Communicating Data Insights Flashcards

1
Q

Four types of communication?

A

Written
Visual
Verbal
NonVerbal

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2
Q

What type of communication is anything written on a paper or presentation?

A

Written

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3
Q

What type of communication uses charts, graphs, pictures, and videos?

A

Visual

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4
Q

What type of communication encompasses actions such as posture, eye contact, facial expression, and gestures?

A

Nonverbal

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5
Q

What type of communication is anything spoken and heard?

A

Verbal

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6
Q

Developing a strong written communication skill requires two key concepts?

A

Appropriate format and Concise

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7
Q

What type of communication is the easiest format to consume and can hit a wider audience than written communication?

A

Visual

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8
Q

What is something not possible with traditional written and visual forms of communication?

A

Responding directly to audience needs

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9
Q

What type of communication illustrates how well the message is being performed?

A

Nonverbal communication

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10
Q

What is the deep understanding of a business issue or situation to uncover value?

A

Data Insights

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11
Q

How to obtaining insights?

A
  1. Collect Information
  2. Organize information
  3. Analyze information
  4. Determine action plan
  5. Communicate action plan
  6. Observe outcome
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12
Q

Best Practice: Tie insights back to common business objectives for better context.

A

True

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13
Q

Best Practice: Business context alone isn’t enough. Build a foundation of support.

A

True

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14
Q

Best Practice: Simplicity is essential. Break complex insights to smaller ideas.

A

True

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15
Q

What is the most important facet of communicating?

A

Your audience

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16
Q

Key questions to keep in mind with your audiences?

A
  1. What roles does your audience have?
  2. What does your audience already know?
  3. What does your audience need to know?
  4. How well does your audience know about you?
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17
Q

Translate information into a more accessible form to discover insights

A

Visualizations

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18
Q

Are the forefront of communicating data insights

A

Visualizations

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19
Q

Simplify the vast amount of information generated daily.

A

Charts and graphs

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20
Q

Show an aggregated view of our data, highlighting trends and patterns.

A

Visualizations

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21
Q

Positive effects of visualizations

A

Faster and better decision making
Wider appeal to decision makers
Shows more complete picture than simple aggregations

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22
Q

Bar charts and histograms look very similar, why?

A

Because both utilize bars of different heights to display information

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23
Q

How do bar charts and histograms differ?

A

Differ based on which kind of data they support.

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24
Q

Bar charts uses what kind of underlying data?

A

Categorical data

25
Categorical data can be thought as what?
Labels for data points
26
What type of chart displays bars with heights based on summary information?
Bar chart
27
Most common summary information?
frequency or counts
28
Histograms uses what kind of data?
Numerical Data
29
The underlying data of histogram charts are what?
Broken into bins of equal size
30
What does the height of each bin in the histogram represent?
frequency of data within the bin
31
What is the goal of scatterplots?
Show the relationship between two numerical variables in a dataset
32
The points in a scatterplot chart are arranged based on what?
Horizontal and vertical positions
33
Relationship between variables are easier to detect in which type of chart?
Scatter plot
34
What is the limitation of the basic bar chart?
Only display one category at a time.
35
What bar chart allows more information and highlight additional insights by adding a second categorical variable?
Stacked bar chart
36
What type of chart scales the data to 100%?
100% Stacked bar chart
37
Visualizations aim to share general information that can be quickly understood and actioned.
True
38
Overall trend information is more important than knowing exact details when constructing a visual.
True
39
Data Story Distinctions:
Easier to understand Inspire action Retain information
40
Stories increase engagement over raw data
true
41
Method of communicating data insights tailored to a specific audience with an overarching narrative
Data Storytelling
42
To tell a good story what are the three elements you will consider?
Visualization - share story familiar format Context - shows story as part of larger effort Narrative - gives the data a voice
43
Share information quickly that is easy to understand and action
Visualizations
44
Core of a data story
Visualizations
45
Focus more on _______ and _________ over ________ details.
trends and patterns, specific details
46
Shows audience broader picture
Context
47
Focus on what is essential to understand
Context
48
Unify data story with business objective and outcomes
Context
49
People need to connect with the message to make decisions
Narrative
50
Narrative objectives:
Give data a clear and convincing voice Explain why insights are significant Clearly outline next steps and inspire action
51
Data Story telling has three key components that fall within four typical roles:
Subject matter Expert Analyst Visualizer Reviewer
52
Responsible for knowing the business problem completely
Subject matter expert (sme)
53
Objectives of SME:
Develop narrative, giving data story a voice Build context, relate data story to organizational efforts
54
Blends art and science to create compelling visuals
Visualizer
55
Group objectives of visualizaer:
Craft stunning visuals Ensure insights are properly showcased
56
Technical expert in charge of uncovering and supporting insights
Analyst
57
Group objectives of analyst:
Support other roles Answer Analytical questions Does not require business expertise
58
Evaluates the overall data story
Reviewer
59
Group Objectives of a Reviewer:
Verifies assumptions Gives overall impression of data story Acts as sample audience