Tim Macer interviews Mario Callegaro, a senior research scientist at Google, about why companies use DIY research, the key issues to be considered and the most important skills and capabilities that a DIY researcher should possess.
Let’s start with your definition of what DIY research is.
Deep learning and artificial intelligence are disrupting as well as enriching research and analytics. We go to tech-pioneering North America and ask some of the industry’s frontrunners how will this affect research and what is needed to create the next paradigm of knowledge based consumer insights?
A strong presence in the social media networks that matter is crucial for brands. But how do companies know where to socialise in order to reach the desired demographic? How can research and analytics help?
By Finn Raben
Over the weekend the New York Times and Observer newspapers reported that data mining and analysis company Cambridge Analytica, a company that had been employed with considerable success by Donald Trump in the 2016 US presidential campaign, had illegally harvested 50 million Facebook profiles in order to build a powerful software program to predict and influence choices at the ballot box. The Observer reports that data was collected via a digital app on the Facebook platform where hundreds of thousands of users were paid to take a personality test and agreed to have their data collected for academic use. However, the app also collected the information of the test-takers’ Facebook friends.