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Income Statement Semantic Models: Building Enterprise Grade Income Statement Models with Power Bi
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(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
Lieferstatus: |
Vorankündigung |
Veröffentlichung: |
ANGEKÜNDIGT (November 2024)
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Genre: |
EDV / Informatik |
ISBN: |
9798868803291 |
EAN-Code:
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9798868803291 |
Verlag: |
Apress |
Einband: |
Kartoniert |
Sprache: |
English
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Seiten: |
190 |
Bewertung: |
Keine Bewertung vor Veröffentlichung möglich.
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Inhalt: |
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
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