A public-health analyst worries that dashboards look precise while underlying citizen surveys are incomplete. Which integrity principle should guide the team?
Select an answer to reveal the explanation.
Short Explanation
A shiny dashboard can look like a microscope when it is really a funhouse mirror. If the survey sample is holey, the "precise" chart is just decorating the holes. Trust the analysis only as far as the data quality and careful reading go.
Full Explanation
Big Data integrity emphasizes that analytical outputs inherit the quality and interpretation discipline of their inputs. Incomplete citizen surveys introduce uncertainty that visualization polish cannot erase, and vendor branding does not substitute for validation. Publishing faster without quality controls trades integrity for speed and undermines trustworthy public-health use of the dashboards.