語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Income statement semantic models = b...
~
Barber, Chris.
FindBook
Google Book
Amazon
博客來
Income statement semantic models = building 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 models/ by 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.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Financial statements - Data processing. -
電子資源:
https://doi.org/10.1007/979-8-8688-0330-7
ISBN:
9798868803307
Income statement semantic models = building enterprise-grade income statement models with Power BI /
Barber, Chris.
Income statement semantic models
building 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
Standard No.: 10.1007/979-8-8688-0330-7doiSubjects--Uniform Titles:
Microsoft Power BI (Computer file)
Subjects--Topical Terms:
3753813
Financial statements
--Data processing.
LC Class. No.: HG4028.B2 / B37 2024
Dewey Class. No.: 658.1511
Income statement semantic models = building enterprise-grade income statement models with Power BI /
LDR
:03482nmm a22003375a 4500
001
2388629
003
DE-He213
005
20240829130234.0
006
m d
007
cr nn 008maaau
008
250916s2024 cau s 0 eng d
020
$a
9798868803307
$q
(electronic bk.)
020
$a
9798868803291
$q
(paper)
024
7
$a
10.1007/979-8-8688-0330-7
$2
doi
035
$a
979-8-8688-0330-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HG4028.B2
$b
B37 2024
072
7
$a
UMP
$2
bicssc
072
7
$a
COM051380
$2
bisacsh
072
7
$a
UMP
$2
thema
082
0 4
$a
658.1511
$2
23
090
$a
HG4028.B2
$b
B234 2024
100
1
$a
Barber, Chris.
$3
3753812
245
1 0
$a
Income statement semantic models
$h
[electronic resource] :
$b
building enterprise-grade income statement models with Power BI /
$c
by Chris Barber.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2024.
300
$a
xxxiii, 433 p. :
$b
ill., digital ;
$c
24 cm.
347
$a
text file
$b
PDF
$2
rda
505
0
$a
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.
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
630
0 0
$a
Microsoft Power BI (Computer file)
$3
3449087
650
0
$a
Financial statements
$x
Data processing.
$3
3753813
650
0
$a
Business forecasting.
$3
648526
650
0
$a
Business intelligence
$x
Computer programs.
$3
812285
650
0
$a
Business
$x
Data processing.
$3
527441
650
1 4
$a
Microsoft.
$3
3593799
650
2 4
$a
Business IT Infrastructure.
$3
2163249
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/979-8-8688-0330-7
950
$a
Professional and Applied Computing (SpringerNature-12059)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9499393
電子資源
11.線上閱覽_V
電子書
EB HG4028.B2 B37 2024
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入