Data science as an innovation challenge: From big data to value proposition
How best can we retrieve value from the rich streams of data in our profession, and introduce a solid, systematic process for analyzing that data? Here Kayser et al. describe such a process from the perspective of data science experts at Ernst & Young, offering a model that "aims to structure and systematize exploratory analytics approaches." After discussing the building blocks for value creation, they suggest a thorough process of developing analytics approaches to data analytics. They conclude that "[t]he process as described in this work [effectively] guides personnel through analytics projects and illustrates the differences to known IT management approaches."