This book is intended to help professionals, especially from functional areas other than finance-such as sales, marketing, human resource, research and development, production, and procurement-to gain an extensive working knowledge of critical financial principles in an easy-to-follow manner, enabling them to make critical business decisions involving cost-savings, budgets, new projects decisions, and growth strategies. The author introduces the key concepts of finance so you can contribute to the success of your business. These will help you understand the language used by accountants and how financial statements fit together. Furthermore, you will understand how to use ratio analysis to get a sense of the company's performance. In addition, readers will learn the concepts of management accounting and various kinds of decisions, including make-or-buy and shutdown. You will gain an understanding of how to implement budgeting and working capital management. The exciting part is also the chapter on investment appraisal, where readers will learn how to evaluate business proposals from a return standpoint.

MS Excel is one of the most powerful tools available to a business manager. In this book, the author provides an advanced level of skill sets and brings actionable insights to the user. Hence, the material in this version has been organized as follows: Financial functions; Conditional math and statistical functions; Data analysis; Decision making; Data cleaning and use of macros; Auditors. The objective is to give readers a flavor of how the vast array of functions can be used to make life easier and more efficient. Amazing results can be achieved by mastering Excel at a basic level. Readers who execute the given functions on a workbook simultaneously and experience the journey will find the learning curve the steepest.

MS Excel: Let's advance to the Next Level is an attempt to take you to the next orbit of competence in this fascinating world. It is a ready reckoner for any practitioner who seeks to further his/her understanding of the tools and utilities. The author offers to make life easier for a data analyst, thus, it will be of relevance to students, academicians, the ones pursuing corporate careers as well as entrepreneurs preparing business plans for their startups. The book explains a wide array of complex functions, ranging from V-LOOKUP to MATCH/INDEX and pivot tables in very practical, simple, and implementable manner. The segments on conditional formatting and printing tricks will help the reader present the output to stakeholders in a more efficient manner. Do try the features Excel has on offer for controlling data input as well as creating checks and balances to ensure cell/sheet/file-level security.

Financial statements serve as a report card for a business through which managers and entrepreneurs can know their exact financial positions. These financial statements are prepared only through financial accounting. The main purpose of financial accounting is to help entrepreneurs exercise control over their business activities by controlling total costs incurred so that they are able to earn higher profits.

To use a cliche, we live in a volatile uncertain complex and ambiguous (VUCA) world. Organizations simply cannot afford to try out new strategies in reality and correct mistakes, once they've occurred. The stakes are too high. Thus emerges the utility of this technique across functions like financial planning and risk management. Financial models help a business manager simulate the future and see the impact of their change, without risking costly setbacks of real world trials and errors. Mastering the art of financial modeling is imperative for those who want to enter the ultra-competitive world of corporate finance, investment banking, private equity, or equity research. Only those who excel (pun intended) in modeling early on are often the most successful long-term. The book will help readers dive deep into the vocabulary and the syntax, the art and science of financial modeling and valuation. Readers will be able to prepare/use existing models more competently, interpret the results and have greater comfort over the integrity and accuracy of the model's calculations.