This paper covers Big Data adoption trends, entry & exit criteria for the vendor and product selection, best practices, customer success story, benefits of Big Data analytics, summary and conclusion. Our analysis illustrates that the Big Data analytics is a fast-growing, influential practice and ...
In the area of infectious diseases, the application of big data analytics has introduced a number of changes in the information accumulation models. These are discussed by comparing the traditional and new models of data accumulation. Big data analytics is fast becoming a crucial component for the...
Address: Huawei Industrial Base Bantian, Longgang Shenzhen 518129 People's Republic of China Website: http://www.huawei.com 1 Huawei iLab 2015 Technical Report Contents 1 Big Data Analytics Report (from Huawei iLab) 2 Featured Topics on U-vMOS Huawei iLab is a powerhouse in new fixed-network...
Smart Learning Environmentsis calling for submissions to our Collection on Educational Big Data Analytics for Promoting Smart Learning. This special issue aims to capture the current classroom practices of frontline teachers and the adaptive mechanisms to fulfil different students' learning paces in additio...
The research question that has driven this study focuses on: how is "big data analytics" different from traditional analytics in the e-commerce environment in creat- ing business value? To answer this research question, the pa- per aims to provide a general taxonomy to broaden the under- ...
Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information about problems such as national intelligence, ...
A central question for information systems (IS) researchers and practitioners is if, and how, big data can help attain a competitive advantage. To address this question, this study draws on the resource-based view, dynamic capabilities view, and on recent literature on big data analytics, and ...
a Big Data deployment typically requires significant systems anddata integration work; introduces new tools andanalytics techniques; and calls for new skills on both thesystems managementand analytics sides. Trying to boil the ocean will result only in doing too much, too fast—a recipe for frustra...
How can big data help to understand the migration phenomenon? In this paper, we try to answer this question through an analysis of various phases of migration, comparing traditional and novel data sources and models at each phase. We concentrate on three phases of migration, at each phase desc...
Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information