عنوان انگلیسی مقاله:
Big Data sources and methods for social and economic analyses
ترجمه فارسی عنوان مقاله:
منابع داده های بزرگ و روش های تجزیه و تحلیل اجتماعی و اقتصادی
Sciencedirect - Elsevier - Technological Forecasting & Social Change, 130 (2018) 99-113: doi:10:1016/j:techfore:2017:07:027
Desamparados Blazquez, Josep Domenech*
The Data Big Bang that the development of the ICTs has raised is providing us with a stream of fresh and
digitized data related to how people, companies and other organizations interact. To turn these data into
knowledge about the underlying behavior of the social and economic agents, organizations and researchers must
deal with such amount of unstructured and heterogeneous data. Succeeding in this task requires to carefully plan
and organize the whole process of data analysis taking into account the particularities of the social and economic
analyses, which include the wide variety of heterogeneous sources of information and a strict governance policy.
Grounded on the data lifecycle approach, this paper develops a Big Data architecture that properly integrates
most of the non-traditional information sources and data analysis methods in order to provide a specifically
designed system for forecasting social and economic behaviors, trends and changes.
Keywords: Big Data architecture ، Forecasting ، Nowcasting ، Data lifecycle، Socio-economic data ، Non-traditional data sources ، Non-traditional analysis methods