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Overview
To measure the financial performance of any company, it is important to analyze its four key financial statements: balance sheets, income statements, cash flow statements, and shareholders’ equity statements. In this assignment, you will:
Visually present the balance sheet to depict what each company owns and what it owes over the past three years.
Visually present the income statement to depict how much money a company made and spent over the past three years.
The visual presentation and analysis will help you understand and compare the performance of both the companies to be acquired and eventually will help you build your recommendation for the acquisition.
Prompt
Use the provided data sets of Company A and Company B to create data visualizations of their financial performance in Power BI. Then, based on the visualizations, write an executive summary interpreting the financial performance of Company A and Company B. Include screenshots from your data visualizations as needed in your summary. Follow the directions in the Power BI Executive Summary Assignment User Manual.
To complete this assignment, you will use Power BI software that is located within the virtual desktop infrastructure (VDI).
Specifically, you must address the following criteria:
Assets, Liability, and Equity: Summarize how the assets, liabilities, and owner’s equity have changed over three years for Company A and Company B. Include screenshots of your data visualization as follows:
Company A: In Power BI, use the provided Company A Financials and construct a set of three clustered column charts, representing:
The assets of Company A as represented in the data during each of the three years
The liabilities and owners’ equity over the same three years
Once the column charts are created, summarize the insights about how the assets, liability, and equity have changed over three years, as presented in the visualizations using Power BI
Company B: In Power BI, use the provided Company B Financials and construct a set of three clustered column charts, representing:
The assets of Company B as represented in the data during each of the three years
The liabilities and owners’ equity over the same three years
Once the column charts are created, summarize the insights about how the assets, liability, and equity have changed over three years, as presented in the visualizations using Power BI
Revenue and Earnings: Use the provided income statements to summarize the gross revenue and net earnings for Company A and Company B over three years. Include screenshots of your data visualization as follows:
Company A: In Power BI, use the provided Company A Financials document and construct a line chart illustrating the visual relationship of revenue, gross profit, total expenses, earnings before tax, net earnings, and taxes.
Company B: In Power BI, use the provided Company B Financials document and construct a line chart illustrating the visual relationship of revenue, gross profit, total expenses, earnings before tax, net earnings, and taxes.
Conclusion: Summarize your observations about the financial performance of both companies. Include any insights you may have about their performance trends or how they have performed compared to each other over the past three years.
What to Submit
Submit a 2- to 3-page Word document using double spacing, 12-point Times New Roman font, and one-inch margins. Sources should be cited according to APA style. Consult the Shapiro Library APA Style Guide for more information on citations.

I wrote according those feedback!  would you like to check according those feedback again and  correct if any thanks!
BACKGROUND
The opening of the background section effectively utilizes a statistical figure and examples to highlight the business problem. However, the introduction of the variables needs further clarification.
It appears your research aims to explore the impact of implementing sustainable packaging on company costs. In this scenario, the ideal independent variable (IV) would be categorical. It could represent a company’s decision to either implement sustainable packaging or not. Alternatively, if manipulation isn’t feasible and the variable is measured, you could consider using a measure like “amount of products sold by the company over years that uses sustainable packaging,” which would result in a numerical value. Unfortunately, the background section doesn’t provide a clear explanation of the IV, making it appear static and more like a constant term (“sustainable packaging”) rather than a variable with varying levels of implementation.
Similarly, the moderator variable (MOD) of “packaging regulations” requires more specificity. The current term is broad and lacks the characteristics of a variable. To improve this, you need to specify which and whose regulations you’re interested in. Are these regulations from a specific government or region? Additionally, clarify whether this variable will be measured or manipulated in your study.
RESEARCH QUESTIONS
The RQs must correctly phrased in terms of variables and relationships and identify the study’s unit of analysis. They are well-articulated.
ACADEMIC RELEVANCE
The logic behind your argument for the research gap is clear, but the current explanation could be strengthened. While you’ve included past studies to support your claims, they don’t quite pinpoint the specific gap you aim to address. Right now, your argument leans towards asserting that no prior research has explored the same factors as your study, but this lacks strong justification.
The one study you included that seems relevant to the gap you’re trying to establish highlights the exclusion of sales from their model. However, it’s important to note that your own model doesn’t incorporate this factor either.
MANAGERIAL RELEVANCE
The stakeholders who may benefit from the study must correctly identified. AND The description of how these stakeholders may benefit is concrete and well-articulated.
CONCEPTUAL FRAMEWORK
The CM must correctly visualized. AND Variable definitions are clear and based on high-quality references. AND The general thrust of the conceptual model is well-articulated.
MAIN-EFFECT HYPOTHESIS
The hypothesis is not phrased correctly since it remains vague what is the nature of the IV; categorical or continuous.
MODERATING HYPOTHESIS
There seems to be a discrepancy between the moderator variable (MOD) you’re currently discussing (strictness of government regulation) and the label used in the visualization. While the hypothesis itself and its justification appear sound, some key details regarding the nature of the moderator variable are missing.
The hypothesis seems to imply a continuous variable, but it’s unclear which specific government’s regulations you’re focusing on and how you plan to measure their “strictness.” Is there a pre-existing scoring system available, or will you develop your own method for measuring this concept?
The justification for your hypothesis doesn’t address this measurement issue. If you intend to gauge strictness through the perceptions of company managers, you’ll need to consider how to aggregate this data at the company level to avoid unit of analysis problems. Simply averaging individual perceptions might not be an appropriate approach.
RESEARCH STRATEGY
There is no proposed strategy. The explanation was only about the data type
OPERATIONALIZATION
All variables are correctly operationalized. All operationalizations are well-articulated.
CONSISTENCY
The same variable names must used consistently throughout the proposal. AND The arguments used throughout the proposal are consistent.

This is an organizational management paper. The paper is completed but it requires some fine-tuning to make it flow.