Zu dieser ISBN ist aktuell kein Angebot verfügbar.Alle Exemplare der Ausgabe mit dieser ISBN anzeigen:
Utilise Excel 2013 capabilities to build effective financial models Using Excel for Business Analysis, Revised Edition provides practical guidance for anyone looking to build financial models. Whether for business proposals, opportunity evaluation, financial reports, or any other business finance application, this book shows you how to design, create, and test your model, then present your results effectively using Excel 2013. The book opens with a general guide to financial modelling, with each subsequent chapter building skill upon skill until you have a real, working model of your own. Financial tools, features, and functions are covered in detail from a practical perspective, and put in context with application to real-world examples. Each chapter focuses on a different aspect of Excel modelling, including step-by-step instructions that walk you through each feature, and the companion website provides live model worksheets that give you the real hands-on practice you need to start doing your job faster, more efficiently, and with fewer errors. Financial modelling is an invaluable business tool, and Excel 2013 is capable of supporting the most common and useful models most businesses need. This book shows you how to dig deeper into Excel's functionality to craft effective financial models and provide important information that informs good decision-making. Learn financial modelling techniques and best practice Master the formulas and functions that bring your model to life Apply stress testing and sensitivity analysis with advanced conditionals Present your results effectively, whether graphically, orally, or written A deceptively powerful application, Excel supports many hundreds of tools, features, and functions; Using Excel for Business Analysis eliminates the irrelevant to focus on those that are most useful to business finance users, with detailed guidance toward utilisation and best practice.Contraportada:
Praise for Using Excel for Business Analysis
"Danielle brilliantly manages the balance between business relevance and the necessary technical explanations expected from a book such as this. Her ability to walk in the shoes of the reader and deliver concise practical wisdom is unsurpassed. I highly recommend this book to anyone working with numbers, be it a Chief Financial Officer talking to the board or a Business Analyst starting their career. With Danielle's advice you can transform your career from successful to exceptional."
Garth Holloway, Managing Director, SixFootFour Consulting
"Danielle's expertise and experience shines through in a very readable book, introducing the key concepts and considerations inherent in financial modelling. From novice to advanced modeller alike, readers are presented with many useful tips, tools, techniques, and pragmatic examples to refer to time and time again. Readily digestible, this book plugs a gaping academic hole that illustrates the risks and rewards of taking a spreadsheet by the throat and converting it into a robust, transparent, and flexible decision-making device. It will help you to 'Excel'."
Liam Bastick, Managing Director, SumProduct, and Excel MVP
"Excel is a powerful and underestimated tool in many business environments. Whilst there are a number of books on the market that help explain the countless functions and features of the product, there are few if any that clearly articulate and teach the analyst how to unlock the power of Excel as an analysis and modelling tool for critical business decisions. Filled with easy to follow examples and based on many years of practical experience and education, Danielle Stein Fairhurst's bookUsing Excel for Business Analysis: A Guide to Financial Modelling Fundamentals has finally bridged that gap with a step-by-step approach to building models that address important real-world business questions."
Michael Morgan, General Manager, Business & Productivity Solutions, Empired Limited
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.