Isbn: 9798868803291 - income statement semantic models: building enterprise-grade income statement models with power bi (14 resultados)

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 LearnModeling and the income statement: Learn what modelling the income statement entails, why it is important, and how income statements are constructedCalculating account balances: Learn how to optimally calculate account balances using a Star SchemaProducing external income statement semantic models: Learn how to produce external income statement semantic models as theyenable income statements to be analyzed from a range of perspectives and can be explored to reveal the underlying accounts and journal entriesProducing 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 considerationsWho This Book Is ForTechnical 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 438 pp. Englisch. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 LearnModeling and the income statement: Learn what modelling the income statement entails, why it is important, and how income statements are constructedCalculating account balances: Learn how to optimally calculate account balances using a Star SchemaProducing external income statement semantic models: Learn how to produce external income statement semantic models as theyenable income statements to be analyzed from a range of perspectives and can be explored to reveal the underlying accounts and journal entriesProducing 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 considerationsWho This Book Is ForTechnical 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. …

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 LearnModeling and the income statement: Learn what modelling the income statement entails, why it is important, and how income statements are constructedCalculating account balances: Learn how to optimally calculate account balances using a Star SchemaProducing 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 entriesProducing 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 considerationsWho This Book Is ForTechnical 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 builtSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 468 pp. Englisch. …