The Myths of G-Tech for Business Decision Making

More than 80% of organisation data are location related - the locations where transactions are done, where retailers are found, and of customers who buy their products. Since the early 2005, there has been an increasing interest among the business community to use geospatial technology to enhance de...

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Main Author: KAM, Tin Seong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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Online Access:https://ink.library.smu.edu.sg/sis_research/2098
https://ink.library.smu.edu.sg/context/sis_research/article/3097/viewcontent/AsiaGeospatialForum2013_EnterpriseGIS.pdf
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spelling sg-smu-ink.sis_research-30972014-02-26T10:13:41Z The Myths of G-Tech for Business Decision Making KAM, Tin Seong More than 80% of organisation data are location related - the locations where transactions are done, where retailers are found, and of customers who buy their products. Since the early 2005, there has been an increasing interest among the business community to use geospatial technology to enhance decision making process at both strategic and operational levels. Millions of dollars and man-hours have been invested into driving their geo-technology development and implementation. The use of geospatial technology in business, however, tends to confine to simple mapping. Many of these failures are the victims of misperception. Some of the perpetrators are practitioners. If we can dispel persistent stereotypes of the discipline, people will then be able to discover its benefits. This presentation aims to share with you the myths of geospatial technology for business decision-making and how a deeper understanding of these salient features can help you to sail smoothly through the rough sea of geospatial driven business decision-making. The presentation will also share with you our experiences in designing and delivering geospatial driven business analytics education and training programmes at both the undergraduate and professional levels by explicitly incorporating these understanding. 2013-09-24T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2098 https://ink.library.smu.edu.sg/context/sis_research/article/3097/viewcontent/AsiaGeospatialForum2013_EnterpriseGIS.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Enterprise GIS geospatial analytics. Asian Studies Databases and Information Systems Geographic Information Sciences
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Enterprise GIS
geospatial analytics.
Asian Studies
Databases and Information Systems
Geographic Information Sciences
spellingShingle Enterprise GIS
geospatial analytics.
Asian Studies
Databases and Information Systems
Geographic Information Sciences
KAM, Tin Seong
The Myths of G-Tech for Business Decision Making
description More than 80% of organisation data are location related - the locations where transactions are done, where retailers are found, and of customers who buy their products. Since the early 2005, there has been an increasing interest among the business community to use geospatial technology to enhance decision making process at both strategic and operational levels. Millions of dollars and man-hours have been invested into driving their geo-technology development and implementation. The use of geospatial technology in business, however, tends to confine to simple mapping. Many of these failures are the victims of misperception. Some of the perpetrators are practitioners. If we can dispel persistent stereotypes of the discipline, people will then be able to discover its benefits. This presentation aims to share with you the myths of geospatial technology for business decision-making and how a deeper understanding of these salient features can help you to sail smoothly through the rough sea of geospatial driven business decision-making. The presentation will also share with you our experiences in designing and delivering geospatial driven business analytics education and training programmes at both the undergraduate and professional levels by explicitly incorporating these understanding.
format text
author KAM, Tin Seong
author_facet KAM, Tin Seong
author_sort KAM, Tin Seong
title The Myths of G-Tech for Business Decision Making
title_short The Myths of G-Tech for Business Decision Making
title_full The Myths of G-Tech for Business Decision Making
title_fullStr The Myths of G-Tech for Business Decision Making
title_full_unstemmed The Myths of G-Tech for Business Decision Making
title_sort myths of g-tech for business decision making
publisher Institutional Knowledge at Singapore Management University
publishDate 2013
url https://ink.library.smu.edu.sg/sis_research/2098
https://ink.library.smu.edu.sg/context/sis_research/article/3097/viewcontent/AsiaGeospatialForum2013_EnterpriseGIS.pdf
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