Module 3A Wrap Up

Question 1

What four key areas define the progress of data visualisation?

Answer 1

Speed, Data Storage, Automation, Accessibility

Question 2

How is data democratisation achieved in data visualisation?

Answer 2

By leveraging free tools like Tableau and Power BI, and improving data access.

Question 3

How can you leverage data visualisation in your daily life?

Answer 3

Get inspired, use free tools (e.g. Tableau, Power BI), share and explore.

Question 4

What are the three parts of effective data storytelling?

Answer 4

The Problem, The Solution, The Inputs

Question 5

In data storytelling, what should you understand about ‘The Problem’?

Answer 5

Know what you’re solving for.

Question 6

In data storytelling, what should ‘The Solution’ show?

Answer 6

What a successful outcome looks like.

Question 7

What matters about ‘The Inputs’ in data storytelling?

Answer 7

Data quality—how well it’s collected and cleaned.

Question 8

What are the 8 best data analytics tools listed?

Answer 8

Tableau – Best for visualisation and dashboards

Power BI – Best for Microsoft users

Zoho Analytics – Best for SMBs

SAS Viya – Best for collaboration

Looker – Best for data modelling

Sisense – Best for data integration

Alteryx – Best for complex workflows

Qlik – Best for discovering insights

Question 9

What does the WHW method in storytelling stand for?

Answer 9

What Action? How Much? By When?

Question 10

What are the 5 key takeaways from Mico Yuk’s data storytelling video?

Answer 10

Data storytelling is not about pretty charts

Ask the right questions

Use visual storyboards, not Word docs

Focus on user engagement

People remember stories, not data