The Secret To Creating Successful Data Stories, Not Trashboards

The article emphasizes the shift from creating traditional dashboards to storytelling with data, highlighting the need for more engaging and impactful communication of insights. It stresses the importance of framing questions, collecting relevant data, and structuring the data story in various engaging formats. The piece concludes with a call to embrace data storytelling for better decision-making.

 The Secret To Creating Successful Data Stories, Not Trashboards

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Data Storytelling

An Insight into Data Storytelling

In the rapidly expanding data world of today, organizations are empowering every team member to access and use data for informed decision-making. More data and business analysts and consultants are put to the job of connecting data with business and making the most sense.

As a data consultant, I work on one or the other dashboard every week. Now, more than ever, data professionals need to pivot to storytelling with data, rather than simply creating pretty dashboards. Storytelling with data is all about presenting a well-packed narrative with data analyses, visualizations, qualitative analysis, and business context. The difference between dashboards and data stories is that data stories provide an over-time narrative of a problem statement or situation that can contain analyses, insights, dashboards, or visualizations, and can convey a conclusion or recommendation for a business problem.

Data professionals often face friction with dashboards like when the dashboard is loaded with too much information on one screen, lacks enough business context, cannot be customized to individual user needs, and people lack the skill to interpret complex dashboards. Effective data storytelling can address these challenges and lead to better decision-making.

Practical Solutions

  • Find The Story: Determine what questions the story can answer and frame pressing questions that your data visualizations, analyses, or reports will answer.
  • Collect Relevant Data: Gather data requirements, meet with stakeholders, break down the problem, pinpoint user needs, and explore supporting information.
  • Structure Your Story: Consider packaging key findings and insights in various ways such as fact sheets, slideshows, infographics, human-centered storytelling, Q&A, lists, games, and data movies.
  • Create 3 Key Takeaways For Your Audience: Summarize your content into three action items or key takeaways to make it easy for your audience to remember and take action as needed.

Value of Data Storytelling

More than simply creating and presenting a dashboard, pivot to storytelling with data this new year and strive for translating data for the business. If you want to evolve your company with AI and stay competitive, consider how AI can redefine your way of work.

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