Best Practice For An Effective Data Analysis Presentation

Presentations are an essential part of being a data analyst. The ability to share your findings is crucial to communicating with stakeholders, co-workers, or any kind of audience.

Always keep your audience in mind when preparing your presentation. An effective presentation goes with a properly prepared slide deck to share your findings. As a data analyst, you have two key responsibilities, analyze data and present your analysis effectively. How you present your analysis and how well your audience understands them matters a lot.

Best practice for slide decks

1. Title Slide

The first slide should include the title of your presentation, your name, and the date of your presentation or the last date updated.

2. Second Slide

This should contain a flow or table of content to show the logical progression of your presentation.

3. Purpose Statement/ Objective

This includes what the presentation is all about. It states the purpose of the overall slides.

4. (Tell Your Story) Other Slides

• Use visualizations. Each of the next slides should have one or two of your analysis dashboard images/screenshots.

• Provide a title for each graph and also introduce the images by name.

• Limit the amount of text on slides by using bullet points to describe the context of your screenshots. Your audience should be able to scan each block of text on your slides within 5 seconds

5. Last Slide

• Finally, you should include a closing slide with your final takeaways.

Step 2.

Create your slides using any of the following presentation software.

1. Microsoft PowerPoint

2. Google slides

3. Canva

4. Microsoft 365

Best practice for effective data analysis presentations.

• Use an attention-grabbing opening

• Start with broad ideas and later talk about specific details

• Speak in short sentences

• Pause for five seconds after showing a data visualization

• Pause intentionally at certain points

• Keep the pitch of your voice level

• Stand still and move with purpose

• Maintain good posture

• Look at your audience (or camera) while speaking

• Keep your message concise

• End by explaining why the data analysis matters

Presenting your visualizations effectively is just as important as the content, if not more.