Cost Accounting: With Integrated Data Analytics

Capa
John Wiley & Sons, 8 de fev. de 2022 - 880 páginas

Cost Accounting with Integrated Data Analytics takes the approach that you need to reach students in order to engage and effectively teach them to make meaning of costing concepts. Through storytelling, students develop a deeper understanding of cost accounting fundamentals, allowing them to apply their knowledge to modern business scenarios and develop the competencies and decision-making skills needed to become the future accounting professional.

Throughout Cost Accounting, students also work through a variety of data analysis applications that allow them to develop their decision-making skills within real-world contexts. Through assignments and integrated cases that leverage market-leading technology, students learn how to make informed business decisions and think critically about data.

 

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Conteúdo

Data Analytics Isnt
1-9
The Value Chain 115
1-16
Why You Should Learn
1-23
Refresher on Cost Terms
2-2
More Service Fewer
2-4
Cutting Corners
2-8
The Cost Object Direct Costs and Indirect Costs 214
2-14
Data Analytics Activities 435
2-17
Calculate All
55
Data Analytics Activities 1056
57
Data Analytics Activities 354
11-3
Correctly 114
11-11
Absorption versus Variable
11-52
Management DecisionMaking and Absorption Costing 126
6
Inventory Costs and Balance
13
Further Outcomes of Denominator Decisions 1220
20

Be Careful
2-20
Cost of Goods Sold 226
2-26
Data Analytics Activities 249
3-2
Account Analysis Method
3-33
Relevant Costs for the Decision
4-38
Insource versus Outsource
5-7
ProductMix Decisions 514
5-14
Special Orders 520
5-20
Mastering the Master Budget
5-46
Budgeting and Behavior Modification
6
Timelines
7
Price and Volume Variances 1026
10
Discount Rate
13
A Powerful Machine 717
35
Time Value of Money Tables 752
49
Job Costing Visualized
62
Scatter to Avoid
3
How Job Costing Is Organized
6
Calculating Applied Manufacturing Overhead 812
12
YearEnd Adjustments 822
22
Data Analytics Activities 851
37
ActivityBased Costing
52
Variance Analysis and Standard
46
Statement 612
6
The Purpose of Standard Costing 1011
11
Sales Price Variance
31
Market Size Variance
38
Variances 1015
40
Decisions
21
Data Analytics
40
Overview
2
Data Sources and Data Storage 137
7
Overview of Data Analytics Categories 1314
14
Prescriptive Analytics 1320
22
Types of Support Departments and Their
14-1
The Direct Method Illustrated 148
14-8
Comparing the Three Allocation Methods 1416
14-16
Allocating Revenue from Sales of Bundled Products
14-22
Data Analytics Activities 1434
14-35
Net Realizable Value NRV Method
15-5
More Fresh Options
15-11
The Art and Science of Pricing
15-34
Overview of the CostPlus Method 1610
16-10
Fair or Illegal? 1618
16-18
Data Analytics Activities 1633
16-25
Management Control Systems
16-36
Cost Centers 178
17-9
Return on Investment ROI and Its Components 1713
17-13
The Genesis of Transfer Pricing 1719
17-19
Management and Transfer Pricing 1727
17-27
Data Analytics Activities 1744
17-45
Using Data to Scout
7
Company Index
39
Review of Key Formulas KF1
53
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Sobre o autor (2022)

KAREN CONGO FARMER, MA, CPA, CA (CANADA)
Raised on a farm in southwestern Ontario, Canada, I learned from an early age the value of hospitality, music, seasons, finishing a job, and telling a good story.
McMaster University introduced me to a professor who inspired a love of accounting. She was authentic and warm—a role model for my future teaching. As an auditor at Ernst & Young, I earned my CPA designation and experienced business and networking firsthand. Next, I held a dual role at the beautiful Western University: Accountant by day in Financial Services, and accounting lecturer in the evening. Soon enough, I became a full-time lecturer. In addition, a 10+ year instructor role with CPA Ontario, preparing students for their professional exams, was pivotal to my development.

AMY J. FREDIN, PHD, CPA, CIA
My story begins in a small town in western Minnesota, where I grew up with music and sports, camping and boating, family time and fierce friendships. I studied music and accounting at the College of St. Benedict and from there worked in public accounting and obtained my CPA. I then went back to school for my MBA at St. Cloud State University. While completing that degree, I started teaching in the accounting program at Alexandria Technical College. It was there that my love for teaching began.
Five years later, my story moves to Nebraska, where I pursued a PhD in accounting at the University of Nebraska—Lincoln (go Big Red!). After I completed that degree, St. Cloud State invited me back, this time to join the Accounting Department as a faculty member. In my more than a dozen years so far at SCSU, I have enjoyed teaching, researching, working with students and colleagues, leading case discussions in executive training programs, and connecting with employers in the community.

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