CompTIA Data+ (DA0-002)VisualizationMedium
A data scientist is preparing a presentation to explain the impact of a new marketing campaign to non-technical business stakeholders. The presentation needs to clearly show the increase in website traffic and conversion rates post-campaign launch. Which storytelling element should the data scientist prioritize to make the data more relatable and memorable for this audience?
- AUsing highly technical jargon to establish credibility and expertise.
- BFocusing on a 'hero metric' and illustrating its change with a simple trend line.
- CIncluding complex, multi-layered charts that display all underlying data points.
- DPresenting raw statistical tables and p-values to demonstrate significance.
Show answer & explanationAnswer & explanation
Correct answer: B. Focusing on a 'hero metric' and illustrating its change with a simple trend line.
For a non-technical audience, focusing on a 'hero metric' (a single, most important KPI) and illustrating its change with a simple trend line is an effective storytelling technique. This simplifies complex data into a clear, understandable narrative, making the impact relatable and memorable without overwhelming the audience with technical details.
Why the other options are wrong
- A. Using technical jargon alienates non-technical stakeholders and hinders effective communication.
- C. Complex, multi-layered charts overwhelm non-technical audiences and obscure the main message.
- D. Raw statistical tables and p-values are too technical for a non-technical audience and will likely confuse them.
Hero Metric
A single, most important key performance indicator (KPI) that clearly communicates the primary success or failure of an initiative.
- Simplifies complex outcomes.
- Provides a clear focus for storytelling.
- Easily understood by diverse audiences.
Memory trick: Data's tale, when told with grace, leaves a lasting, clear embrace.