Data Storytelling: Everything You Need to Know When Assessing Data Storytelling Skills

Data Storytelling

Data Storytelling is an essential skill that merges data analysis with narrative and visual elements to make complex data more understandable and actionable. It's about crafting stories from data that engage, inform, and inspire action.

The Art of Data Storytelling

At the intersection of data science and creativity, Data Storytelling empowers professionals to deliver impactful messages rooted in data evidence. It transcends mere numbers and charts to connect with audiences on a human level.

Elements of Data Storytelling

Data: The foundation of any data story is accurate, relevant, and timely data.
Narrative: A storyline that connects the data points into a cohesive and engaging narrative.
Visuals: Effective visualizations that illustrate the data and support the story.

The Process of Data Storytelling

Identify Your Audience: Know the audience to tailor the narrative to their interests and level of understanding.
Find the Narrative: Look for the story within the data. What does the data say? What are the trends, anomalies, or patterns?
Choose the Right Visuals: Select visual aids that enhance comprehension and retention. From simple charts to interactive dashboards, visuals should clarify, not complicate.
Craft the Message: Weave the data and visuals into a narrative that's compelling and relevant to your audience.
Revise and Refine: Iterate on the story, visuals, and delivery until the message is clear and engaging.

The Impact of Data Storytelling

By presenting data within a story, information becomes relatable and memorable. Data Storytelling has the power to influence decisions, change behaviors, and drive business results.

Tools for Data Storytelling

Many tools can enhance Data Storytelling, including:

Tableau for interactive and visual analytics.
Microsoft Power BI for dashboarding and reporting.
Adobe Spark or Canva for creating graphics and visual content.
R and Python for in-depth data analysis and visualization scripting.

Data Storytelling is not just about visualizing data but about weaving a narrative that resonates with the audience, backed by the credibility of data. In today's data-driven world, the ability to tell a compelling story with data is as important as the data itself.

Discover How To Get Started Assessing Data Storytelling Skills

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Shen Liu, Logickube (Principal at Logickube)

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Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)