Income Statement Semantic Models
eBook Details:
- Paperback: 466 pages
- Publisher: WOW! eBook (August 29, 2024)
- Language: English
- ISBN-10: 8868803291
- ISBN-13: 978-8868803291
eBook Description:
Income Statement Semantic Models: Building Enterprise-Grade Income Statement Models with Power BI
This Income Statement Semantic Models: Building Enterprise-Grade Income Statement Models with Power BI comprehensive guide will teach you how to build an income statement semantic model, also known as the profit and loss (P&L) statement.
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
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 Income Statement Semantic Models book is the resource you need.
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