comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control.
What You Will LearnCreate and use common SharePoint resources like lists, libraries, sites, pages and web parts
Understand when and how workflows and information management policies can be used to automate process
Learn how to take advantage of records retention, management, and disposition
Make the most of SharePoint search services
Take advantage of social capabilities to create social solutions
Who This Book Is For
Whether you have not yet used SharePoint at all, have used previous versions, have just started using the basic features, or have been using it for a long of time, this book provides the skills you need to work efficiently with the capabilities SharePoint 2016 provides.
What You’ll LearnInstall SharePoint Server 2016, both using the user interface provided by Microsoft, and by using PowerShell
Understand your authentication options and associated security considerations
Deploy add-ins, either from the store, or from your own custom app catalog
Configure Search Service Application using either the provided UI or PowerShell
Configure business intelligence components such as Excel Services, SQL Server Reporting Services, and PowerPivot
Migrate to SharePoint Server 2016 from either SharePoint Server 2010 or 2013Understand approaches to high availability, disaster recovery, patching, and ways to monitor and maintain your SharePoint 2016 deployment once it’s up and running
Who This Book Is For
Anyone tasked with installing, configuring, and maintaining SharePoint Server 2016 in their organization. This book assumes some working knowledge of a previous release of SharePoint Server, such as SharePoint 2010 or SharePoint 2013
Spinning Up ServiceNow: IT Service Managers' Guide to Successful User Adoption shows you how to orchestrate your IT service desks and developers to facilitate the adoption and consumption of IT services by all users, supporting their various business needs while optimizing human-computer interaction and minimizing stress and productivity loss arising from poor human-system design.
What You'll Learn
Quick-start ServiceNow in a matter of days with the minimum configuration required to start processing tickets via email
Avoid the teething problems that can spoil your users’ onboarding experience with ServiceNow
Automate the process of scaling up new teams into ServiceNowShape your users' experiences so that they retain their familiar bearings in email and Active Directory while welcoming the power of ServiceNow enhancementsCreate a strategy to avoid common pitfalls that sabotage ITSM programs
Who This Book Is For
IT managers charged with implementing ServiceNow ITSM suites in their organizations and business analysts determining the requirements for such implementation. The secondary readership is system administrators and developers involved in ITSM.
This book will help you to develop a holistic architectural awareness and knowledge base that extends beyond concrete methods, techniques, and technologies. It will also help you to acquire or expand the technical, methodological, and social competences that you need. The authors place the spotlight on you, the architect, and offer you long-term architectural orientation. They give you numerous guidelines, checklists, and best practices to support you in your practical work.
"Software Architecture" offers IT students, software developers, and software architects a holistic and consistent orientation across relevant topics. The book also provides valuable information and suggestions for system architects and enterprise architects, since many of the topics presented are also relevant for their work. Furthermore, IT project leads and other IT managers can use the book to acquire an enhanced understanding of architecture.
Further information is available at www.software-architecture-book.org.
Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario.
What You’ll LearnTurbocharge your Power BI model by adding advanced DAX programming techniquesKnow when to use calculated measures versus calculated columns
Generate new tables on the fly from existing data
Optimize, monitor, and tune Power BI to improve performance of your models
Discover new ideas, tricks, and time-saving techniques for better models
Who This Book Is For
Business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios.
Microsoft’s new chat-based collaboration software has many rich features that enable teams to be more efficient, and save valuable time and resources. However, as with all software, there is a learning curve and pitfalls that should be avoided.
Begin by learning the core components and use cases for Teams. From there the authors guide you through ideas to create governance and adoption plans that make sense for your organization or customer. Wrap up with an understanding of features and services in progress, and a road map to the future of the product.
What You'll LearnImplement, use, and manage Microsoft Teams
Understand how Teams drives productivity and engagement by combining the functionality of Microsoft Groups, SharePoint, OneDrive, Outlook, and other services in one location
Govern, explain, and use Teams in your organization
Know the pitfalls to avoid that may create challenges in your usage of Teams
Become familiar with the functionality and components of Teams via walkthroughs, including opportunities for automating business processes in Teams
Who This Book Is For
Anyone who wants to learn Microsoft Teams. To get the most out of the book, a basic understanding of Office 365 and a subscription, including a Microsoft Teams license, is useful.
This book introduces the economic applications of the theory of continuous-time finance, with the goal of enabling the construction of realistic models, particularly those involving incomplete markets. Indeed, most recent applications of continuous-time finance aim to capture the imperfections and dysfunctions of financial markets—characteristics that became especially apparent during the market turmoil that started in 2008.
The book begins by using discrete time to illustrate the basic mechanisms and introduce such notions as completeness, redundant pricing, and no arbitrage. It develops the continuous-time analog of those mechanisms and introduces the powerful tools of stochastic calculus. Going beyond other textbooks, the book then focuses on the study of markets in which some form of incompleteness, volatility, heterogeneity, friction, or behavioral subtlety arises. After presenting solutions methods for control problems and related partial differential equations, the text examines portfolio optimization and equilibrium in incomplete markets, interest rate and fixed-income modeling, and stochastic volatility. Finally, it presents models where investors form different beliefs or suffer frictions, form habits, or have recursive utilities, studying the effects not only on optimal portfolio choices but also on equilibrium, or the price of primitive securities. The book strikes a balance between mathematical rigor and the need for economic interpretation of financial market regularities, although with an emphasis on the latter.
The scope and functions of a modern travel agency have increased manifold over the years. The present book The Business of Travel Agency and Tour Operations Management explains the various concepts of travel agency operations in a systematic manner and makes it easier for not only students of tourism management
but also working professionals to comphend the subject.
Since customer relation is key to the success of travel agency business, the book explains the need for understanding and retaining the customers as it is easier to retain loyal customers than to make new ones.
This book contains some additional features including key terms, comprehensive outline of as many concepts as possible, references and bibliography. Throughout, the approach has been to explain the concepts in a simple and comprehensive manner.
The main objective of the book is to provide valuable source material on the complex subject of travel agency business to graduate as well as post-graduate and management students of travel and tourism, travel agencies, airlines and others engaged in the business of tourism.
After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary.Create and run your own Python scripts by learning basic syntaxUse Python’s csv module to read and parse CSV filesRead multiple Excel worksheets and workbooks with the xlrd modulePerform database operations in MySQL or with the mysqlclient moduleCreate Python applications to find specific records, group data, and parse text filesBuild statistical graphs and plots with matplotlib, pandas, ggplot, and seabornProduce summary statistics, and estimate regression and classification modelsSchedule your scripts to run automatically in both Windows and Mac environments
Gorton’s book tries to resolve this dilemma. It concisely describes the essential elements of knowledge and key skills required to be a software architect. The explanations encompass the essentials of architecture thinking, practices, and supporting technologies. They range from a general understanding of structure and quality attributes through technical issues like middleware components and service-oriented architectures to recent technologies like model-driven architecture, software product lines, aspect-oriented design, and the Semantic Web, which will presumably influence future software systems. This second edition contains new material covering enterprise architecture, agile development, enterprise service bus technologies, RESTful Web services, and a case study on how to use the MeDICi integration framework.
All approaches are illustrated by an ongoing real-world example. So if you work as an architect or senior designer (or want to someday), or if you are a student in software engineering, here is a valuable and yet approachable knowledge source for you.
This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing.
This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs.* The Second Edition presents 5 new chapters on structured product engineering, credit markets and instruments, and principle protection techniques, among other topics
* Additions, clarifications, and illustrations throughout the volume show these instruments at work instead of explaining how they should act
* The Solutions Manual enhances the text by presenting additional cases and solutions to exercises
Chapters include: number; angles; fractions; two-dimensional shapes; decimals; statisticsl directed numbers; graphs; measurement; perimeter and area; algebraic expressions; approximations; equations; percentages; formulae; circles; probability; three-dimensional shapes; ratio and proportion; pythagoras' theorem and trigonometry; indices and standard form.
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The Complete Introduction series from Teach Yourself is the ultimate one-stop guide for anyone wanting a comprehensive and accessible entry point into subjects as diverse as philosophy, mathematics, psychology, Shakespeare and practical electronics. Loved by students and perfect for general readers who simply want to learn more about the world around them, these books are your first choice for discovering something new.
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This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.
What You'll LearnInstall Windows 7, 8.1, or 10 locally
Perform upgrades locally on a Windows PC, including migrating data and user profiles
Deploy operating systems using Lite Touch techniques
Deploy operating systems using Zero Touch technologies
Maintain on-premises and devices not connected to the company network by using WSUS and Windows Intune
Who This Book Is For
IT pros including IT support personnel and system administrators. This book will also be of interest to Windows experts and power users.
The book is organized into 12 chapters grouped into 6 parts. Part 1 is an Introduction to E-Commerce and E-Marketplaces. Part 2 focuses on EC Applications, while Part 3 looks at Emerging EC Platforms, with two new chapters on Social Commerce and Enterprise Social Networks. Part 4 examines EC Support Services, and Part 5 looks at E-Commerce Strategy and Implementation. Part 6 is a collection of online tutorials on Launching Online Businesses and EC Projects, with tutorials focusing on e-CRM; EC Technology; Business Intelligence, including Data-, Text-, and Web Mining; E-Collaboration; and Competition in Cyberspace.the following="" tutorials="" are="" not="" related="" to="" any="" specific="" chapter.="" they="" cover="" the="" essentials="" ec="" technologies="" and="" provide="" a="" guide="" relevant="" resources.="" p
Written so chapters can be used independently, the book includes an introduction to computer simulation and pedagogical supplements. Its formal, accessible treatment of complexity goes beyond the scopes of neoclassical and mainstream economics. The highly interdependent economy of the 21st century demands a reconsideration of economic theories.Describes the usefulness of complex heterodox economicsEmphasizes divergences and convergences with neoclassical economic theories and perspectivesFits easily into courses on intermediate microeconomics, industrial organization, and games through self-contained chapters
This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools.First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and managementWritten by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projectsVery practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the wayIncludes sample unstructured metadata for use in self-testing and developing skills
The Failure of Risk Management takes a close lookat misused and misapplied basic analysis methods and shows how someof the most popular "risk management" methods are no better thanastrology! Using examples from the 2008 credit crisis, naturaldisasters, outsourcing to China, engineering disasters, and more,Hubbard reveals critical flaws in risk management methods–andshows how all of these problems can be fixed. The solutions involvecombinations of scientifically proven and frequently used methodsfrom nuclear power, exploratory oil, and other areas of businessand government. Finally, Hubbard explains how new forms ofcollaboration across all industries and government can improve riskmanagement in every field.
Douglas W. Hubbard (Glen Ellyn, IL) is the inventor ofApplied Information Economics (AIE) and the author of Wiley'sHow to Measure Anything: Finding the Value of Intangibles inBusiness (978-0-470-11012-6), the #1 bestseller in businessmath on Amazon. He has applied innovative risk assessment and riskmanagement methods in government and corporations since 1994.
"Doug Hubbard, a recognized expert among experts in the field ofrisk management, covers the entire spectrum of risk management inthis invaluable guide. There are specific value-added take aways ineach chapter that are sure to enrich all readers including IT,business management, students, and academics alike"
—Peter Julian, former chief-information officer of theNew York Metro Transit Authority. President of Alliance Groupconsulting
"In his trademark style, Doug asks the tough questions on riskmanagement. A must-read not only for analysts, but also for theexecutive who is making critical business decisions."
—Jim Franklin, VP Enterprise Performance Managementand General Manager, Crystal Ball Global Business Unit, OracleCorporation.
• Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3
• Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
• Use probability and probability distributions
• Work with sampling distributions and confidence intervals
• Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
• Perform powerful regression analysis and modeling
• Use multiple regression to develop models that contain several independent variables
• Master specific statistical techniques for quality and Six Sigma programs
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Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e
This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.
This book demystifies budgets and forecasts, providing simple explanations and clear examples. It includes integrated checklists, goals and milestones, to ensure you are on target to achieve the best results.
Part of The Financial Times Essential Guides series: Task-focused and results-orientated, the essential guides are for every manager who wants to move their skills beyond the ordinary to the best.
Do you have the plan of starting a business? Do you wish to develop an existing business? Or are you starting a non-profit? Whatever your project may be, you need to create a plan and knowledge that will ensure you have a successful business operation.
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The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references. Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated.
A standard textbook for graduate finance courses
Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation
Detailed examples and MATLAB codes integrated throughout the text
Exercises and summaries of main points conclude each chapter
When you are looking for a quick nuts-and-bolts overview, there’s no series that does it better. Schaum's Easy Outline of Introduction to Mathematical Economics is a pared-down, simplified, and tightly focused version of its predecessor.
Despite tremendous advances in Scanning Probe Microscopy (SPM) over the last twenty years, its potential as a quantitative measurement tool have not been fully realized, due to challenges such as the complexity of tip/sample interaction. In this book, Petr Klapetek uses the latest research to unlock SPM as a toolkit for nanometrology in fields as diverse as nanotechnology, surface physics, materials engineering, thin film optics, and life sciences. Klapetek's considerable experience of Quantitive Data Processing, using software tools, enables him to not only explain the microscopy techniques, but also to demystify the analysis and interpretation of the data collected.
In addition to the essential principles and theory of SPM metrology, Klapetek provides readers with a number of worked examples to demonstrate typical ways of solving problems in SPM analysis. Source data for the examples as well as most of the described open source software tools are available on a companion website.Unlocks the use of Scanning Probe Microscopy (SPM) for nanometrology applications in engineering, physics, life science and earth science settings.
Provides practical guidance regarding areas of difficulty such as tip/sample interaction and calibration – making metrology applications achievable.
Gives guidance on data collection and interpretation, including the use of software-based modeling (using applications that are mostly freely available).
Section 1 gives a thorough review of the fundamental processes, while Section 2 deals with buying and selling, the first factors considered in calculating a firm's profit or loss. Section 3 discusses the operating expenses that reduce the profit or increase the loss from buying and selling activities, and the actual calculation of net profit or loss. Sections 4 and 5 consider the principles of interest as a form of additional income or expense, as well as the investment in stocks, bonds, mutual funds, and
other areas as still another source of income or expense. Section 6 describes the procedures for summarizing and analyzing data. The review part at the end of each section lists the important terms and reinforces the major principles learned in the unit. The summary problems in the Unit Review are intended as self-tests and should serve as effective review for examinations.
This book will be of great value to business mathematicians, economists, and the general public who are interested in investments.
For building a knowledge society, it is critically important to thoroughly understand quality and standards in e-learning. The handbook provides a cross-national perspective on these issues and draws a clear picture of the situation in quality development and standardisation. It covers topics of a rather foundational nature in quality and standardisation research as well as descriptions of quality approaches, instruments, standards, experiences and best practices. The Handbook is directed to learners, professionals, researchers and policy makers – people creating the next generation of learning.
There are a number of books out there on project management. What is different and specific about this book?
There is a balance between socio-cultural and technical aspects and there is a balance between qualitative and quantitative aspects – project management is seen as both an art and a science.It provides an information systems orientation for project management: neither information technology oriented on the one side nor production and operations oriented on the other, but of application to both within an organizational-wide view.It stresses information systems as a whole, not just software development – no project is successful if only software aspects are considered.It gives a truly international view of the domain – examples and experiences from different parts of the world add richness as well as context to the material. Globalization has ensured that most projects take on an international dimension.The book provides a coherent explanation of the concerns of the project manager as the project develops through the project life cycle – it does not follow a 'kitchen sink approach'.Each chapter has the following consistent structure: introduction and outline, an exhibit, the main text with examples, chapter summary, exercises, discussion questions, interview with project manager and appendix – this structure provides coherence and consistency.The exhibit, interview and appendix contain real-world examples, experiences, case studies, discussion material, software descriptions and professional codes – these provide material for class discussion and group work. The material has been used on our courses in the United States, Europe and Australia, given to practitioners as well as students (both undergraduate and postgraduate) – it has been well tested as part of our own project managemenThe material in this text has been proven successful through repeated use in courses in the United States, Europe, and Australia, by practitioners as well as undergraduate and postgraduate students.
This core text is designed for advanced undergraduate and graduate courses such as Management Information Systems, Computer Information Systems, Information Systems, and Decision and Information Systems in the departments of information systems, information technology, and business.
* Learn the tools and techniques for developing software systems and for streamlining business processes
* Keep up to date and well informed in this highly regulated and ever changing market
* Gain the knowledge and experience for a leading consultant in the field
Unlike other mathematics textbooks for economics, An Introduction to Mathematical Analysis for Economic Theory and Econometrics takes a unified approach to understanding basic and advanced spaces through the application of the Metric Completion Theorem. This is the concept by which, for example, the real numbers complete the rational numbers and measure spaces complete fields of measurable sets. Another of the book's unique features is its concentration on the mathematical foundations of econometrics. To illustrate difficult concepts, the authors use simple examples drawn from economic theory and econometrics.
Accessible and rigorous, the book is self-contained, providing proofs of theorems and assuming only an undergraduate background in calculus and linear algebra.
Begins with mathematical analysis and economic examples accessible to advanced undergraduates in order to build intuition for more complex analysis used by graduate students and researchers
Takes a unified approach to understanding basic and advanced spaces of numbers through application of the Metric Completion Theorem
Focuses on examples from econometrics to explain topics in measure theory
Whether you are a beginner or a seasoned practitioner, this book also serves as a practical reference for key concepts in Agile and Agile methodologies such as Scrum, XP, Lean, and Kanban.
What you will learn:•The necessary knowledge of the skills, tools, and techniques that are required for passing the PMI-ACP examination•To understand the scope and objectives of the PMI-ACP exam, and gain confidence by taking practice quizzes provided in each chapter and three full-length mock exams•To gain exposure to Agile methodologies such as Scrum, XP, Lean, and Kanban plus various tools and techniques required to conduct Agile projects•The focus is to "Be Agile", rather than "Do Agile"
Who this book is for:
The audience for this book primarily includes IT professionals who wish to prepare for and pass the Agile Certified Professional (ACP) exam from the Project Management Institute (PMI). The book also is a practical reference book for Agile Practioners.
For the past decade, organizations have relied on banding to select employees by forming groups of bands of applicants based on their scores on tests, interviews, and any other measure. Because test scores are never perfectly accurate, these bands render applicants within the same band indistinguishable. Secondary criteria, such as ethnicity and gender, then are used to break the tie, allowing organizations to increase diversity by increasing the proportion of employees who are members of underrepresented groups.