Data analytics projects Flashcards

(33 cards)

1
Q

What is the overall goal of a data analytics project?

A

The final analysis delivers reliable, actionable insights that can be used to enhance business value.

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2
Q

What mnemonic is used to remember the key elements of critical thinking in data analytics?

A

SPARKS

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3
Q

What are the two categories of stakeholders to consider in a data analytics project?

A
  • Internal stakeholders
  • External stakeholders
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4
Q

What should be considered when defining the purpose of the analysis?

A

Knowing the reason for the analysis and defining the specific questions that must be answered.

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5
Q

Fill in the blank: In data analysis, it is important to recognize that there are _______.

A

[alternatives]

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6
Q

What potential risks should be identified in a data analytics project?

A
  • Selecting the wrong data
  • Using incomplete or incorrect data
  • Using datasets containing inherent biases
  • Not recognizing assumptions in data choice
  • Choosing the wrong method of analysis
  • Performing the analysis incorrectly
  • Drawing unsubstantiated conclusions
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7
Q

What is vital to identify regarding knowledge needed for analysis?

A

Recognizing when more knowledge must be obtained.

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8
Q

What is the purpose of self-reflection in data analytics?

A

To consider issues from previous projects that might inform current work and ensure lessons are learned.

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9
Q

What is the first step in preparing for a data analytics project?

A

Defining the project objectives.

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10
Q

What does framing the problem involve?

A

Understanding the motivation of the stakeholders and defining the scope of the work.

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11
Q

What should be evaluated regarding existing capabilities in a data analytics project?

A
  • Available data
  • Existing analytics capabilities
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12
Q

What is the role of a finance professional in cost-benefit analysis for data analytics?

A

To determine if the benefits from actionable insights outweigh the costs.

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13
Q

What specific requirements must be gathered for a data analytics project?

A
  • The exact questions to be asked
  • The precise format the answers should take
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14
Q

What ethical considerations should be adhered to in a data analytics project?

A
  • Use of data
  • Analysis performance
  • Results usage
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15
Q

What should be validated to ensure findings from the analysis are reliable?

A

That findings are consistent with other research or data sources and free from biases.

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16
Q

What are some factors to consider when gathering specific requirements for an analysis?

A
  • Specific time horizons
  • Performance measurement
  • Level of disaggregation
  • Presentation format
17
Q

True or False: It is sufficient to assume stakeholder expectations without consulting them.

18
Q

What should be established when evaluating data availability?

A
  • What data is already available
  • Where additional data sources are located
  • Who can provide access to required data
19
Q

What is the first stage in a data analytics project?

A

Defining the project objectives

This stage involves agreeing on the overall aims of the project.

20
Q

What is involved in the ‘framing the problem’ stage?

A

Clarifying stakeholders’ expectations for the project outputs

This stage helps in understanding what stakeholders want from the analysis.

21
Q

What does evaluating the business’s capabilities entail?

A

Comparing current resources with those required for the project

This assessment ensures that the necessary resources are available for successful project implementation.

22
Q

What tasks are performed during the gathering specific requirements stage?

A

Listing out the precise questions to be asked and the format in which the answers should be presented

This step ensures clarity in what needs to be analyzed.

23
Q

At which stage should issues regarding the specifics of data requirements be raised?

A

Gathering the specific requirements

This stage focuses on detailing questions and answer formats.

24
Q

What are the forms of analytics that can be performed?

A
  • Descriptive
  • Diagnostic
  • Predictive

These forms help in understanding different aspects of the data.

25
What is a key consideration when developing a data analytics strategy?
Final decisions on datasets, resources, and processes to be used ## Footnote This stage is crucial for ensuring the analysis meets its objectives.
26
Define the purpose of the analysis in a data analytics project.
To determine what is driving the increase in production costs ## Footnote The analysis should remain focused on the stated objective.
27
What must be taken into account when evaluating risks in data analytics?
External factors that may influence costs ## Footnote Ignoring these factors can lead to misinterpretation of data.
28
What should be included in the knowledge phase of critical thinking?
A breakdown of all the production costs ## Footnote This ensures that every element contributing to the total costs is considered.
29
What specific questions might be asked during the analysis of production costs?
* What was the percentage increase in the cost of aluminium? * How much of that increase can be explained by the redesign? * How did spending vary among suppliers? ## Footnote These questions help to pinpoint specific causes of cost increases.
30
What is the final step before beginning the analysis in a data analytics project?
Development of a formal data analytics strategy ## Footnote This involves deciding on datasets, calculations, and presentation methods.
31
True or False: The analysis stage can begin before the data analytics strategy is defined.
False ## Footnote A clear strategy must be established to ensure effective analysis.
32
Fill in the blank: The final vital stage of the planning phase in a data analytics project is the development of a _______.
data analytics strategy
33
What is the role of stakeholders in a data analytics project?
Their expectations must be clarified and considered in the framing of the problem ## Footnote Stakeholders include both internal and external parties who have an interest in the project's outcomes.