Income statement semantic models with Power BI: 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&L) statement. Author Chris Barber-- a business intelligence (BI) consultant, Microsoft MVP, and chartered accountant (ACMA, CGMA)--helps you master everything from design...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
Apress
[2024]
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9798868803307/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on September 23, 2024) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9798868803307 |
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| 520 | |a 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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| spelling | Barber, Chris VerfasserIn aut Income statement semantic models with Power BI building enterprise-grade income statement models with Power BI Chris Barber New York, NY Apress [2024] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on September 23, 2024) 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. Microsoft Power BI (Computer file) Financial statements Data processing Business forecasting Business intelligence Computer programs Business Data processing Prévision commerciale Gestion ; Informatique 9798868803291 Erscheint auch als Druck-Ausgabe 9798868803291 |
| spellingShingle | Barber, Chris Income statement semantic models with Power BI building enterprise-grade income statement models with Power BI Microsoft Power BI (Computer file) Financial statements Data processing Business forecasting Business intelligence Computer programs Business Data processing Prévision commerciale Gestion ; Informatique |
| title | Income statement semantic models with Power BI building enterprise-grade income statement models with Power BI |
| title_auth | Income statement semantic models with Power BI building enterprise-grade income statement models with Power BI |
| title_exact_search | Income statement semantic models with Power BI building enterprise-grade income statement models with Power BI |
| title_full | Income statement semantic models with Power BI building enterprise-grade income statement models with Power BI Chris Barber |
| title_fullStr | Income statement semantic models with Power BI building enterprise-grade income statement models with Power BI Chris Barber |
| title_full_unstemmed | Income statement semantic models with Power BI building enterprise-grade income statement models with Power BI Chris Barber |
| title_short | Income statement semantic models with Power BI |
| title_sort | income statement semantic models with power bi building enterprise grade income statement models with power bi |
| title_sub | building enterprise-grade income statement models with Power BI |
| topic | Microsoft Power BI (Computer file) Financial statements Data processing Business forecasting Business intelligence Computer programs Business Data processing Prévision commerciale Gestion ; Informatique |
| topic_facet | Microsoft Power BI (Computer file) Financial statements Data processing Business forecasting Business intelligence Computer programs Business Data processing Prévision commerciale Gestion ; Informatique |
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