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Analytics for Finance & Accounting Quiz

Total questions: 41

Worksheet time: 21mins

Name
Class
Date
1.

Which of the following defines 'Big Data' according to the lecture?

a)

Datasets that are simple to analyze with traditional spreadsheets

b)

Datasets too large and complex to be analyzed traditionally

c)

Any data stored in a physical filing cabinet

d)

Data that only contains numerical values

2.

The 'Four Vs' of Big Data are Volume, Velocity, Variety, and:

a)

Validity

b)

Veracity

c)

Variation

d)

Visualization

3.

In the DIKW pyramid, what is the correct order from bottom to top?

a)

Information, Data, Knowledge, Wisdom

b)

Data, Information, Knowledge, Wisdom

c)

Knowledge, Wisdom, Data, Information

d)

Data, Knowledge, Information, Wisdom

4.

What does 'Veracity' refer to in the context of Big Data?

a)

The size of the data

b)

The frequency of data collection

c)

The data quality

d)

The different types of data

5.

Which process is compared to 'oil refinement' in the lecture?

a)

Data storage

b)

Data analytics/refinement

c)

Data deletion

d)

Data purchasing

6.

What percentage of CEOs reportedly put a high value on Data Analytics?

a)

50%

b)

75%

c)

85%

d)

95%

7.

According to Statista, what was the revenue from big data and business analytics worldwide in 2022?

a)

$122 billion

b)

$189.1 billion

c)

$274.3 billion

d)

$350 billion

8.

Which of these is a leading challenge with using data to drive business value?

a)

Too much data variety

b)

Lack of analytical skills among employees

c)

Excessively high data quality

d)

Low internet speeds

9.

How does data analytics benefit auditing?

a)

It eliminates the need for human auditors

b)

It improves the detection of risky areas

c)

It reduces the number of financial statements

d)

It only focuses on non-financial data

10.

Which programming language will be used for practical exercises in this module?

a)

Python

b)

Java

c)

R

d)

SQL

11.

What does the 'I' stand for in the IMPACT cycle?

a)

Integrate data

b)

Identify the questions

c)

Interpret results

d)

Increase value

12.

Which step of the IMPACT cycle involves cleaning the data (ETL)?

a)

Step 1: Identify the Questions

b)

Step 2: Master the Data

c)

Step 3: Perform the Test Plan

d)

Step 5: Communicate Insights

13.

What is the final step (T) of the IMPACT cycle?

a)

Test the model

b)

Transform data

c)

Track outcomes

d)

Transfer data

14.

In Step 2 (Master the Data), what does ETL stand for?

a)

Entry, Testing, Loading

b)

Extraction, Transformation, and Loading

c)

Extraction, Timing, Location

d)

Electronic Transfer Ledger

15.

Which activity is part of Step 5: Communicate Insights?

a)

Data scrubbing

b)

Digital dashboards

c)

Normalizing data

d)

Defining primary keys

16.

Which step of the IMPACT cycle is described as "iterative," involving "slicing and dicing" data?

a)

Master the data

b)

Perform the test plan

c)

Address and refine results

d)

Track outcomes

17.

Regression is an approach used in which IMPACT step?

a)

Identify the questions

b)

Perform the test plan

c)

Communicate insights

d)

Master the data

18.

What is the goal of "Profiling" in data analytics?

a)

To divide individuals into groups

b)

To predict connections between items

c)

To characterize typical behaviors to identify abnormalities

d)

To reduce the amount of information

19.

Which approach is used to assign each data unit into a few categories, such as debtors by income?

a)

Regression

b)

Classification

c)

Data reduction

d)

Data reduction

20.

According to the IMPACT model, how much time is typically spent on data preparation and scrubbing?

a)

10%

b)

25%

c)

50-90%

d)

. 100%

21.

Which type of data is targeted for computers to process?

a)

Unstructured data

b)

Structured data

c)

Textual data

d)

Multimedia data

22.

"Male" and "Female" are examples of which type of categorical data?

a)

Ordinal

b)

Ratio

c)

Nominal

d)

Interval

23.

Which of these is an example of Unstructured/Textual data? A. A SQL table B. An Excel spreadsheet C. Social Media posts (Video/Email/Text) ✅ D. A primary key list

a)

A SQL table

b)

Social Media posts (Video/Email/Text)

c)

An Excel spreadsheet

d)

A primary key list

24.

In a relational database, what is a "Primary Key"?

a)

A key that points to another table

b)

A combination of two columns

c)

A descriptive attribute like a name

d)

A unique identifier for each record

25.

What is the purpose of a "Foreign Key"?

a)

To point to a primary key in another table

b)

To serve as a unique ID for the current table

c)

To store images and videos

d)

To encrypt the database

26.

What does the 'M' represent in the IMPACT cycle?

a)

Model the process

b)

Measure outcomes

c)

Master the Data

d)

Monitor results

27.

Which type of analytics determines "what has happened in the past"?

a)

Descriptive Analytics

b)

Diagnostic Analytics

c)

Predictive Analytics

d)

Prescriptive Analytics

28.

Which step in the IMPACT cycle involves sharing findings with stakeholders?

a)

Step 3: Perform the Test Plan

b)

Step 2: Master the Data

c)

Step 5: Communicate Insights

d)

Step 1: Identify the Questions

29.

Which of the following is an example of 'Velocity' in Big Data?

a)

Storing data in multiple formats

b)

Collecting data from a single source

c)

Ensuring data accuracy

d)

Processing millions of transactions per second

30.

What is the main function of data analytics in business decision-making?

a)

To increase manual reporting

b)

To support evidence-based strategies

c)

To eliminate all data storage

d)

To reduce the use of computers

31.

In Lab 1, what was the Excel formula used to create the "DTI Bucket"?

a)

=SUM(G2:G20)

b)

=VLOOKUP(G2, A1:B10, 2)

c)

=IF(G2>20%,"HIGH", IF(G2<10%, "LOW","MID"))

d)

=COUNTIF(G2, ">20%")

32.

What does the 'A' represent in the IMPACT cycle?

a)

Apply the data

b)

Analyze the results

c)

Assess the risks

d)

Automate the process

33.

Which of the following is an example of 'Variety' in Big Data?

a)

Storing data in a single format

b)

Handling structured, semi-structured, and unstructured data

c)

Processing only numerical data

d)

Collecting data at a slow pace

34.

Which of the following is NOT one of the 'Four Vs' of Big Data?

a)

Velocity

b)

Visualization

c)

Volume

d)

Variety

35.

What is the main purpose of Step 1: Identify the Questions in the IMPACT cycle?

a)

To visualize the results

b)

To clean and transform data

c)

To store data securely

d)

To define the business problem to be solved

36.

Which of the following best describes the 'Veracity' aspect of Big Data?

a)

The number of data sources

b)

The speed of data generation

c)

The trustworthiness and quality of data

d)

The amount of data collected

37.

Which of the following is most closely associated with the 'Velocity' characteristic of Big Data?

a)

Storing historical data in archives

b)

Real-time processing of streaming data

c)

Using handwritten records

d)

Analyzing only static datasets

38.

What is the main function of data visualization in the context of data analytics?

a)

To collect raw data from multiple sources

b)

To delete duplicate records

c)

To present complex data in an understandable format

d)

To encrypt sensitive information

39.

Which step in the IMPACT cycle involves sharing findings with decision makers?

a)

Communicate insights

b)

Track outcomes

c)

Identify the questions

d)

Model the process

40.

What is "Kurtosis" a measure of?

a)

The asymmetry of a distribution

b)

The "tailedness," or peak nature, of a distribution

c)

The difference between max and min

d)

The total sum of observations

41.

In a Box-and-Whiskers plot, what does the "Median" represent?

a)

The smallest value

b)

The simple average

c)

Outliers

d)

50% of the data is larger than/in the middle of the dataset