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Financial Modelling in Power BI

Financial Modelling in Power BI
Author: Jonathan Liau
Publisher: Tickling Keys, Inc.
Total Pages: 363
Release: 2022-07-28
Genre: Computers
ISBN: 1615471618

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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.


Business Intelligence Techniques

Business Intelligence Techniques
Author: Murugan Anandarajan
Publisher: Springer Science & Business Media
Total Pages: 271
Release: 2012-11-02
Genre: Business & Economics
ISBN: 3540247009

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Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include: query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand on their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.


Financial Modeling for Decision Making

Financial Modeling for Decision Making
Author: Ron Messer
Publisher: Emerald Group Publishing
Total Pages: 360
Release: 2020-09-01
Genre: Business & Economics
ISBN: 1789734134

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This book provides accounting students in post-secondary institutions with an advanced level understanding of how to use MS-Excel to make business decisions. It reflects real-life applications of this important analytical tool, which has become the accepted industry standard for spreadsheet software.


Dax Formulas for Finance

Dax Formulas for Finance
Author: Hayden Van Der Post
Publisher: Independently Published
Total Pages: 0
Release: 2024-06-22
Genre: Business & Economics
ISBN:

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Reactive Publishing "DAX Formulas for Finance" is a definitive guide for finance professionals, data analysts, and business intelligence enthusiasts who want to elevate their financial data analysis using DAX (Data Analysis Expressions) in Power BI. This book provides a comprehensive exploration of DAX formulas tailored specifically for financial applications, enabling readers to perform complex calculations, create dynamic financial models, and uncover deeper insights into financial data. Key Features: Finance-Focused Content: Dedicated to financial use cases, covering DAX formulas that are crucial for financial analysis, reporting, and forecasting. Real-World Examples: Practical, real-world examples illustrate how DAX formulas can be applied to solve typical financial challenges. Step-by-Step Instructions: Detailed tutorials guide readers through the creation and optimization of DAX formulas for various financial scenarios. Advanced Techniques: Explore advanced DAX functions and techniques to enhance financial modeling and analysis. Best Practices: Learn industry best practices for writing efficient and accurate DAX formulas to ensure optimal performance and reliability. Target Audience: Financial Analysts Accountants Finance Managers Business Intelligence Professionals Data Analysts CFOs and Financial Executives Benefits: Enhance Financial Analysis: Master DAX formulas to perform sophisticated financial analyses and create robust financial models. Increase Efficiency: Streamline financial reporting and forecasting processes with powerful DAX calculations. Gain Insights: Leverage advanced DAX techniques to gain deeper insights into financial performance and trends. Improve Decision-Making: Make data-driven financial decisions with confidence by utilizing precise and comprehensive DAX formulas. Stay Competitive: Stay ahead in the finance industry by mastering a critical skill set in data analysis and business intelligence.


Analyzing Data with Power BI and Power Pivot for Excel

Analyzing Data with Power BI and Power Pivot for Excel
Author: Alberto Ferrari
Publisher: Microsoft Press
Total Pages: 438
Release: 2017-04-28
Genre: Business & Economics
ISBN: 1509302816

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Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data


Hands-On Financial Modeling with Microsoft Excel 2019

Hands-On Financial Modeling with Microsoft Excel 2019
Author: Shmuel Oluwa
Publisher: Packt Publishing Ltd
Total Pages: 280
Release: 2019-07-11
Genre: Computers
ISBN: 1789531632

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Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key FeaturesA non data professionals guide to exploring Excel's financial functions and pivot tablesLearn to prepare various models for income and cash flow statements, and balance sheetsLearn to perform valuations and identify growth drivers with real-world case studiesBook Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learnIdentify the growth drivers derived from processing historical data in ExcelUse discounted cash flow (DCF) for efficient investment analysisBuild a financial model by projecting balance sheets, profit, and lossApply a Monte Carlo simulation to derive key assumptions for your financial modelPrepare detailed asset and debt schedule models in ExcelDiscover the latest and advanced features of Excel 2019Calculate profitability ratios using various profit parametersWho this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.


Customer Accounting

Customer Accounting
Author: Massimiliano Bonacchi
Publisher: Springer
Total Pages: 87
Release: 2018-11-04
Genre: Business & Economics
ISBN: 3030019713

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This book is designed to meet the needs of CFOs, accounting and financial professionals interested in leveraging the power of data-driven customer insights in management accounting and financial reporting systems. While academic research in Marketing has developed increasingly sophisticated analytical tools, the role of customer analytics as a source of value creation from an Accounting and Finance perspective has received limited attention. The authors aim to fill this gap by blending interdisciplinary academic rigor with practical insights from real-world applications. Readers will find thorough coverage of advanced customer accounting concepts and techniques, including the calculation of customer lifetime value and customer equity for internal decision-making and for external financial reporting and valuation. Beyond a professional audience, the book will serve as ideal companion reading for students enrolled in undergraduate, graduate, or MBA courses.


Analytics and Big Data for Accountants

Analytics and Big Data for Accountants
Author: Jim Lindell
Publisher: John Wiley & Sons
Total Pages: 224
Release: 2020-12-03
Genre: Computers
ISBN: 111978462X

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Why is big data analytics one of the hottest business topics today? This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators. Key topics covered include: Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects Relating data to return on investment, financial values, and executive decision making Data sources including surveys, interviews, customer satisfaction, engagement, and operational data Visualizing and presenting complex results


Financial Business Intelligence

Financial Business Intelligence
Author: Nils H. Rasmussen
Publisher: John Wiley & Sons
Total Pages: 304
Release: 2002-10-15
Genre: Business & Economics
ISBN: 0471267856

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Turn storehouses of data into a strategic tool Business intelligence has recently become a word used by almostevery CFO, controller, and analyst. After having spent the lastdecade implementing Enterprise Resource Planning software and othermission critical solutions, companies now have large databases withtransactional data sitting in their computer rooms. Now, finally,the technology has reached a point where it is possible- in almostreal time-to quickly and easily analyze the financial data in thecorporate databases, to be able to make more intelligent businessdecisions. This book will help financial managers understand thetrends, technology, software selection, and implementation offinancial business intelligence (financial BI) software. With adictionary of business intelligence terms, a comprehensive list ofRequest for Proposal questions, and examples of popular financialbusiness intelligence reroutes and user interfaces, this bookenables managers to measure their companies' business intelligenceand maximize its value.