Trump’s Election: Poll Failures Hold Data Lessons For IT

How good is the data we rely on in our lives and businesses? After hundreds of polls were conducted and analyzed to predict who would win the US presidential election, the data scientists, statisticians, and media outlets that analyzed those polls failed to predict that Donald Trump would win against Hillary Clinton on Election Day. It was a shocker to many.
That brings up an important question for IT organizations that are investing in data and tools to analyze it. How good is that data? How good are those insights? Can we trust them? How can we make our predictive models more accurate? What lessons can we learn from the polling data issues that can be applied to our own organizations’ data efforts?