This morning, we held our penultimate 2020 Data Meetup. Today’s conversation ranged from early bird vs. night owl productivity to ethics in data visualization. We tackled less topics today because we had some really awesome, in-depth discussions around each of the ones we did get to. Here’s a full list of what we covered:
- In a “typical” production/manufacturing environment, how important is the data visualization tool (e.g. Excel vs. Tableau) when presenting to internal consumers? Said another way, are there diminishing returns when moving beyond Excel in certain environments?
- Which type of visualizations would you recommend to omit when presenting data to key stakeholders (e.g. pie charts, 3D charts, etc.)
- Following up from the type of visualizations question, what is the best way to present both positive and negative data to the audience while not manipulating their perceptions and maintaining a high standard of data ethics?
- Typical presentations are built on an initial request or analysis, but then need to be retuned away from technical details to be presented to a higher-level audience. Is there a checklist or a recipe you use to identify and answer to the needs of the audience?
