Data and Analytics Flashcards

1
Q

What is critical thinking?

A

Disciplined reasoning that involves logically forming conclusions, judgments, or inferences from facts.

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2
Q

Why is critical thinking important for finance professionals?

A

It is a core skill essential for performing data analytics projects.

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3
Q

What mnemonic can be used to remember the key elements of critical thinking in data analysis?

A

SPARKS

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4
Q

What does the ‘S’ in SPARKS stand for?

A

Stakeholders

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5
Q

What does the ‘P’ in SPARKS represent?

A

Purpose

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6
Q

What does the ‘A’ in SPARKS signify?

A

Alternatives

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7
Q

What does the ‘R’ in SPARKS refer to?

A

Risks

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8
Q

What does the ‘K’ in SPARKS indicate?

A

Knowledge

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9
Q

What does the ‘S’ in SPARKS mean?

A

Self-reflection

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10
Q

Who are considered internal stakeholders?

A

Individuals or groups directly involved in the business’s operations such as managers and employees.

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11
Q

Who are considered external stakeholders?

A

Individuals or groups outside the business such as investors, creditors, regulators, business partners, or the wider community.

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12
Q

What is the purpose of defining the objectives in a data analytics project?

A

To ensure the analysis remains focused and achieves specific goals.

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13
Q

What should be identified when recognizing alternatives in data analysis?

A

Choices about questions to ask, datasets to analyze, types of analysis to perform, and ways to communicate results.

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14
Q

True or False: It is important to identify potential risks from the outset of a data analysis project.

A

True

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15
Q

What knowledge is vital for conducting a data analysis?

A

Proficiency with relevant accounting tools and techniques and understanding factors influencing the area being analyzed.

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16
Q

What does self-reflection involve in the context of data analysis?

A

Considering issues from previous projects and ensuring lessons are learned for future projects.

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17
Q

What are the key steps in preparing for a data analytics project?

A
  • Defining the project objectives
  • Framing the problem
  • Evaluating the business’s capabilities
  • Gathering the specific requirements
  • Developing a data analytics strategy
18
Q

Why is framing the problem important in data analytics?

A

To define the scope of the work and ensure the analysis meets stakeholders’ expectations.

19
Q

What should be included in evaluating existing capabilities for data analysis?

A
  • Audit of available data
  • Assessment of existing analytics capabilities
  • Cost-benefit analysis for additional investments
20
Q

What ethical considerations must be followed in a data analytics project?

A

Conformance to the business’s ethical principles regarding data use, analysis methods, and results application.

21
Q

What is the importance of validating findings in data analysis?

A

To confirm that the findings are valid, reliable, and free from biases.

22
Q

Fill in the blank: The analysis must consider the _______ to ensure it meets the objectives.

A

[needs of stakeholders]

23
Q

What are the four key terms in the decision-making process hierarchy?

A

Data, Information, Knowledge, Insights

24
Q

What does ‘Data’ refer to in the decision-making process?

A

Raw unprocessed facts or objects, such as numbers, words, symbols, or images

25
Where can data be located?
Spreadsheets, business reports, social media posts, government websites
26
What is 'Information' in the context of the decision-making process?
What emerges when data is processed, organised, and categorised to provide meaning
27
How is 'Knowledge' created in the decision-making hierarchy?
By gathering and combining various sources of information to provide context
28
What does 'Knowledge' allow decision makers to do?
Evaluate the produced knowledge and bring skills and expertise to develop actionable insights
29
What are 'Insights' derived from?
An understanding of how knowledge can be applied to add value, influence decisions, and drive change
30
Fill in the blank: The part that had the lowest pass rate was the same one as in prior years and also the one for which fewest ______ were downloaded.
practice guides
31
True or False: The more practice guides downloaded, the higher the average score per part.
True
32
What potential data could be used to improve exam pass rates?
* Marks awarded to students for the current and previous years * Number of practice guides downloaded * Number of students sitting each part of the exam
33
What information can be produced from the potential data regarding exam pass rates?
* Average score achieved by students for each part * Pass rate for each part * Number of practice guides downloads by students for each part
34
What insight can be derived from the knowledge that practice guides improve performance?
More effort should be directed towards encouraging students to download and study the practice guides
35
What type of question addresses past trends?
Descriptive ## Footnote Example use case: Monthly sales reports
36
What type of question focuses on root causes?
Diagnostic ## Footnote Example use case: Analysing a product's failure rate
37
What type of question is used for predicting future trends?
Predictive ## Footnote Example use case: Predicting customer churn
38
What type of question provides recommendations?
Prescriptive ## Footnote Example use case: Optimising inventory levels
39
Fill in the blank: A _______ question focuses on past trends.
Descriptive
40
Fill in the blank: A _______ question addresses root causes.
Diagnostic
41
Fill in the blank: A _______ question is likely to predict future trends.
Predictive
42
Fill in the blank: A _______ question should provide recommendations.
Prescriptive