Asking really good questions about what data can describe matters more than collecting more info
Data scientists are important, but what the world needs now is data artists, according to analysts at Gartner's Data and Analytics Summit in Sydney, Australia.
Analysts Sally Parker and Peter Krensky explained that data artists are people who ask wider – even perhaps tangential – questions about data, and what it might reveal once probed by data scientists. To illustrate the concept they shared a case study of a public transport operator in Belgium that used data science in an attempt to learn why some of its vehicles broke down. Mindful of the potential for project sprawl, an analytics team developed a 20-day project plan with half the time spent preparing data and the rest dedicated to developing a model.
That effort did not produce a useful insight – but it did bring the data team in contact with the operations team. Once the latter saw the data about the broken-down buses, they quickly demonstrated they were being used on hilly routes and therefore encountered more stresses.The analysts didn't offer any insight into how to develop data artists. Rather, they suggested that cross-disciplinary collaboration, and being careful not to assume data contains hoped-for insights, are useful steps.
The pair shared the story of 16th century astronomer Tyco Brahe, who conducted extensive observations to prove his belief that Sun orbits the Earth. Brahe's collaborator Johannes Kepler used the same data to prove that the Earth orbits Sol.
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