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Income statement semantic modelsbuil...

Barber, Chris.

Income statement semantic modelsbuilding enterprise-grade income statement models with Power BI /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Income statement semantic modelsby Chris Barber.
其他題名:	building enterprise-grade income statement models with Power BI /
作者:	Barber, Chris.
出版者:	Berkeley, CA :Apress :2024.
面頁冊數:	xxxiii, 433 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Financial statementsData processing.
電子資源:	https://doi.org/10.1007/979-8-8688-0330-7
ISBN:	9798868803307$q(electronic bk.)

Income statement semantic modelsbuilding enterprise-grade income statement models with Power BI /
Barber, Chris.

Income statement semantic modelsbuilding enterprise-grade income statement models with Power BI /[electronic resource] :by Chris Barber. - Berkeley, CA :Apress :2024. - xxxiii, 433 p. :ill., digital ;24 cm.

Part I: Modelling and the Income Statement -- Chapter 1: What is an income statement semantic model? -- Chapter 2: How to Construct an Income Statement -- Chapter 3: Building a Reusable Solution -- Chapter 4: Why model the income statement? -- Part II: Calculating Account Balances - Chapter 5: Conceptual Account Balance Models -- Chapter 6: Logical Account Balance Models -- Chapter 7: The Trial Balance Semantic Model -- Chapter 8: A Journal Entry Semantic Model -- Part III: Producing External Income Statement Semantic Models -- Chapter 9: The Four Subtotal and Subset Types -- Chapter 10: External Reporting Logical Models -- Chapter 11: External Reporting Semantic Models -- Part IV: Producing Internal Income Statement Sematic Models -- Chapter 12: Internal Reporting Logical Models -- Chapter 13: Internal Reporting Semantic Models -- Chapter 14: Security and Self-service Considerations -- Chapter 15: Review of the Sixteen Challenges.

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

ISBN: 9798868803307$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-0330-7doiSubjects--Uniform Titles:

Microsoft Power BI (Computer file)
Subjects--Topical Terms:

981318
Financial statements
--Data processing.

LC Class. No.: HG4028.B2 / B37 2024

Dewey Class. No.: 658.1511

Income statement semantic modelsbuilding enterprise-grade income statement models with Power BI /
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