This paper focuses on the pivotal role that statisticians are challenged to undertake in the Big Data era. Their traditional work of managing variability, complexity, and hidden information is indeed made extremely more complex by the enormous volume of a large variety of data that new technologies are able to provide at high velocity. In detail, the paper briefly discusses few paradigmatic cases of analysis of Big Data in which theoretical, methodological and computational aspects have been fruitfully integrated with specific competences from industry, biology, and finance.

Big Data : the next challenge for statistics / F. Ieva, P. Secchi, S. Vantini. - In: LETTERA MATEMATICA. - ISSN 2281-5937. - 3:3(2015 Sep), pp. 111-120. [10.1007/s40329-015-0085-1]

Big Data : the next challenge for statistics

F. Ieva
Primo
;
2015-09

Abstract

This paper focuses on the pivotal role that statisticians are challenged to undertake in the Big Data era. Their traditional work of managing variability, complexity, and hidden information is indeed made extremely more complex by the enormous volume of a large variety of data that new technologies are able to provide at high velocity. In detail, the paper briefly discusses few paradigmatic cases of analysis of Big Data in which theoretical, methodological and computational aspects have been fruitfully integrated with specific competences from industry, biology, and finance.
Big Data; Statistical Modelling; Hidden information; Dimensional Reduction; Administrative; Data; Reputational Risk; Data Scientist
Settore SECS-S/01 - Statistica
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/362219
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