In the fierce competition in the automotive industry, why is Li Auto Incorporated still at the forefront?? My individual report should be focused on Balance Sheet. According to the bal
please follow the guidelines below.
The main problem for our group is: In the fierce competition in the automotive industry, why is Li Auto Incorporated still at the forefront?
My individual report should be focused on Balance Sheet. According to the balance sheet, the relevant questions are raised and analyzed by four analytical methods.
The ppt about the four analysis methods is attached below.
Group Project Report
To show proficiency and understanding of data analytics techniques, student teams will evaluate
data using the AMPS model, perform analysis, develop meaningful dashboards, and create a
formal presentation demonstrating the process and results to the class.
Each group will be responsible to look for its own case for in-depth analysis. Your team will
take on a role, such as the data analyst/auditor/business analyst, hired to provide
recommendations to an intended audience, such as the management team of a
business/organization, on an accounting, finance, or other business-related issue. A thorough
individual report is required. The report should not be more than eight pages (excluding cover
page, tables, graphs, appendix and references, if any), typed, double spaced, 10 to 12 pitch with
one-inch margins. You should cite at least one academic paper and one news article. Citation
format should follow American Psychological Association 7th edition. Final individual project
report is due two days after the presentation date (lecture 12/13). PPTs of the group
presentation are due two days before the scheduled presentation date. You should submit
the individual report through Turnitin on Blackboard (3 attempts). The similarity score has to
less than 15%. If using ChatGPT or other AI tools, please note where you use it and how you use
it in the Appendix (including the prompts and answers). (10 points)
Your report should follow the following framework.
1. Background Overview (5 points):
Summarize key facts about the business/organization. Describe key factors that affect
the organization’s performance as a profit-maximizing entity. If relevant, describe
important current events affecting the organization that might give rise to the issue.
State the role of your team, your client or audience, and the goal you want to achieve
through the project, or the big picture problem you are trying to address. Discuss why
addressing this issue is important to your organization. Your group can use the same
background but should use your own words to avoid plagiarism.
2. Ask the Question (10 points):
Your group should provide the problem statement (main question) to address the
issue of your choice. The other sub-questions should be helping you to address the
main question. These questions can be “What happened?” “Why it is happening?”
“What will happen in the future” “Given what will happen in the future, what should
we do now to optimize the performance?”
3. Master the Data (10 points):
a. Explain where and how you retrieve the data. You can use public data sources or
proprietary data sources.1 Otherwise, submit your original database. Consider data
sources discussed in Chapter 2. You only need to describe the data you will use in
your analysis.
1 If you use proprietary data sources, you need to share the original data with the instructor.
b. Explain how you have prepared the data
i. Clean it as needed to prepare for analysis
ii. Make sure data is loaded completely
iii. Make sure data doesn’t have missing information
c. Discuss any data quality issues in your dataset d. Must have calculated fields
e. Transform at least one non-numeric data into numeric data
f. Create at least one additional attribute
4. Perform the Analysis (40 points):
a. All 4 types of analytics (descriptive, diagnostic, predictive, and prescriptive).
b. Explain the rationales for each analytics. For example, the reasons for selecting
variables as independent variables in the regression.
c. Discuss any unexpected results and the reason for the unexpected results.
d. Discuss the main limitations of your analyses
5. Share the Story (25 points):
a. There should be at least 2 graphs/dashboards using Power BI, Tableau or Excel.
b. Concisely describe the recommended course of action and how your analyses provide
the main support for your recommendation.
Group Project Presentation:
Each group will have 18 minutes to present the case and 5 minutes for the Q&A section. The
PPT should not be more than 15 slides. Individual presentation skills (such as not reading from
notes, eye contacts with the audience, and how well you respond to questions raised by your
audience or instructor) will also be assessed and graded. All members MUST participate in
presentation. The dress code is business attire.
We will use role play format to do the presentation. Another team will be selected on the day of
presentation to be the intended audience, who needs to ask at least 3 meaningful questions during
the Q&A section. Students are expected to think from the perspective of the intended audience
and ask questions to the presenters. The qualified question(s) will count toward your class
participation points for the group.
,
Because learning changes everything.®
Chapter 9: Perform the Analysis:
Prescriptive Analytics
Introduction to Data Analytics for
Accounting, 2e
Richardson | Terrell | Teeter
© McGraw Hill LLC. All rights reserved. No reproduction or distribution without the prior written consent of McGraw Hill LLC.
© McGraw Hill LLC.
Learning Objectives
9-1 Describe prescriptive analytics and how it relates to other
types of analytics.
9-2 Demonstrate the use of marginal/incremental analysis.
9-3 Analyze future cash flows using accounting rate of return,
payback, net present value, and internal rate of return calculations.
9-4 Describe how goal seek functions are used for prescriptive
analytics.
9-5 Describe the use of scenario analysis.
9-6 Explain how sensitivity analysis helps evaluate outcomes
based on inputs.
9-7 Define optimization and explain why it fits as a prescriptive
analytics technique.
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The A M P S Model
In the A M P S cycle, we’re now
going to continue to perform
the analysis. This time, we will
look at using prescriptive
analytics.
Exhibit 9.1 The A M P S Model
Access the text alternative for slide images.
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Learning Objective 9-1
Defining Prescriptive Analytics
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Definition of Prescriptive Analytics
Prescriptive analytics as analysis performed which
identifies the best possible options given constraints or
changing conditions. Some would call this an optimization.
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Prescriptive analytics is useful to identify option given constraints.
What type of constraints
might a company face?
• Firms don’t receive
unlimited capital
resources, so they must
optimize based on the
resources they have
available.
What type of changing
conditions might a
company face?
• Consumer preferences, tax
laws, interest rates, levels
of risk, exchange rates,
demand for employees and
their expertise, etc.
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What is the difference between predictive and prescriptive analytics?
While both predictive and prescriptive analytics forecast
future outcomes, prescriptive analytics goes a step further
and helps to make specific recommendations for
management to consider based on what they expect will
happen.
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Prescriptive analytics can guide decisions
• Sensitivity Analysis.
• Evaluating Future Cash
Flows Using Various
Analysis Techniques.
• Marginal (or Incremental)
Analysis.
• Goal Seek Analysis.
• Scenario Analysis.
• Optimization.
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Types of Prescriptive Analytics
Exhibit 9.2 Circumplex of Types of Data Analytics
Access the text alternative for slide images.
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Learning Objective 9-2
Marginal (or Incremental) Analysis
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What is marginal analysis?
Marginal analysis is an examination of the associated cost or
benefit of very specific business decisions.
Marginal analysis typically refers to the cost or benefit of
the next (or the marginal) unit.
Marginal analysis can be applied using financial modeling,
which is a representation, or model, of the financial outcomes
resulting from a decision or future event.
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Marginal analysis is useful for management decisions. 1
Manufacturer decision:
Should the manufacturer
expand their operations by
adding new product lines or
increasing the volume of
what they currently produce?
Audi is trying to decide
whether to manufacture more
of their current lineup of cars
with gasoline engines or
invest more in electric cars.
They will use marginal
analysis to help decide the
financial and other
implications of their decision.
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Marginal analysis is useful for management decisions. 2
Manufacturer decision:
Whether to sell additional
units to a customer at a
reduced price.
A E R T makes plastic/wood
composite decking materials
out of recycled materials.
They have an opportunity to
sell an additional 20,000 10-
foot deck boards for $8 to
Sully’s, well below the usual
retail price of $12, but above
the variable cost of $6.
Should it sell the product to
Sully’s for this reduced
price? Will A E R T only do it if
they have excess product at
the end of the season, so
they won’t have to pay to
store the decking until next
year? What other
considerations should A E R T
evaluate?
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Marginal analysis is useful for personal decisions. 1
Personal decision: Kris
Allee recently lost his job.
Since he is uncertain how
long it will take to get a new
job, he is trying to decide
whether to go back to school
to get his M B A.
What is the cost of getting an
M B A? If Kris gets a
scholarship and can’t find
another job, then his
opportunity cost (next best
alternative) is near zero.
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Marginal analysis is useful for personal decisions. 2
Q. Define marginal analysis. Let’s suppose an auditor
has the choice to accept one more audit client, which
may constrain resources for other audit clients. What
should be included in this marginal analysis?
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Make or Buy: Making Outsourcing Decisions
Make-or-buy analysis is a technique used to analyze and
address the question whether to manufacture a product in
house or to purchase it (or outsource it externally).
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Make or Buy: Should Apple Outsource the iPhone? 1
• How does the variable cost per unit compare to the price offered by the
outsourcer?
• If Apple can make a longer-term decision to outsource, can they
ultimately get rid of some fixed costs? What happened with past
outsourcing decisions at the company with respect to fixed costs?
• If Apple doesn’t manufacture its own products, does it have other
promising projects to pursue with its freed capacity, preferably projects
that are consistent with Apple’s core competency?
• Should Apple engage multiple companies as outsourcing partners
rather than just one (FoxConn)? What happens if FoxConn faces
political issues (such as accusation of the use of child laborers or poor
working conditions)? What would happen to Apple iPhones?
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Make or Buy: Should Apple Outsource the iPhone? 2
How can prescriptive data analysis help with this make-or-
buy decision?
Sensitivity Analysis
Look at impact of reducing the company’s fixed costs by
25%, 50%, or 75%.
Scenario Analysis and Financial Modeling
Model the alternative use of excess capacity and the
profitability increased profit/margins of new products.
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Make or Buy: Should Apple Outsource the iPhone? 3
Q: Let’s suppose General Motors wants to buy engines
from Toyota instead of making them for itself. What
would General Motors consider when evaluating this
option besides just fixed and variable costs?
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Learning Objective 9-3
Cash Flow Analysis
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What is the objective of financial accounting?
An objective of financial
accounting is to help
investors, creditors, and
other users assess the
amounts, timing, and
uncertainty of
prospective cash
receipts.
Amounts – How much cash will
be given up (invested) or received
from a company initiative?
Timing – In what time period
(month, quarter or year) will each
cash flow be given up (invested)
or received?
Uncertainty – How likely or
unlikely are we to receive this
cash flow? What is the risk that
the actual cash flow we receive is
greater than what was forecasted?
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What is the accounting rate of return (A R R)?
The accounting rate of return (A R R) is the percentage rate of
return expected on an asset. It compares profit to the initial
investment cost.
If $1,000 investment gives us an average of $100 in profit
each year, the A R R would be $100/$1,000 = 10%.
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What is the payback period?
The payback period is the
length of time required to
earn back the amount of
the initial investment.
For example, if an initial $1,000
investment returns $100, $300,
and $600 in profits the first 3
years following the investment,
the payback period would be 3
years.
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What is the net present value?
Net Present Value (N P V)
is the present value of the
cash inflows less the
present value of the cash
outflows.
Assume you have a new
piece of equipment that is
expected to cost $200,000
up front (at time 0) and
returns $150,000 per year
for three years. Assume a
cost of capital (the cost of
borrowing money for the
company), or the discount
rate is 10%.
In the following table, read ‘1.100’ as
1.10 to the zero power; ‘1.101’ as 1.10 to
the first power; ‘1.102’ as 1.10 squared;
‘1.103’ as 1.10 cubed;
Year 0 Present value=−$200,000/(1.100) =−$200,000
Year 1 Present value = $150,000/(1.101) = $136,364
Year 2 Present value = $150,000/(1.102) = $123,967
Year 3 Present value = $150,000/(1.103) = $112,697
Sum of Present Values, or N P V $173,028
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© McGraw Hill LLC.
What is the internal rate of return?
The Internal Rate of Return
(I R R) is the discount rate
that makes the project’s net
present value equal to
zero, or the rate of return
where the present value of
cash outflows is exactly
equal to the present value
of the cash inflows.
Exhibit 9.11 Evaluating Potential
Investments Using Internal Rate of Return
Access the text alternative for slide images.
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Use Excel to calculate the Net Present Value and Internal Rate of Return. 1
Use the = N P V() function to compute net present value.
Use the = I R R() function to compute internal rate of return.
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Use Excel to calculate the Net Present Value and Internal Rate of Return. 2
Q: When starting a new job, how would you evaluate
your salary options (salary, stock options, etc.) using net
present value analysis? Would you take the stock
options in addition to your salary or just take pure
salary?
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Learning Objective 9-4
Goal Seek Analysis
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What is goal seek analysis?
Goal seek analysis is a form of what-if analysis that tells us
what input will be needed or what will need to be done (or
assumed) in order to reach a desired outcome, output or
result.
Goal seek analysis is the ability to calculate backwards to
understand the input needed to achieve a certain output.
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Goal seek analysis relies on changing inputs to determine desired outputs. 1
Exhibit 9.17 Examples of Goal Seek Analysis in Accounting and Business
Goal-Seek Examples Desired Output Changing Inputs
Maximum mortgage loan you can
afford given a certain monthly
payment
$1,200 monthly payment Maximum amount of mortgage
loan
The minimum needed level of
sales to achieve breakeven
Breakeven = no profit where total
expenses are exactly equal to total
revenues
Minimum level of sales needed
Minimum performance on the final
exam to get a certain grade in this
Accounting Analytics course
An “A” as a final grade in your
Accounting Analytics class!
Minimum needed grade on the
final exam.
The minimum employees needed
to carry out timely audits for all
clients
Adequate resources to complete a
timely audit
Minimum number of employees
needed
The minimum hours needed to
pass all parts of the C P A Exam
Pass all parts of the C P A exam in
one sitting with a 75% passing
score
Minimal number of hours of study,
assuming each hour studying
increases the probability of
passing by about 2%
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Goal seek analysis relies on changing inputs to determine desired outputs. 2
Q: Framing your grade in this course as a goal seek
analysis, what is your desired output in the course
(which grade do you desire—an A, B, C, or D, etc.)? What
inputs will be required to get the desired output?
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Learning Objective 9-5
Scenario Analysis
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What is Scenario Analysis?
Scenario Analysis is the process of analyzing future events
by considering potential outcomes.
Scenario Analysis does not try to predict one possible
outcome, but rather it presents a range of alternative
outcomes.
While it considers a range of outcomes, it also computes the
expected overall impact on the company based on the joint
probability of multiple events on the company.
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Scenario Analysis might be used to determine impact of tax law.
Assume the Arkansas General Assembly is debating a
reduction in the corporate income tax rate from 8 percent to
either 6 percent or 4 percent.
At the same time, a company might have a potential 5
percent increase in taxable income, might stay neutral
(taxable income remains the same), or might have a potential
5 percent decrease in taxable income.
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Scenario Analysis: What Happens If Tax Rates Change? 1
Exhibit 9.18 Taxable Income and Taxes Owed, Based on Average
Earnings before Tax of $2,000,000
Income Scenarios Taxable
Income
8% Tax
Rate
6% Tax
Rate
4% Tax
Rate
Income Increases by 5% 2,100,000 168,000 126,000 84,000
Income Remains the Same 2,000,000 160,000 120,000 80,000
Income Decreases by 5% 1,900,000 152,000 114,000 76,000
This matrix shows the taxable income under each of the income
scenarios and the taxes owed under each potential tax rate.
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Scenario Analysis: What Happens If Tax Rates Change? 2
Exhibit 9.19 The Change in Income Based on the Different Taxable
Income and Tax Rate Scenarios (Negative values represent tax
savings.)
Income Scenarios Taxable
Income
8% Tax
Rate
6% Tax
Rate
4% Tax
Rate
Income Increases by 5% 2,100,000 8,000 (34,000) (76,000)
Income Remains the Same 2,000,000 (40,000) (80,000)
Income Decreases by 5% 1,900,000 (8,000) (46,000) (84,000)
This matrix shows the taxable income under each of the income
scenarios and the net tax increase/(decrease) under each potential tax
rate.
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Scenario Analysis: What Happens If Tax Rates Change? 3
Exhibit 9.20 Joint Probabilities of Changes in Tax Rate and Change
in Taxable Income
Income Scenarios Taxable Income 8% Tax
Rate </p
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