1. Sharing data insights
Congratulations, you have arrived at the time to share the insights you have drawn from the data!
2. Communicating insights visually
Data visualization is increasingly being seen as the essential last step of any successful data-driven analytics strategy. As industry thought leader Ben Schneiderman has offered, "Visualizations give you answers to questions you didn't know you had." As a data analyst, to offer data driven insights clearly one must mix business context, diligence with the facts and figures, and patience to convey the Data Story in a compelling way. Tableau's Story Points is one of the most effective avenues for delivering a data story.
3. Story Points
Story Points allow you the flexible frame to present your Data Story while remaining connected to live data. Potential questions from stakeholders can therefore be addressed during the presentation. The historical delay with follow up communications is reduced or eliminated. The mutual goal of reducing time to insight is directly impacted by this opportunity!
4. Structuring the presentation
When presenting your results with Story Points, first, you will want to express the big question you were charted to explore and/or answer.
5. Story Point question example
For example, like this.
6. Structuring the presentation
Next, you should provide context and qualifiers about the data that was available, along with assumptions and limitations.
7. Story Point question example
Here you can see some information and context about the data used.
8. Structuring the presentation
Then deliver the insights drawn from the data. You will follow this up with an appropriate combination of observations, conclusions and next steps recommendations, depending on your audience and the relationship you have with them.
9. Story Points tools
To ensure smooth and frictionless communication of your results and insights, you should leverage two of Story Points' capabilities.
Formatting lets you synchronize colors, shading, add pictures or branding logos. These are great to enhance the user experience.
Local annotations, which you are already familiar with, also let you add text elements in Story Points, so you can add explanatory comments or highlight specific elements. They are added only to Story Points (not to the original visualization) and allow you to ensure that your insights don't get overlooked, as you won't always be in the room when your analysis is being reviewed.
Other tools that you can use when building a visualization, such as tooltips, are a also available in Story Points.
10. Let's practice!
Now let's explore and practice Story Points!