Liam Bastick Bücher

This book is aimed at those who wish to advance their knowledge and expertise in financial modelling by addressing common problems that occur day to day in the world of business/decision analyses, forecasting, and valuations. Building on the sister book, An Introduction to Financial Modelling, this book begins where the other ends considering typical issues and traps in cashflow forecasting, inventory modelling, depreciation calculations, debt sculpting, rolling budgets and charts, and valuation construction, to name just a few relevant topics.

A simple walk-through of the common perils and pitfalls of financial modelling, this book examines the most common and necessary Excel functions, emphasizes the importance of a standardized and functional layout, explains accounting concepts simply, and reinforces four key concepts of best practice: consistency, robustness, flexibility, and transparency--CraFT. With more than fifty examples and an extended case study, this hands-on book helps users work with Excel more efficiently and effectively. This simple methodology has been adopted by many seasoned professionals who no longer must resort to balancing figures, circulars, and macros.

Just like a shovel, this book is genuinely ground-breaking. It hits you over the head with the proverbial gardening tool, implementing the way forward for financial modelling. Many working in banking and finance create their financial models in Excel and then import them into Power BI for graphical interpretation and further analysis. Not on our watch. We’re going to jettison the universal spreadsheet and build the entire model in Power BI. We can’t stress how far off the range we’re taking the horses. If you are reading this, you are a true pioneer. Some have managed to build the odd financial statement in Power BI, but all three? This is where you can gain a major advantage in the workplace. If you build the calculations for financial statements in Power BI, you can produce statements by product, by customer, by geography... Get the picture? The limitation will be restricted to the granularity of the underlying data and your imagination. This book unearths some of the tricks, measures, logic and tools needed to build the model (there is no need to bury your mistakes). We just can’t promise you a rose garden... With the usual jokes in spades, it’s just a shame we couldn’t get Doug (get it?) to assist.

A selection of articles from 21 Power BI MVPs. Each chapter focuses on a particular subject. Topics covered include: AI, architecture, data modeling, data preparation, DAX, enterprise issues and Integration