Big Data and Management
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TLDR
The authors reflect on management of big data by organizations and comment on service level agreements (SLA) which define the nature and quality of information technology services and mention big data-sharing agreements tend to be poorly structured and informal.Abstract:
The authors reflect on management of big data by organizations. They comment on service level agreements (SLA) which define the nature and quality of information technology services and mention big data-sharing agreements tend to be poorly structured and informal. They reflect on the methodologies of analyzing big data and state it is easy to get false correlations when using typical statistical tools in analyzing big data. They talk about the use of big data in management and behavior research.read more
Citations
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Journal ArticleDOI
Big Data, Analisis dan Penerapannya di Pemerintahan dan Publik: Sebuah Review Literatur
Novrizal Novrizal,Eko Prasojo +1 more
TL;DR: In this paper , the authors explain how Big Data or data sourced from the community can be used in public administration, the general public, and policy makers so as to improve the quality of people's lives themselves.
Journal Article
Leveraging Big Data for Competitive Advantage
TL;DR: The findings showed that big data can be a strategic resource and combined with analytics capabilities can create competitive factors both in cost strategy and in differentiation strategy.
Journal ArticleDOI
Governance, Analytics, and Governance Analytics: Creating Value for the Organisation
Peer Review
Research Area: Big Data Analytics in Healthcare
Antony Makoni,W. T. Gwavava +1 more
TL;DR: This review paper will however look mainly into outside Zimbabwe papers where big data analytics have been in use for some time, and has become a topic of special interest for the past 2 decades or so.
Journal ArticleDOI
The Big Data Thinking from the Perspective of Chinese Traditional Philosophy
TL;DR: There is an interrelation between big data thinking and Chinese traditional philosophy, and the latter has certain reference and guiding significance for the development ofbig data thinking in the era of big data.
References
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Book
Big data: The next frontier for innovation, competition, and productivity
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Book
Consilience: The Unity of Knowledge
TL;DR: One of the world's greatest living scientists argues for the fundamental unity of all knowledge and the need to search for consilience, the composition of the principles governing every branch of learning.
Journal ArticleDOI
Getting Counted: Markets, Media, and Reality:
TL;DR: In this paper, the authors show that early entrants benefit from inviting coverage that makes a few-but not too many-links to other entrants, thus helping audiences perceive an emerging category.
Proceedings ArticleDOI
Understanding the value of (big) data
TL;DR: A simple taxonomy is introduced, rights to access are discussed and the case of big data as a common pool resource is analyzed.