Exam 3 - Section 2 Flashcards
What are the three main purposes, governments and agencies spend money?
- Current operations (benefits people who are currently receiving services)
- Capital outlays (benefits people receiving services now and in the future)
- Debt service (benefits people receiving services in the past, now, and in the future)
Why is it beneficial to know if the benefits in the future in the future will be worth the amounts they are to be spent today?
- Obtaining these benefits could require a large expenditure of funds
- Expenditures don’t occur regularly so they require deliberations.
- Expenditures commit agencies and government to a long-term course of action
— retirement and debt require a large amount of payments in the future so they need to know if that money will be available
What is time value money? And when is it useful?
- Comparing the value of money at various points in time
- useful in knowing what future benefits will be worth and the availability of sufficient funds
What are two types of time value analysis?
- Present value analysis.
- Future value analysis.
What is present value analysis?
The dollar value of a future cost or income stream, calculated as of a certain date and time interval.
When is present value analysis used?
- Do you what a dollar received or saved in the future is worth today.
- Used when making expenditure, investment, and other financial decisions
- To determine the amount that needs invested today in order to have sufficient funds to make a deferred payment in the future
- example: if you owed someone $200,000 in the future, how much would you need to invest today?
What is future value analysis?
Reflects the future value of a current expenditure or investment based on an assumed rate of growth
(a dollar invested today will be worth more in the future)
What is the present value analysis formula?
P = F/(1 + r)n
P— principal that can be invested today
F— future value the investment will return
r— investment rate/discount rate/opportunity rate
n— number of years until the benefit is received
Who selects the present value analysis interest rate?
- Agency based on what type of rate they want to make on the investment
What are the three components of a present value analysis interest-rate?
- Inflation (reflects the loss in value from one year to the next)
- Enterprise (reflects the inherent uncertainties for owning an enterprise)
- Unique (covers any unidentifiable uncertainties that may occur from civil unrest, market imperfections, solvency)
When can future value analysis be performed?
To compare investment type expenditures and determine which one is more favorable
What is the future value analysis formula
F = P(1 + r)n
F— future value the investment will return
P— principle that is to be invested today
r— interest rate/discount rate/opportunity rate
n— number of years until the benefit is received
Time value formulas are only a starting point when considering an investment. What are some other things to be considered?
- availability of funding
- impact of rules and regulations
- likelihood of changing technology
- capacity to the provide good/services
- projected operating costs
What is payback analysis?
- A more simpler technique than the time value analysis techniques
- how long will it take to recover the amount invested in a new capital asset or project
How is payback analysis calculated?
Cash or savings received in the current year are considered the same amount of cash or savings received in later years
How is payback analysis assessed/evaluated?
Investment projects that have a quick pay back are less risky than those that have a slow payback
What is flowcharting?
A technique that can be used to obtain or convey an understanding of the process
When is flowcharting used?
- Business process reengineering (BPR) to obtain an understanding how the process functions
- To document the cycles used to process accounting data in order to determine the adequacy of the internal controls
What are the three different levels of flow charting that could be developed?
- High-level (to obtain or provide an overall understanding of the process)
- Mid-level (to obtain a provide an understanding of the steps involved in the process— identify and assess internal controls)
- Low level (guide the automation of a process)
What are the basic symbols in a process?
- Circle - represents the start of a process
- Rectangle - represents a step in the process
- Diamond - represent a decision in the process.
- Crooked square - represents a document in the process.
What is Earned Value Management (EVM)? When should it be used?
What does EVM consider?
- A technique for managing large projects
- A quantifies progress on the project by considering the funds expended, the time expended and the status of deliverables
- Organizations may require that EVM is used where projected cost exceed a certain threshold (i.e. major weapon system procurement)
When can the value of EVM be seen?
When comparing EVM to traditional project management techniques
How was a project progress monitored by organizations in the past?
Funds spent would be compared to the amount budgeted, or by monitoring progress on the project to the amount of time that had elapsed.
This would tell them whether the budgeted funds were being spent at the anticipated rate, or the various tasks were being completed on time, but not a combination of both
What is regression analysis?
Technique that explores, develops a understanding of, and predicts the relationship among variables
How can regression analysis be used?
To predict the outcomes for new transaction’s dependent variables based on the values presented for independent variables
What is the confidence in the projection when there is low correlation between two data sets?
Not high reliance
Is the number for low correlation?
Correlation coefficient of 85 or -85
Why was the Fraud Reduction and Data Analytics Act of 2015 enacted?
To improve federal agency financial and administrative controls and procedures to mitigate fraud risk, and to improve federal agencies development and use data analytics for the purpose of identifying, preventing and responding to fraud, including improper payments
What does the Fraud Reduction and Data Analytics Act of 2015 require?
- OMB to develop guidelines for GAO’s A Framework Managing Fraud Risks in Federal Programs to implement control activities related to fraud risk management
- agencies to use a risk based approach design and implement controls to mitigate identified fraud risk
What is data analytics?
Process of inspecting, cleaning , transforming modeling data the goal of discovering useful information, suggesting conclusions, and supporting decision-making
- Data analytics goes by a variety of names
What is data mining?
Data analytic technique that focuses on modeling and knowledge discovery for predictive, rather than descriptive, purposes.
Does data mining entail?
- Sorting through a very large, disparate amount of data
- Combining them in a consistent format
- Using filters and algorithms to pick out relationships amongst people, organizations, and events
- using that knowledge for predictive rather than descriptive purposes
What is done with data mining results?
- Data mining results are not conclusions; direct an analyst to dig deeper into specific area
- The results of those more targeted examinations become the basis for conclusions
What is the key difference between data mining and other data analytic methods?
- Application of the software analytic structure
- It’s provides insight beyond attained by filtering data according to given criteria
- an element of AI is applied in the term data mining
How can the information from data mining be applied?
It can be applied in a variety of uses, such as business analysis, forecasting, auditing, and risk management
Is data mined typically presented
- Typically in summary form, most data systems allow for a drill down feature the summary to view the detailed information
- example: a data system shows medical records; if the data system shows issues in a particular area, the user can drill down to that area to determine the causes of the issue
What are some examples of data mining?
- Examining medical services provided to females to determine if they were that could only be applied to males
- Examining student records to ensure they are receiving the proper credits and GPAs
- Examining nutrition eligibility programs determine that participants meet the right criteria
What does predictive analytics encompass?
Statistics, modeling, machine learning, and data mining to analyze current and historical facts to make predictions about the future or unknown events
How do predictive models work?
Exploit patterns found in historical and transactional data to identify risks and opportunities with associated with a particular set of conditions, and thereby, guide decision-making
What are the strengths of data analytic techniques?
- The analyst is able to review complete sets, and not just a sample.
- The ability to link together multiple data sources, such as demographic information and data delivery
— for example, demographic data can be used to determine if the persons receiving the service met the criteria for the service
What is a caveat for using data analytics?
Caution must be exercised regarding the quality of the data as well as ensuring a full understanding of the program requirements and how does elements are represented in the data.
Once a full understanding is obtained, queries can be made of the combined data sources regarding common element (such as an identification number) to determine, in fact, persons were able to receive services
What are some questions organizations should ask when developing data analytic programs?
- Defining the decisions that the agency needs to make, and the information that will best inform those decisions
- Collaborate with other agencies to collect data and share analytic expertise.
- Develop data to determine return on investment for data analytic programs.
- Give agency leaders clear, concise analysis and results that they can use to support data driven programs (presentation is important, so include data visualization)
- Encourage data use and spark insights by enabling employees to easily see, combine, and analyze data
- Leaders/managers should demand using data and provide on the job training to targeted employees
What are some types of fraud?
- Fraudulent transactions. (online and off-line)
- Identity theft
- Inaccurate credit applications
- False insurance claims