Big data and management: From the Editors

Big data is everywhere. In recent years, there has been an increasing emphasis on big data, business analytics, and "smart" living and work environments. Though these conversations are predominantly practice driven, organizations are exploring how large-volume data can usefully be deployed...

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Main Authors: GEORGE, Gerard, HAAS, Martine R., PENTLAND, Alex
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/4621
https://ink.library.smu.edu.sg/context/lkcsb_research/article/5620/viewcontent/bigdata.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.lkcsb_research-56202022-08-11T07:15:36Z Big data and management: From the Editors GEORGE, Gerard HAAS, Martine R. PENTLAND, Alex Big data is everywhere. In recent years, there has been an increasing emphasis on big data, business analytics, and "smart" living and work environments. Though these conversations are predominantly practice driven, organizations are exploring how large-volume data can usefully be deployed to create and capture value for individuals, businesses, communities, and governments (McKinsey Global Institute, 2011). Whether it is machine learning and web analytics to predict individual action, consumer choice, search behavior, traffic patterns, or disease outbreaks, big data is fast becoming a tool that not only analyzes patterns, but can also provide the predictive likelihood of an event. 2014-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/4621 info:doi/10.5465/amj.2014.4002 https://ink.library.smu.edu.sg/context/lkcsb_research/article/5620/viewcontent/bigdata.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business Management Sciences and Quantitative Methods Strategic Management Policy
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Business
Management Sciences and Quantitative Methods
Strategic Management Policy
spellingShingle Business
Management Sciences and Quantitative Methods
Strategic Management Policy
GEORGE, Gerard
HAAS, Martine R.
PENTLAND, Alex
Big data and management: From the Editors
description Big data is everywhere. In recent years, there has been an increasing emphasis on big data, business analytics, and "smart" living and work environments. Though these conversations are predominantly practice driven, organizations are exploring how large-volume data can usefully be deployed to create and capture value for individuals, businesses, communities, and governments (McKinsey Global Institute, 2011). Whether it is machine learning and web analytics to predict individual action, consumer choice, search behavior, traffic patterns, or disease outbreaks, big data is fast becoming a tool that not only analyzes patterns, but can also provide the predictive likelihood of an event.
format text
author GEORGE, Gerard
HAAS, Martine R.
PENTLAND, Alex
author_facet GEORGE, Gerard
HAAS, Martine R.
PENTLAND, Alex
author_sort GEORGE, Gerard
title Big data and management: From the Editors
title_short Big data and management: From the Editors
title_full Big data and management: From the Editors
title_fullStr Big data and management: From the Editors
title_full_unstemmed Big data and management: From the Editors
title_sort big data and management: from the editors
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/lkcsb_research/4621
https://ink.library.smu.edu.sg/context/lkcsb_research/article/5620/viewcontent/bigdata.pdf
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