On the global stage – the analytics that predicted a Hillary Clinton victory in the 2018 US election was, in fact, accurate. A Trump victory was within the margin of error.
The conclusions drawn by most analysts ignored the margin of error as a Clinton victory seemed assured.
Bias outweighed the data.
Dilbert’s boss summaries the problem
Are you like the pointy haired boss?
Do you care if the data that you are using to support decision making is good or bad?
Data governance, data traceability, data quality are the cure for bad data