Chris Barber Barber Income Statement Semantic Models

Income Statement Semantic Models

von Chris Barber

Building Enterprise-Grade Income Statement Models with Power BI

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Beschreibung

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

 


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

 

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


A definitive guide on creating semantic models for the income statement Contextualizes financial performance with relevant non-financial data Teaches you how to use native Excel integration to navigate the income statement

Autor*in

Chris Barber

Themen in »Income Statement Semantic Models«

Power BI Income Statement Models Semantic Modeling Financial Performance Microsoft

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Details

ISBN: 9798868803307
Verlag: APRESS
Erscheinung: 28.08.2024

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