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Income Statement Semantic Models: Building Enterprise-Grade Income Statement Models with Power Bi

Income Statement Semantic Models: Building Enterprise-Grade Income Statement Models with Power Bi

          
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About the Book

This comprehensive guide will teach you how to build an income statement semantic model, also known as the profit and loss (P&L) statement.

Author Chris Barber-- a business intelligence (BI) consultant, Microsoft MVP, and chartered accountant (ACMA, CGMA)--helps you master everything from designing conceptual models to building semantic models based on these designs. You will learn how to build a re-usable solution based on the trial balance and how to expand upon this to build enterprise-grade solutions. If you want to leverage the Microsoft BI platform to understand profit within your organization, this is the resource you need.

What You Will Learn

  • Modeling and the income statement: Learn what modelling the income statement entails, why it is important, and how income statements are constructed
  • Calculating account balances: Learn how to optimally calculate account balances using a Star Schema
  • Producing external income statement semantic models: Learn how to produce external income statement semantic models as they enable income statements to be analyzed from a range of perspectives and can be explored to reveal the underlying accounts and journal entries
  • Producing internal income statement semantic models: Learn how to create multiple income statement layouts and further contextualize financial information by including percentages and non-financial information, and learn about the various security and self-service considerations

Who This Book Is For

Technical users (solution architects, Microsoft Fabric developers, Power BI developers) who require a comprehensive methodology for income statement semantic models because of the modeling complexities and knowledge needed of the accounting process; and finance (management accountants) who have hit the limits of Excel and have started using Power BI, but are unsure how income statement semantic models are built


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Product Details
  • ISBN-13: 9798868803291
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Height: 234 mm
  • No of Pages: 433
  • Spine Width: 24 mm
  • Weight: 652 gr
  • ISBN-10: 8868803291
  • Publisher Date: 24 Jun 2024
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Building Enterprise-Grade Income Statement Models with Power Bi
  • Width: 156 mm


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