FAQ
Data Storytelling FAQ
Straight answers to the questions people ask most about data storytelling, the book Effective Data Storytelling, and Brent Dykes’ training, consulting and coaching. Can’t find your question? Get in touch.
What is data storytelling
What is data storytelling?
Data storytelling is the practice of combining data, narrative, and visuals to communicate an insight so it is understood and acted on. It goes beyond simply presenting numbers or charts: the data provides the evidence, the narrative gives it structure and meaning, and the visuals make it clear and memorable. Brent Dykes defines it as turning analysis into a story that drives change rather than just informing an audience.
How is data storytelling different from data visualization?
Data visualization is one component of data storytelling, not a synonym for it. A chart can display data accurately yet still fail to explain what it means or why it matters. Data storytelling adds the narrative context and the intended takeaway so the audience knows what to think and do, which is why Brent Dykes argues that data storytelling is much more than just data visualization.
What are the key elements of a data story?
At the book level, Effective Data Storytelling is built on three essential elements: data, narrative, and visuals. When asked what matters most in a good data story, Brent Dykes points to three core pillars: the hook that captures attention, the aha moment that delivers the main insight and its impact, and the narrative flow that connects everything. Visuals support these pillars but are not the primary driver of a story's success.
What is the difference between a data story and a story with data?
A story with data uses data as supporting decoration around a narrative, while a data story makes the data itself the source of the insight and the reason the narrative exists. In a strong data story the numbers are essential to the conclusion and cannot be removed without collapsing the point. This distinction helps teams avoid dressing up existing messages with charts that add little value.
Is data storytelling an art or a science?
Data storytelling is both. The analytical work of finding and validating an insight is the science, while the craft of framing it for a specific audience, choosing the right narrative structure, and designing clear visuals is the art. Effective data storytellers move deliberately between the two, which is why Brent Dykes describes it as blending quantitative and qualitative skills.
Why data storytelling matters
Why is data storytelling important?
Insights only create value when people understand and act on them, and raw numbers rarely speak for themselves. Data storytelling supplies the context, structure, and focus that help decision-makers grasp what an insight means and what to do next. Without it, even correct analysis is often misunderstood, ignored, or left sitting in a report.
Who needs data storytelling skills?
Anyone who communicates data to influence decisions benefits from data storytelling: analysts, data scientists, managers, executives, and business professionals. The skills are especially valuable for teams presenting findings to leadership, where attention is scarce and clarity determines whether an insight leads to action. It also complements data literacy rather than replacing it.
How does data storytelling improve decision-making?
Decision-makers are time-poor and face an overload of data, so a well-structured story reduces the effort required to understand a finding and its implications. By leading with a clear insight and relevant context, a data story aligns the analysis with the audience's priorities and makes the recommended action obvious. This shortens the path from insight to decision.
How to create a data story
How do you tell a story with data?
Start with the destination: identify the single most important insight and why it matters to your audience. Then shape a narrative around it using a structure such as the data storytelling arc, opening with a hook, building to the aha moment, and supporting it with only the visuals that advance the point. Finally, strip out clutter so nothing competes with the key takeaway.
What is the data storytelling arc?
The data storytelling arc is a narrative structure that takes an audience from an engaging opening to a meaningful conclusion. It typically moves through a hook, rising context or tension, a central aha moment, and a resolution that points to action. Borrowing from traditional storytelling gives the data a shape that feels purposeful rather than like a list of findings.
What is the SPARK reporting framework?
SPARK is Brent Dykes' framework for business reporting that addresses five common executive frustrations. Its five factors are Stakeholder (who the report is for), Purpose (why it exists and how it connects to strategy), Accuracy (data quality, timeliness, and consistency), Readability (accessible design), and Key Takeaway (decision support and clear next steps). The framework shifts reporting from data delivery to driving action.
What are the 5 C's of storytelling?
The 5 C's is a general storytelling heuristic often used to describe the ingredients of a compelling narrative, such as character, conflict, change, context, and a clear conclusion. It originates in traditional storytelling rather than data storytelling specifically. For data work, Brent Dykes maps those ideas onto data-specific pillars like the hook, the aha moment, and narrative flow.
How much data visualization does a data story need?
Only as much as the narrative requires. Effective data stories use a small number of purposeful, well-designed charts that each reinforce a specific point, rather than a dense sequence of dashboards and tables. Overloading an audience with visuals can obscure the insight, which is why simplicity and relevance matter more than visual polish.
Data storytelling examples
What are some effective examples of data storytelling?
Strong data storytelling examples share a clear insight at the center, a narrative that builds toward it, and visuals that make the point immediately legible. Classic cases range from John Snow's cholera map to modern advocacy and business stories that pair a striking visual with a persuasive explanation. Brent Dykes analyzes several notable examples, including the LEGO brick analogy, to show what makes them work.
What makes a data storytelling example effective?
The best examples are built around a meaningful insight, not a clever chart. They give the audience the context needed to interpret the numbers, use narrative to create tension and resolution, and end with a clear implication or call to action. If you remove the data from an effective example, the story no longer functions.
The Effective Data Storytelling book
What is the best book for learning data storytelling?
Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals by Brent Dykes is a widely recommended, practical guide that covers the full process rather than only chart design. Cole Nussbaumer Knaflic's Storytelling with Data is a strong companion focused on visualization. Together they cover both the strategic and visual sides of the discipline.
What is Effective Data Storytelling by Brent Dykes about?
The book explains how to turn data into stories that drive change by combining three elements: data, narrative, and visuals. It covers frameworks, techniques, and real examples for moving from analysis to a persuasive, decision-oriented story. It is written for analysts, data professionals, and business leaders who need to communicate insights more effectively.
Who is Brent Dykes?
Brent Dykes is an author, speaker, and analytics leader with more than two decades of experience in the data industry, including senior roles at Omniture, Adobe, and Domo. He wrote Effective Data Storytelling and delivers workshops, keynotes, consulting, and coaching on communicating data effectively. He has worked with organizations such as Microsoft, Sony, Nike, Amazon, and Comcast.
Is there a free discussion guide for Effective Data Storytelling?
Yes. This site offers a free book club discussion guide plus a bonus cheat sheet for Effective Data Storytelling. It is designed to help teams and reading groups work through the book's key concepts together. It is available at no cost from the free book club discussion guide page.
Where can I find data storytelling quotes?
Brent Dykes maintains a popular collection of 100 essential data storytelling quotes covering data, analytics, visualization, and narrative. The quotes are useful for presentations, training, and internal communications. They are organized on the site's data storytelling quotes page.
Training, courses, and services
Where can I find data storytelling training or workshops?
Brent Dykes offers customized data storytelling training and workshops for teams, delivered in person or virtually. Each engagement is tailored to the team's goals and skill level and is built on the frameworks from Effective Data Storytelling. Organizations can also choose self-paced on-demand courses or combine training with consulting and coaching.
What is the best data storytelling course?
The right course depends on whether you want a self-paced option or a team-based program. Brent Dykes offers on-demand data storytelling courses covering the full process as well as individual skills, all taught by the author of Effective Data Storytelling. Teams that want a customized experience typically choose a live training workshop instead.
What is the difference between data storytelling training, consulting, and coaching?
Training builds team capability through structured workshops, consulting applies data storytelling frameworks to specific insights and deliverables, and coaching provides ongoing one-on-one guidance through a monthly retainer. Many organizations combine them: training to establish shared foundations, then consulting or coaching to reinforce the skills on real work.
Does Brent Dykes offer a data storytelling certification?
There is no standalone certification program advertised; the site focuses on on-demand courses, live training workshops, consulting, and coaching. Completing the courses and workshops provides practical, framework-based skills rather than a formal credential. Teams needing a documented training program can request a customized workshop.
How much does data storytelling training cost?
Pricing for data storytelling training is customized based on format, audience size, and scope, so rates are quoted on request. On-demand courses offer a lower-cost self-paced alternative for individuals. Contact Brent Dykes with your team's goals to receive a tailored proposal.
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Still have questions?
Brent is available for training workshops, keynote speaking, consulting and coaching.