Big Data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it. (Dan Ariely – on his facebook page)
Working with our clients, Markus and me often find that Big Data is being defined very much from the technology perspective, i.e. “what infrastructure and algorithms can we use to analyse our data?” What is often really missing however, is a business perspective, addressing „what business-relevant questions do we want to answer using the data available?“
We believe that looking at the different types or horizons of innovation in conjunction with the related management objectives can help answer this question. There are proven and structured innovation tools and methods that can be applied for every one of the horizons. And there are systematic ways to apply them in the context of Big Data. More on this in our talk at DS 2014 in Salzburg here!