UBM Radio   /     Can Your Data Be Trusted?

Summary

In the aftermath of a US presidential election in which all major polls failed to predict the outcome -- the election of Donald J. Trump over Hillary Clinton -- plenty of people are wondering what happened. Can they trust data and analytics? What went wrong with these polls and predictions? And if this data and these predictions can't be trusted, what are the ramifications for other data and analytics efforts. Will analytics projects be viewed with greater skepticism? We talk to expert Tricia Aanderud, author and director of the Data Visualization Practice at Zencos Consulting, about what went wrong with election predictions and what it means for data and trust in 2017.

Subtitle
Predictions are only as good as the data and models used to create them. As polls failed to predict the US presidential election, we look at the question: Can o
Duration
00:31:00
Publishing date
2016-12-20 19:00
Link
http://www.blogtalkradio.com/e2radio/2016/12/20/can-your-data-be-trusted
Contributors
  UBM Radio
author  
Enclosures
http://www.blogtalkradio.com/e2radio/2016/12/20/can-your-data-be-trusted.mp3
audio/mpeg

Shownotes

In the aftermath of a US presidential election in which all major polls failed to predict the outcome -- the election of Donald J. Trump over Hillary Clinton -- plenty of people are wondering what happened. Can they trust data and analytics? What went wrong with these polls and predictions? And if this data and these predictions can't be trusted, what are the ramifications for other data and analytics efforts. Will analytics projects be viewed with greater skepticism? We talk to expert Tricia Aanderud, author and director of the Data Visualization Practice at Zencos Consulting, about what went wrong with election predictions and what it means for data and trust in 2017.