Expert guide: 7 tips to avoid bad data in visualizations
Data visualization process demands smart design, accurate data
Visualizing data is not as easy as it looks – and doing it poorly can have big business consequences.
Flawed visualization can lead decision-makers to the wrong conclusions that can hamper, or even tank your business. Upfront data governance and curation are needed to prevent users of tools such as Tableau from distributing dashboards based on inaccurate information.
Download this 19-page handbook for advice on 7 tips on avoiding bad data in your visualizations, including:
- Clearly define the data variables
- Make sure the data being used is complete
- Be consistent on scale
- And 4 more