Importance of data analytics

 

“In times in which data streams are constantly growing and companies are extracting valuable decision-making rationale from troves of data, the methods and techniques for analyzing data must be further developed accordingly – beyond the limits of the currently feasible,” says Alexander Martin. In explaining what he means by this, he is direct and to the point: “I’m interested in problems for which there is currently either no solution at all or no satisfactory one and where the methods come up against their limits. So that we can push back the boundaries of the calculable a bit.”

 

Often it’s about explaining something that originally couldn’t be explained. Artificial intelligence techniques discover connections and relationships, and the methodical analysis of data and the subsequent optimization and utilization based on this analysis furnish new insights for the application.