With the advent of technologies that connect more people, machines and processes to one another, the importance of advanced analytics and machine learning is growing fast. But the effort to derive maximum benefit from those advanced analytics is still limited in most organizations by the human element. Data scientists, seen as the only people sufficiently trained to navigate big data successfully, have become the bottleneck.
This paper examines the evolving role of the citizen data scientist, empowered to fill in where there are not enough traditional data scientists to go around. Powerful software tools like Statistica allow trained data scientists to develop models around advanced data analytics, machine learning and algorithmic business, then make them available to the line-of-business (LOB) managers and users who need them to make better decisions.