The Very Real Risks of Excluding the Disengaged From Your Dataset

Analysts use machine learning tools to analyze the vast amounts of data now available. Big data is appealing, but even the best tools and techniques will give you noise if the underlying data aren’t robust and inclusive. To reliably predict elections, correctly anticipate consumer demand or to accurately predict the trajectory of a pandemic, leaders need to ask themselves who is (and isn’t) included in their dataset.

Read more on the risks of exclusion in your datasets here.

Curious about our research? Check out our recent articles here.