10 April 2019
Department heads painstakingly compile reports and analyses filled with data which are sent to executives every week. The pages are barely skimmed, if read at all.
Network and security operation centers line the walls with giant screens, displaying dashboards powered by expensive big data analytics. No one ever takes more than a passing glance on the way to lunch.
If data is so essential, why is it so easily ignored?
Data does not speak for itself. In this talk, we will discuss the difference between data and information. Starting from the first principles of statistical inference and machine learning, we will discuss why many data initiatives fail to make a real impact. We will provide practical suggestions on how to choose which initiatives to invest in, and how to use data to deliver useful and interpretable information.