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Income Statement Semantic Models: Building Enterprise-Grade Income Statement Models with Power BI PDF

445 Pages·2024·32 MB·English
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by Chris Barber| 2024| 445 pages| 32| English

About Income Statement Semantic Models: Building Enterprise-Grade Income Statement Models with Power BI

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

Detailed Information

Author:Chris Barber
Publication Year:2024
ISBN:9798868803291
Pages:445
Language:English
File Size:32
Format:PDF
Price:FREE
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