Practical Monte Carlo Simulation with Excel - Part 1 of 2

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Author :
Publisher : Gatekeeper Press
ISBN 13 : 1642371564
Total Pages : 375 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Practical Monte Carlo Simulation with Excel - Part 1 of 2 by : Akram Najjar

Download or read book Practical Monte Carlo Simulation with Excel - Part 1 of 2 written by Akram Najjar and published by Gatekeeper Press. This book was released on 2018-04-18 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Monte Carlo Simulation with Excel - Part 2 of 2

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Author :
Publisher : Gatekeeper Press
ISBN 13 : 1642371572
Total Pages : 768 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Practical Monte Carlo Simulation with Excel - Part 2 of 2 by : Akram Najjar

Download or read book Practical Monte Carlo Simulation with Excel - Part 2 of 2 written by Akram Najjar and published by Gatekeeper Press. This book was released on 2018-04-18 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a fair number of stand alone applications as well as add on’s to Microsoft Excel in the market to be used to run Monte Carlo Simulation (MCS) models. However, out of the box, Excel has all the functions you need to develop such models. What is needed are robust modeling procedures, techniques and analytic formulations. Initially, I started with one book. This grew out of proportion as more and more applications and models were identified. Some of these had not been modeled with MCS before. I had to break the book into two parts. Part 1 presents the basics of modeling always providing methods and typical models as applications of simulation. Part 1 also spends time on clarifying different ways of analyzing the simulation output using a variety of statistical functions and procedures all found within Excel. The eBook clarifies a variety of Excel facilities needed in different parts of simulation: sensitivity analysis, linear regression and the Analysis Toolpack. Finally, Part 1 presents a few standard modeling techniques that can be used in a variety of models, specifically in Part 2. Part 2 concentrates on applications such as project management, acceptance sampling, sales and budget forecasting, queuing models, reliability engineering and more. Since these operations behave according to specific statistical distributions, time is spent on clarifying a variety of these functions. When one or two are not available in Excel, alternative methods of computation are presented. A special chapter addresses Markov Processes and shows how simulation can be coupled to such an analysis. The uses and applications of statistical distributions in these operations are addressed in depth. Having covered Uniform, Normal and Discrete Distributions in Part 1, Part 2 proceeds to present and give applications for the following distributions: binomial, negative binomial, geometric, hypergeometric, triangular (not commonly used but is the basis as to why betaPERT is preferred), Poisson, exponential, Gamma and Weibull. No programming is required although in one single case, an embedded VBA module is included. It is used to formulate a method that allows the analyst to develop a two level simulation. To get the results of each of the primary runs in the model, the model runs a further “sub-simulation”. No VBA competence is required. The two eBooks come with 21 and 54 step by step models, respectively, and with supporting images. Whenever statistical functions are used, they are fully clarified using a common sense and non-theoretical approach. All the workouts are solved and are available for download from this page.

Introductory Econometrics

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Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521843195
Total Pages : 810 pages
Book Rating : 4.8/5 (431 download)

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Book Synopsis Introductory Econometrics by : Humberto Barreto

Download or read book Introductory Econometrics written by Humberto Barreto and published by Cambridge University Press. This book was released on 2006 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.

Monte Carlo Methods

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Publisher : Springer Nature
ISBN 13 : 303102429X
Total Pages : 123 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Monte Carlo Methods by : Sujaul Chowdhury

Download or read book Monte Carlo Methods written by Sujaul Chowdhury and published by Springer Nature. This book was released on 2022-06-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for undergraduate students of Mathematics, Statistics, and Physics who know nothing about Monte Carlo Methods but wish to know how they work. All treatments have been done as much manually as is practicable. The treatments are deliberately manual to let the readers get the real feel of how Monte Carlo Methods work. Definite integrals of a total of five functions (), namely Sin(), Cos(), e, loge(), and 1/(1+2), have been evaluated using constant, linear, Gaussian, and exponential probability density functions (). It is shown that results agree with known exact values better if () is proportional to (). Deviation from the proportionality results in worse agreement. This book is on Monte Carlo Methods which are numerical methods for Computational Physics. These are parts of a syllabus for undergraduate students of Mathematics and Physics for the course titled "Computational Physics." Need for the book: Besides the three referenced books, this is the only book that teaches how basic Monte Carlo methods work. This book is much more explicit and easier to follow than the three referenced books. The two chapters on the Variational Quantum Monte Carlo method are additional contributions of the book. Pedagogical features: After a thorough acquaintance with background knowledge in Chapter 1, five thoroughly worked out examples on how to carry out Monte Carlo integration is included in Chapter 2. Moreover, the book contains two chapters on the Variational Quantum Monte Carlo method applied to a simple harmonic oscillator and a hydrogen atom. The book is a good read; it is intended to make readers adept at using the method. The book is intended to aid in hands-on learning of the Monte Carlo methods.

How to Measure Anything in Cybersecurity Risk

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Publisher : John Wiley & Sons
ISBN 13 : 1119085292
Total Pages : 304 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis How to Measure Anything in Cybersecurity Risk by : Douglas W. Hubbard

Download or read book How to Measure Anything in Cybersecurity Risk written by Douglas W. Hubbard and published by John Wiley & Sons. This book was released on 2016-07-25 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: A ground shaking exposé on the failure of popular cyber risk management methods How to Measure Anything in Cybersecurity Risk exposes the shortcomings of current "risk management" practices, and offers a series of improvement techniques that help you fill the holes and ramp up security. In his bestselling book How to Measure Anything, author Douglas W. Hubbard opened the business world's eyes to the critical need for better measurement. This book expands upon that premise and draws from The Failure of Risk Management to sound the alarm in the cybersecurity realm. Some of the field's premier risk management approaches actually create more risk than they mitigate, and questionable methods have been duplicated across industries and embedded in the products accepted as gospel. This book sheds light on these blatant risks, and provides alternate techniques that can help improve your current situation. You'll also learn which approaches are too risky to save, and are actually more damaging than a total lack of any security. Dangerous risk management methods abound; there is no industry more critically in need of solutions than cybersecurity. This book provides solutions where they exist, and advises when to change tracks entirely. Discover the shortcomings of cybersecurity's "best practices" Learn which risk management approaches actually create risk Improve your current practices with practical alterations Learn which methods are beyond saving, and worse than doing nothing Insightful and enlightening, this book will inspire a closer examination of your company's own risk management practices in the context of cybersecurity. The end goal is airtight data protection, so finding cracks in the vault is a positive thing—as long as you get there before the bad guys do. How to Measure Anything in Cybersecurity Risk is your guide to more robust protection through better quantitative processes, approaches, and techniques.

Practical Spreadsheet Modeling Using @Risk

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Publisher : CRC Press
ISBN 13 : 0429508700
Total Pages : 222 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Practical Spreadsheet Modeling Using @Risk by : Dale Lehman

Download or read book Practical Spreadsheet Modeling Using @Risk written by Dale Lehman and published by CRC Press. This book was released on 2019-11-11 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Spreadsheet Modeling Using @Risk provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous examples based on real data and relevant practical decisions in a variety of settings, including health care, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment. All examples involve decision problems where uncertainties make simulation modeling useful to obtain decision insights and explore alternative choices. Good spreadsheet modeling practices are highlighted. The book is suitable for graduate students or advanced undergraduates in business, public policy, health care administration, or any field amenable to simulation modeling of decision problems. The book is also useful for applied practitioners seeking to build or enhance their spreadsheet modeling skills. Features Step-by-step examples of spreadsheet modeling and risk analysis in a variety of fields Description of probabilistic methods, their theoretical foundations, and their practical application in a spreadsheet environment Extensive example models and exercises based on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a free one-year educational software license

Monte Carlo Simulation and Resampling Methods for Social Science

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Author :
Publisher : SAGE Publications
ISBN 13 : 1483324923
Total Pages : 304 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey

Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey and published by SAGE Publications. This book was released on 2013-08-05 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Excel Simulations

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Publisher : Tickling Keys, Inc.
ISBN 13 : 1615473351
Total Pages : 177 pages
Book Rating : 4.6/5 (154 download)

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Book Synopsis Excel Simulations by : Gerard M. Verschuuren

Download or read book Excel Simulations written by Gerard M. Verschuuren and published by Tickling Keys, Inc.. This book was released on 2013-11-01 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a variety of Excel simulations, from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others.

Excel Data Analysis

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Author :
Publisher : Springer
ISBN 13 : 3030012794
Total Pages : 358 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Excel Data Analysis by : Hector Guerrero

Download or read book Excel Data Analysis written by Hector Guerrero and published by Springer. This book was released on 2018-12-14 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.

Financial Modeling with Crystal Ball and Excel

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Publisher : John Wiley & Sons
ISBN 13 : 1118161130
Total Pages : 449 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Financial Modeling with Crystal Ball and Excel by : John Charnes

Download or read book Financial Modeling with Crystal Ball and Excel written by John Charnes and published by John Wiley & Sons. This book was released on 2011-08-04 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Financial Modeling with Crystal Ball(r) and Excel(r) "Professor Charnes's book drives clarity into applied Monte Carlo analysis using examples and tools relevant to real-world finance. The book will prove useful for analysts of all levels and as a supplement to academic courses in multiple disciplines." -Mark Odermann, Senior Financial Analyst, Microsoft "Think you really know financial modeling? This is a must-have for power Excel users. Professor Charnes shows how to make more realistic models that result in fewer surprises. Every analyst needs this credibility booster." -James Franklin, CEO, Decisioneering, Inc. "This book packs a first-year MBA's worth of financial and business modeling education into a few dozen easy-to-understand examples. Crystal Ball software does the housekeeping, so readers can concentrate on the business decision. A careful reader who works the examples on a computer will master the best general-purpose technology available for working with uncertainty." -Aaron Brown, Executive Director, Morgan Stanley, author of The Poker Face of Wall Street "Using Crystal Ball and Excel, John Charnes takes you step by step, demonstrating a conceptual framework that turns static Excel data and financial models into true risk models. I am astonished by the clarity of the text and the hands-on, step-by-step examples using Crystal Ball and Excel; Professor Charnes is a masterful teacher, and this is an absolute gem of a book for the new generation of analyst." -Brian Watt, Chief Operating Officer, GECC, Inc. "Financial Modeling with Crystal Ball and Excel is a comprehensive, well-written guide to one of the most useful analysis tools available to professional risk managers and quantitative analysts. This is a must-have book for anyone using Crystal Ball, and anyone wanting an overview of basic risk management concepts." -Paul Dietz, Manager, Quantitative Analysis, Westar Energy "John Charnes presents an insightful exploration of techniques for analysis and understanding of risk and uncertainty in business cases. By application of real options theory and Monte Carlo simulation to planning, doors are opened to analysis of what used to be impossible, such as modeling the value today of future project choices." -Bruce Wallace, Nortel

Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119143012
Total Pages : 392 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences by : David L. Johnson

Download or read book Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences written by David L. Johnson and published by John Wiley & Sons. This book was released on 2017-01-17 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews and reinforces concepts and techniques typical of a first statistics course with additional techniques useful to the IH/EHS practitioner. Includes both parametric and non-parametric techniques described and illustrated in a worker health and environmental protection practice context Illustrated through numerous examples presented in the context of IH/EHS field practice and research, using the statistical analysis tools available in Excel® wherever possible Emphasizes the application of statistical tools to IH/EHS-type data in order to answer IH/EHS-relevant questions Includes an instructor’s manual that follows in parallel with the textbook, including PowerPoints to help prepare lectures and answers in the text as for the Exercises section of each chapter.

Data Science for Business and Decision Making

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Publisher : Academic Press
ISBN 13 : 0128112174
Total Pages : 1240 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Science for Business and Decision Making by : Luiz Paulo Fávero

Download or read book Data Science for Business and Decision Making written by Luiz Paulo Fávero and published by Academic Press. This book was released on 2019-04-11 with total page 1240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Monte Carlo Simulations Using Microsoft EXCEL®

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Publisher : Springer Nature
ISBN 13 : 3031338863
Total Pages : 164 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Monte Carlo Simulations Using Microsoft EXCEL® by : Shinil Cho

Download or read book Monte Carlo Simulations Using Microsoft EXCEL® written by Shinil Cho and published by Springer Nature. This book was released on 2023-06-15 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book ​offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex systems. Visualization of the simulation results via the Visual Basic built in Microsoft EXCEL is presented as the first step towards the subject. Prior experience with the Excel add-in VBA is kept to a minimum. In addition, a chapter on quantum optimization simulation utilizing Python is added to explore the quantum computation. Readers will gain a fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects and other research projects.

Financial Forecasting, Analysis, and Modelling

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Publisher : John Wiley & Sons
ISBN 13 : 1118921100
Total Pages : 234 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Financial Forecasting, Analysis, and Modelling by : Michael Samonas

Download or read book Financial Forecasting, Analysis, and Modelling written by Michael Samonas and published by John Wiley & Sons. This book was released on 2015-01-14 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk analysis has become critical to modern financial planning Financial Forecasting, Analysis and Modelling provides a complete framework of long-term financial forecasts in a practical and accessible way, helping finance professionals include uncertainty in their planning and budgeting process. With thorough coverage of financial statement simulation models and clear, concise implementation instruction, this book guides readers step-by-step through the entire projection plan development process. Readers learn the tools, techniques, and special considerations that increase accuracy and smooth the workflow, and develop a more robust analysis process that improves financial strategy. The companion website provides a complete operational model that can be customised to develop financial projections or a range of other key financial measures, giving readers an immediately-applicable tool to facilitate effective decision-making. In the aftermath of the recent financial crisis, the need for experienced financial modelling professionals has steadily increased as organisations rush to adjust to economic volatility and uncertainty. This book provides the deeper level of understanding needed to develop stronger financial planning, with techniques tailored to real-life situations. Develop long-term projection plans using Excel Use appropriate models to develop a more proactive strategy Apply risk and uncertainty projections more accurately Master the Excel Scenario Manager, Sensitivity Analysis, Monte Carlo Simulation, and more Risk plays a larger role in financial planning than ever before, and possible outcomes must be measured before decisions are made. Uncertainty has become a critical component in financial planning, and accuracy demands it be used appropriately. With special focus on uncertainty in modelling and planning, Financial Forecasting, Analysis and Modelling is a comprehensive guide to the mechanics of modern finance.

Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365)

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Publisher : Microsoft Press
ISBN 13 : 0137613679
Total Pages : 1788 pages
Book Rating : 4.1/5 (376 download)

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Book Synopsis Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) by : Wayne Winston

Download or read book Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) written by Wayne Winston and published by Microsoft Press. This book was released on 2021-12-17 with total page 1788 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook

Managing Project Risks for Competitive Advantage in Changing Business Environments

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Publisher : IGI Global
ISBN 13 : 1522503366
Total Pages : 373 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Managing Project Risks for Competitive Advantage in Changing Business Environments by : Bodea, Constanta-Nicoleta

Download or read book Managing Project Risks for Competitive Advantage in Changing Business Environments written by Bodea, Constanta-Nicoleta and published by IGI Global. This book was released on 2016-05-31 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk management is a vital concern in any organization. In order to succeed in the competitive modern business environment, the decision-making process must be effectively governed and managed. Managing Project Risks for Competitive Advantage in Changing Business Environments presents critical discussions on effective risk management in projects and methods to ensure overall success in project outcomes. Highlighting theoretical foundations, innovative practices, and real-world applications, this book is a pivotal reference source for managers, practitioners, upper-level students, and other professionals interested in how to properly adopt project risk management systems and tools.

Deena Katz's Complete Guide to Practice Management

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Publisher : John Wiley & Sons
ISBN 13 : 1576603083
Total Pages : 374 pages
Book Rating : 4.5/5 (766 download)

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Book Synopsis Deena Katz's Complete Guide to Practice Management by : Deena B. Katz

Download or read book Deena Katz's Complete Guide to Practice Management written by Deena B. Katz and published by John Wiley & Sons. This book was released on 2009-01-06 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deena B. Katz, CFP, a preeminent authority on practice management and an internationally recognized financial adviser, presents a comprehensive guide to running a professional financial planning practice. To create this book, Katz updated, revised, and combined her two acclaimed books Deena Katz on Practice Management (1999) and Deena Katz's Tools and Templates for Your Practice (2001). In this newly expanded volume, she presents the essentials on how to help a practice thrive side by side with the tools and templates needed for the everyday operation of your firm. This new volume offers guidance on practice-management issues: setting up an office systems and technology administration and staffing marketing growing as the market changes hanging on to clients for the long term succession planning when the time comes This comprehensive resource provides sample forms, worksheets, templates, letters, brochures, and collateral materials developed and refined by top wealth managers and planners. From keeping the business running well by designing dynamic collateral material, to considering plans for retirement, Deena B. Katz guides advisers through every challenge a financial planning business will face.