Category: Data Analytics

For my research there are some teachers comments for the methodology and analysis. those comments are at the last page of the report in red color letters. I want you to rectify those errors and rewrite methodology and analysis chapter. I have attached sample report given by teacher as well.
Analysis should do by STATA… you are free to change hypothesis used by me and do necessary changes.

Purpose
The purpose of this assignment is to help you relate current information about accounting information systems with the information presented in the text. A second purpose is to give you experience identifying good sources for this type of information and identifying information considered important by the accounting profession. Finally, this will also give you practice in using Generative AI and seeing both its benefits and its limitations. As a suggestion, you may want to start with the Journal of Accountancy: https://www.journalofaccountancy.com/topics/techno…. Try at least two more sources until you find one that you really like and could see yourself reading after graduation.
Task
List 2 other sources you looked at besides the Journal of Accountancy (provide links to the 2 sources if available)
Post a summary of the article, your assessment of why this topic is important, and a link to an article, and how it relates to a specific textbook chapter. Be sure to include the chapter title and your source in your post.
Select a Generative AI such as ChatGPT or Microsoft Copilot and use different prompts to achieve an article similar to the one you produced. Include the prompts that you tried and the one you settled on. You should try to achieve a similar structure (2 paragraphs) and length as your analysis.
Copy and paste the article (how to cite AI generated content): https://dal.ca.libguides.com/CitationStyleGuide/ci…. (Take the challenge and get the AI to provide its own content citation).
Discuss the differences between your work and the AI’s.
Finally, based on this experience, give some ways that you might incorporate AI in your future class/professional work.
What to turn in
Here is a sample framework for the assignment. This is not a required structure, merely a suggestion for incorporating all of the elements.
“I looked at several articles in the Journal of Accountancy using keywords such as information systems, computer technology, and automated control. I also looked at articles in [source 2] and [source 3]. Source 2 was targeted more so to academic researchers. Source 3 was similar to the Journal of Accountancy but its coverage of information systems was not accounting specific. In the end, I chose [article X] from the [Journal of Accountancy, source 2, or source 3; whichever you used]. This article covers [topic x] and is most closely related to [textbook chapter number and title].
One paragraph summary.
One paragraph analysis including why it topic is important to accounting and/or information systems professionals. (Including a citation that confirms your opinion would strengthen your case.)
“I used several prompts with [generative AI x] and eventually settled on the following prompt”
My prompt
“Overall, the AI did a good job of summarizing the topic” The key differences I noticed between my summary and the AI’s are…]” I think in the future, I might use AI to…”
Table of Contents (course textbook)
PART ONE: AIS and the Business
Chap 1. Accounting Information Systems and Firm Value
Chap 2. Accountants as Business Analysts
Chap 3. Data Modeling
Chap 4. Relational Databases and Enterprise Systems
PART TWO: Business Processes
Chap 5. Sales and Collections Business Process
Chap 6. Purchase and Payments Business Process
Chap 7. Conversion Business Process
Chap 8. Integrated Project
Chap 9. Reporting Processes and eXtensible Business Reporting Language (XBRL)
PART THREE: Data Analytics and Emerging Technologies in AIS
Chap 10. Data Analytics in Accounting: Concepts and the AMPS Model
Chap 11. Data Analytics in Accounting Information: Tools and Practice
Chap 12. Emerging Technologies: Blockchain and AI Automation
PART FOUR: AIS Development and Management
Chap 13 Accounting Information Systems and Internal Controls
Chap 14. Information Security and Computer Fraud
Chap 15. Monitoring and Auditing AIS
PART FIVE: Optional AIS Topics
Chap 16. The Balanced Scorecard, Business Model Canvas, and Business Value of Information Technology
Chap 17. Evaluating AIS Investments
Chap 18. The Systems Development Life Cycle and Project Management: Addressing the Challenges of Building AIS Systems
This assignment should not take more than 30 minutes to be completed.
PLEASE NOTE THAT IF THE ANSWER IS NOT SATISFACTORY, I WILL ISSUE A REFUND! THEREFORE I HIGHLY ADVISE YOU TO PUT ACTUAL EFFORT IN THE ASSIGNMENT.

For my research there are some teachers comments for the methodology and analysis. those comments are at the last page of the report in red color letters. I want you to rectify those errors and rewrite methodology and analysis chapter. I have attached sample report given by teacher as well.
Analysis should do by STATA… you are free to change hypothesis used by me and do necessary changes.

Two Delivarables: a SQL file and the Word document with the answers.
All the files needed are attached to the question.
This HW consists of two parts. The view-indexing part consists of a starter file (ViewIndexHWStart.sql); run this file in Oracle. It creates tables and inserts data. Once this has been run, then carry out the steps of the HW. The deliverable for this part is a sql file (not only the starter script, but your code for creating views and indexes). Turn this in on BB. There is one question that is not SQL–you may put it in your SQL file (commented out), or just write the answer on the Word document HW file.
The second part of the HW is normalization. All of the answers for this part is type written on the HW document. There is no SQL involved. Given this, you may also include the one question on indexing that is typewritten, since you have to return normalization answers in this way. You may return the Word document itself (with the answers, of course)
Two Delivarables: a SQL file and the Word document with the answers. (the SQL code is in the text file)
All the files needed are attached to the question.
DONT USE CHATGPT OR OTHER AI TO DO SO! THEY HAVE AI DETECTORS.

Two Delivarables: a SQL file and the Word document with the answers.
All the files needed are attached to the question.
This HW consists of two parts. The view-indexing part consists of a starter file (ViewIndexHWStart.sql); run this file in Oracle. It creates tables and inserts data. Once this has been run, then carry out the steps of the HW. The deliverable for this part is a sql file (not only the starter script, but your code for creating views and indexes). Turn this in on BB. There is one question that is not SQL–you may put it in your SQL file (commented out), or just write the answer on the Word document HW file.
The second part of the HW is normalization. All of the answers for this part is type written on the HW document. There is no SQL involved. Given this, you may also include the one question on indexing that is typewritten, since you have to return normalization answers in this way. You may return the Word document itself (with the answers, of course)
Two Delivarables: a SQL file and the Word document with the answers. (the SQL code is in the text file)
All the files needed are attached to the question.
DONT USE CHATGPT OR OTHER AI TO DO SO! THEY HAVE AI DETECTORS.

I have attached several documents:
1. The raw data from the recent CBA in Ziah Town twice: one data set which shows answers as texts and a second data set that shows answers as numeric values where possible (all except questions with text entries). The numeric values file is probably what you’ll need for your class but I wanted to give you all the options. Feel free to ignore any text entry questions – those will be coded separately.
2. The CBA for Zwedru (same questions, just different options for communities/zones) and the codebook for Zwedru to orient yourself (we do not yet have one for Ziah Town but it’s basically the same).
3. The results from the Karnplay CBA so you can see what statistical analysis we did for a previous CBA. We made changes after that CBA (changed 3-point scale to 5-point scale and added/removed some questions), but this document should give you a pretty good idea on the type of analysis we do/need.

Instructions
Keeping information from previous steps in mind (see attached), use the information to write a summary memo to the Executive team.
Prepare 3-5 slides to be used in connection with the summary memo.

Required:
Compute descriptive statistics for the three financial investments from 1928 to 2021.
Compute the Sharpe ratio for excess returns.
Data: Lab 9-1 Data.xlsx
Specify the Question: What are the descriptive statistics for the returns to various financial investments? What are the risks relative to the returns for various financial instruments as measured by the Sharpe ratio?
Obtain the Data: The reported results of financial performance are included in the dataset for three different investments.
Analyze the Data: Refer to lab 9.1 in your text for additional instructions and steps.
Part 1: Upload one Word or PDF document containing all of your screenshots for this Lab using the button below.
Note: Please submit your file attachment response in one of the approved file formats; Word file (.doc or .docx), Excel file (.xls or .xlsx), or PDF. To submit photo or image files please paste them into Word or PDF. Consult with your instructor as needed on their preferred file attachment format.
Take a screenshot of your summary statistics, paste it into a Word document named “Lab 9.1 Excel Submission.docx”, and label the screenshot Submission 1.
Take a screenshot of Sharpe ratio computation, paste it into the same Word document, and label the screenshot Submission 2. Part 2(See attached) Part 3.
If riskiness is measured by the standard deviation of returns, which is the riskiest investment: stocks, corporate bonds, or Treasury bonds? Why?
Why do investors who take on more risk require a greater return?

Question 3. Everyone needs to eat! In this exercise, I challenge you to scrutinize the process followed the last time you ordered something to eat at a walk-up counter, food truck, or drive-thru.
Briefly explain the situation (Where are you? What’s for lunch/dinner/coffee?)
Sketch out the process at a high level using the Process Modeling Library blocks.
Define the Process Modeling Library blocks used in terms of how they work and any properties modified for their performance.
Run the simulation experiment for at least two hours and track the number of individuals processed at each step of the model.
Change the random seed to 5 and report whether the number of individuals processed at each step of the model is different or the same, and why you think that’s the case.
Develop a process-centric model in AnyLogic
Selected blocks illustrate a medium-to-high level abstraction model (10 pts)
Model successfully runs and runs for 2 hours of simulated time (15 pts)
Turn-in:
Medium-to-high level of abstraction model in .alp format (25 pts)
Note: eCampus will only allow you to submit one file per question, submit your model (.alp file) here.

Please see the ATTACHED instructions regarding assignment.
Require HIGH QUALITY work.
Outline of 1 page describing all the work, ideas, nature, theories, strategy of the assignment to be submitted April 22: 10am central time. Instructor will provide a feedback on the topic then we move on from there.
Rough draft require by April 24 9pm central time of the assignment.
Topic chosen has to be excluded from the following textbook…
Sharda, R., Delen, D., Turban, E. Business Intelligence, Analytics, and Data Science: A Managerial Perspective Fourth Edition. Pearson, 2019. ISBN-10: 0-13-463328-8 | ISBN-13: 978-0-13-463328-
Additional topics to be excluded which are covered in class…Some include…
1. Big Data, 2. Future Trends; Privacy and Managerial Considerations in Analytics, 3. IoT, 4. Privacy and Securiy, 5. AI in HR hiring, 6. Text, Web and Social Media Analytics, 7. Descriptive Analytics; Business Intelligence and Data Warehouse, 8. Predictive Analysis; Data Mining Process methods and algorithms, 9. Controversial technologies
You can choose topic like.. Financial Fraud Detection&Fraud Detection in
Insurance Claims