Expert answer:Accounting Information system

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Supplemental Prep Assignment. This assignment requires students to complete training/research for
a selected course topic. Required Submission: Each student will be required to submit a write-up of
work completed. Write-ups must be properly prepared, formatted, and submitted in accordance with
instructions in the “Assignment Policies” documents posted on Blackboard. Write-ups must be
submitted to Blackboard before 10:00 AM on the submission deadline date indicated on the course
syllabus. Late, emailed, or hardcopy write-ups will NOT be accepted.
REQUIREMENTS
Synthesize an understanding of spreadsheet analytics functions and their relevance for risk
management. MS Excel is available in selected computer labs (see Blackboard). The following
resources have been posted to Blackboard or are available online.
•
•
Excel 2016 Training (n.d.). Atomic Learning. Available from https://www.atomiclearning.com.
Information Systems Audit and Control Association (ISACA) (2011). Data Analytics: A Practical
Approach. Rolling Meadows, IL: ISACA. Retrieved from www.isaca.org.
Note: Atomic Learning may be accessed via Blackboard (under the “Student Tools” button) or via the
website (http://www.atomiclearning.com/login/ut/, log on using Spartans Domain user ID and
password). Search for tutorials using the search box (search for “Excel 2016”) or drop-down menus.
Briefly respond to the following:
1. Data Analytics. Conduct research online to synthesize an understanding of data analytics.
a. Data Analytics. Define data analytics and explain its relevance to accounting/business practice.
Hint: Search for “data analytics”.
b. Data Analytics vs. Statistics. Discuss the difference between data analytics and statistics.
Which has greater significance for accounting/business practice? Explain. Hint: Search for
“data analytics vs. statistics”.
c. Data Analytics & Risk Management. Discuss the relevance of data analytics to risk
management (i.e., How might data analytics be utilized to support risk management
processes?). Hint: Search for “data analytics and risk management” or “IT risk analytics”.
2. Microsoft (MS) Excel Analytics Functions. Review MS Excel data analytics functions (statistical
analysis, charting).
a. MS Excel Atomic Learning Tutorials (statistics). Complete the Excel 2016 – Statistics
tutorials: A. Describing Data (required), B. Comparing Variables (required), C. Tests of
Significance (required), and D. Data Analysis ToolPak (required) module tutorials. List
modules completed and provide a brief synopsis what you learned within each module (Note:
You do not have to provide a synopsis of each individual tutorial video within each module).
b. MS Excel Atomic Learning Tutorials (charting). Complete Excel 2016 – Charting tutorials:
B. Overview of Charts (required), C. Chart Tabs and Ribbons (required), D. Format Your
Chart (required), E. Present Your Chart (required), F. Working with Sparklines (optional), and
G. New Chart Types (optional) module tutorials. List modules completed and provide a brief
synopsis what you learned within each module (Note: You do not have to provide a synopsis of
each individual tutorial video within each module).
3. Risk Assessment Tools. Conduct research on risk assessment tools.
a. Identify one MS Excel function/tool that may be used to support risk assessment. Explain how
Walters ACC 351 Supp Prep Assignment 1
the identified function/tool facilitates the risk assessment process.
b. Many professionals contend that spreadsheets such as MS Excel are inadequate tools for
contemporary risk assessment purposes. Research this issue online and discuss. Do you agree?
Explain. Hint: Search for “using spreadsheets for risk assessment” or “spreadsheet
inadequacies for risk assessment.”
c. Identify one alternative risk analysis software application/tool and carefully explain its use.
Hint: Search for “risk assessment software” or “risk assessment tools” or more specifically
“IT risk analytics software” or “IT risk analytics tools”.
Walters ACC 351 Supp Prep Assignment 2
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