Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Business Analytics (Ragsdale Cliff)(Pevná vazba)

Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Business Analytics (Ragsdale Cliff)(Pevná vazba)

Valuable software, realistic examples, clear writing, and fascinating topics help you master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS, 8E. You'll find everything you need to become proficient in today's most widely used business analytics

Business Processes for Business Communities: Modeling Languages, Methods, Tools (Schnthaler Frank)(Pevná vazba)

Introduction.- Practical Introduction to Business Process Engineering.- Concepts and Modeling Languages.- The Horus Method.- Areas of Application.- The Future of Business Engineering.-

Practical Management Science (Winston Wayne L.)(Pevná vazba)

Learn to take full advantage of the power of spreadsheet modeling with PRACTICAL MANAGEMENT SCIENCE, 6E, geared entirely to Excel 2016. This edition uses an active-learning approach and realistic problems with the right amount of theory to ensure you establish a strong foundation. Exercises offer

Modeling Business Processes: A Petri Net-Oriented Approach (Van Der Aalst Wil)(Pevná vazba)

An introduction to the modeling of business information systems, with processes formally modeled using Petri nets.This comprehensive introduction to modeling business-information systems focuses on business processes. It describes and demonstrates the formal modeling of processes in terms of Petri

Network Meta-Analysis for Decision-Making (Dias Sofia)(Pevná vazba)

A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to

Stability and Control of Nonlinear Time-Varying Systems (Guo Shuli)(Pevná vazba)

Introduction.- Novel Mathematical Modeling and Stability Analysis of Linear Uncertain Systems Subject to Actuator Saturations.- Commuting Matrices, Equilibrium Points for Control Systems with Single Saturated Input.- Stability and Closed Trajectory for 2nd Order Control Systems with Single

Big Data on Campus: Data Analytics and Decision Making in Higher Education (Webber Karen L.)(Pevná vazba)

Google Analytics Breakthrough: From Zero to Business Impact (Alhlou Feras)(Pevná vazba)

A complete, start-to-finish guide to Google Analytics instrumentation and reporting Google Analytics Breakthrough is a much-needed comprehensive resource for the world's most widely adopted analytics tool. Designed to provide a complete, best-practices foundation in measurement strategy,

Fraud Analytics (Spann Delena D.)(Pevná vazba)

Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable

Excel Data Analysis: Modeling and Simulation (Guerrero Hector)(Pevná vazba)

Why does the World Need--Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a

Management Decision-Making, Big Data and Analytics (Gressel Simone)(Pevná vazba)

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies,

Cost Effectiveness Modelling for Health Technology Assessment: A Practical Course (Edlin Richard)(Pevná vazba)

Cost Effectiveness Analysis and Health Technology Assessment: An overview. - Building a decision tree cost effectiveness model. - An introduction to sensitivity analysis in Cost Effectiveness Analysis. - Implementing Probabilistic Sensitivity Analysis in Excel(R). - Outputs from Probabilistic

Profit Driven Business Analytics: A Practitioner's Guide to Transforming Big Data Into Added Value (Verbeke Wouter)(Pevná vazba)

Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Combining theoretical and technical insights into daily operations and long-term strategy, this

Agile and Business Analysis: Practical guidance for IT professionals (Girvan Lynda)(Paperback)

Agile is an iterative approach to software development that has rapidly gained popularity in the IT industry as the preferred alternative to traditional project management. For business analysts, adopting an Agile approach can revolutionize working practices. It enables clearer vision and success

Domain-Driven Design: Tackling Complexity in the Heart of Software (Evans Eric)(Pevná vazba)

Incorporate effective domain modeling into the software development process Software design thought leader and founder of Domain Language, Eric Evans, provides a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and

Functional Analysis - An Elementary Introduction (Haase Markus)(Pevná vazba)

Designing Software Architectures: A Practical Approach (Cervantes Humberto)(Pevná vazba)

Designing Software Architectures will teach you how to design any software architecture in a systematic, predictable, repeatable, and cost-effective way. This book introduces a practical methodology for architecture design that any professional software engineer can use, provides structured

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python (Shmueli Galit)(Pevná vazba)

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and

A First Course in Mathematical Modeling (Giordano Frank R.)(Pevná vazba)

Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 5th Edition delivers an excellent balance of theory and practice, and gives you relevant, hands-on experience developing and sharpening your modeling skills. Throughout, the book emphasizes key

Introduction to Meta-Analysis (Borenstein Michael)(Pevná vazba)

A clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated

Competing on Analytics: Updated, with a New Introduction - The New Science of Winning (Davenport Thomas H.)(Pevná vazba)

Introduction to Static Analysis: An Abstract Interpretation Perspective (Rival Xavier)(Pevná vazba)

A self-contained introduction to abstract interpretation-based static analysis, an essential resource for students, developers, and users.Static program analysis, or static analysis, aims to discover semantic properties of programs without running them. It plays an important role in all phases of

Just Enough Software Architecture: A Risk-Driven Approach (Fairbanks George)(Pevná vazba)

This practical guide seeks to make architecture relevant to all software developers. Developers need to understand how to use constraints as guiderails that ensure desired outcomes, and how seemingly small changes can affect a system's

Essentials of Software Testing (Bierig Ralf)(Pevná vazba)

Software testing can be regarded as an art, a craft, and a science. The practical, step-by-step approach presented in this book provides a bridge between these different viewpoints. A single worked example runs throughout, with consistent use of test automation. Each testing technique is introduced