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Digital Data Streams: Creating Value from the Real-Time Flow of Big Data

California Management ReviewPublished 1 May 2016
Federico Pigni, Gabriele Piccoli, Richard T. Watson
Citations167
SJR quartileQ1
SJR score2.42

TL;DR

The characteristics of DDSs are discussed, their common structure is described, and a set of guidelines to enable firms to profit from their untapped potential are offered.

Abstract

There is no escaping the Big Data hype. Vendors are peddling Big Data solutions; consulting firms employ Big Data specialists; Big Data conferences are aplenty. There is a rush to extract golden nuggets (of insight) from mountains (of data). By focusing merely on the mountain (of Big Data), these adventurers are overlooking the source of the revolution—namely, the many digital data streams (DDSs) that create Big Data—and the opportunity to improve real-time decision making. This article discusses the characteristics of DDSs, describes their common structure, and offers guidelines to enable firms to profit from their untapped potential.

Keywords

Decision SciencesBusiness, Management and Accounting