Nicole Laskowski of Search CIO reports, “Traditional data analytics has three rungs: descriptive, predictive and prescriptive analytics. But Scott Mongeau doesn’t believe the ladder goes far enough — especially as businesses reach to make better decisions based on big data analytics and data science. A business analytics consultant for Deloitte Nederland, Mongeau believes both the rigorous testing of models (what he calls diagnostics) and a better way to describe the meaning and context of projects to computers (what he calls semantic analysis) need to be built into the three rungs if data analytics is going to help solve big problems. He argued that without the rigorous testing of analytical models and semantic analysis and a social network in which to share the theories behind analytical models — big data analytics will be susceptible to bias and, in the end, fail to help people make better decisions.” Read more