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
This book explores innovative themes that will trace the business paths for many firms in the near future. It is based on research and experience in several major companies, in particular the Snaidero Group (Europe’s leading company in the kitchen sector), with contributions by leading Information & Communication Technologies (ICT) companies.
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
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.
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.
Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice.
Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun.
Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.
What You'll Learn
Understand the most commonly used Agile methodology—Scrum—and how it relates to eXtreme Programming and Kanban as well as to Lean principles
Identify the challenges of the Scrum Master role and understand what this role is all about
Know the stages of Scrum team developmentEmbrace and solve conflicts in a Scrum teamWho This Book Is For
Anyone looking for a simple way to understand Scrum methodology
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.
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.
ABOUT THE SERIES
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.
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
Although DSD is gaining major and steadily increasing attention in the market, it has hardly been covered by literature and empirical studies. For the first time and including the input of both practitioners and academics, this book throws light on the topic of DSD from different perspectives, providing fresh insights and benefits.
The book covers diverse topics. Among others, it delivers a deeper understanding of the DSD business process and why companies use it. Furthermore, the global status quo of DSD usage and details of its implementation will be illustrated and multi-level insights (strategic, operational) will be discussed.
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.
Jumpstart Tableau covers the basic reporting and analysis functions that most BI users perform in their day-to-day work. These include connecting to a data source, working with dimensions and measures, developing reports and charts, saving workbooks, filtering, swapping, sorting, formatting, grouping, creating hierarchies, forecasting, exporting, distributing, as well developing various chart types.
Each exercise in Jumpstart Tableau provides screenshots that cover every step from start to finish. The exercises are based on a comprehensive sample Excel-based data source that Tableau Software (version 9) has provided, which makes it very easy to duplicate the exercises on the real software.
This book teaches you to:Execute each function in a step-by-step mannerWork up to more advanced and complex Tableau functionalityIntegrate individual development of content, such as tables/charts and visualizations., onto a dashboard for an effective presentationWhat You'll LearnConnect to data sourcesDevelop reportsCreate visualizationsPerform analysis functions (e.g., filtering, drilldown, sorting, grouping, forecasting, etc.)Save visualizations in different formats and distribute themDevelop dashboards and their content
Who This Book Is For
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
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.
Agile Development in the Real World conveys valuable insights to multiple audiences:For new-to-agile project managers, this book provides a distinctive approach that Alan Cline has used with great success, while showing the decision points and perspectives as the agile project moves forward from one step to the next. This allows new agile project managers or agile coaches to choose between the benefits of agile and the benefits of other methods.For the agile technical team member, this book contains templates and sample project artifacts to assist in learning agile techniques and to be used as exemplars for the new practitioner’s own project.For the Project Management Office (PMO), the first three chapters focus on portfolio management. They explain, for the agilists’ benefit, how projects are selected and approved, and why projects have an inherent "shelf-life" that results in hard deadlines that may seem arbitrary to traditional technical teams.
What You Will Learn:How and why the evolution of project management, from PM-1 (prescriptive) to PM-2 (adaptive) affects modern 21st century project management.
How sociology (stakeholder management), psychology (team dynamics), and anthropology (organizational culture) affect the way software is developed today, and why it is far more effective
A clear delineation of what must to be accomplished by all the roles (PM, BA, APM, Developer, and Tester), why those roles are needed, and what they must doStep-by-step guide for a successful project based on studies and the author’s own experiences.
Specific techniques for each role on the development team, both in the pre-iteration and iteration cycles, of product development. The appendices contain templates that the team could use or modify to tailor their own agile processes specific to the team, project, and organization.
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.
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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 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.
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 look at misused and misapplied basic analysis methods and shows how some of the most popular "risk management" methods are no better than astrology! Using examples from the 2008 credit crisis, natural disasters, outsourcing to China, engineering disasters, and more, Hubbard reveals critical flaws in risk management methods–and shows how all of these problems can be fixed. The solutions involve combinations of scientifically proven and frequently used methods from nuclear power, exploratory oil, and other areas of business and government. Finally, Hubbard explains how new forms of collaboration across all industries and government can improve risk management in every field.
Douglas W. Hubbard (Glen Ellyn, IL) is the inventor of Applied Information Economics (AIE) and the author of Wiley's How to Measure Anything: Finding the Value of Intangibles in Business (978-0-470-11012-6), the #1 bestseller in business math on Amazon. He has applied innovative risk assessment and risk management methods in government and corporations since 1994.
"Doug Hubbard, a recognized expert among experts in the field of risk management, covers the entire spectrum of risk management in this invaluable guide. There are specific value-added take aways in each chapter that are sure to enrich all readers including IT, business management, students, and academics alike"
—Peter Julian, former chief-information officer of the New York Metro Transit Authority. President of Alliance Group consulting
"In his trademark style, Doug asks the tough questions on risk management. A must-read not only for analysts, but also for the executive who is making critical business decisions."
—Jim Franklin, VP Enterprise Performance Management and General Manager, Crystal Ball Global Business Unit, Oracle Corporation.
• 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).
What You'll LearnLeverage well-established best practices and commonly-used Python packages
A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.
• Business-focused – concise but comprehensive coverage of the core material for business students
• Grounded in theory – provides a strong foundation in the subject
• Coherent and integrated – builds concepts systematically, showing the connections between subjects and leading to a more sophisticated understanding of how different areas interrelate
• Fully up-to-date – with the latest developments and cutting edge ideas from the field
• Practical – demonstrates the application of theory to real-world situations through over 30 specially-written case studies with global appeal plus new online 'Careers in IS' videos
• Supported – by a vast array of quality resources online at www.palgrave.com/business/beynon-daviesbis2e
Brand new key features for this second edition:
• Online 'Careers in IS' videos with integrated exercises in the book, easily accessible via a QR code, and featuring leading practitioners in the public and private sectors. These include the CTO of the BBC and the Deputy Head of e-Commerce at Schuh.co.uk talking about why technology is central to business operations, and providing valuable career guidance.
• New sections throughout including cloud computing, mobile eCommerce, eGovernment and green ICT
• Content aligned with IS2010 model curricula and capability outcomes and AACSB and AMBA requirements.
• Nine new UK and international cases including 'The Arab Spring and Social Media', 'Off-shoring in Bangalore' and 'The Indian Identity Number'.
Business Information Systems links with 15 cases from the Journal of Information Technology and the Journal of Information Technology Teaching Cases with easy online access.