KAM, Tin Seong

Institutional Knowledge at Singapore Management University

Singapore Management UniversityInstitutional Knowledge at Singapore Management UniversityResearch Collection School Of Information Systems School of Information Systems9-2013The Myths of G-Tech for Business DecisionMakingTin Seong KAMSingapore Management University, tskam@smu.edu.sgFollow this and additional works at: https://ink.library.smu.edu.sg/sis_researchPart of the Asian Studies Commons, Databases and Information Systems Commons, and theGeographic Information Sciences CommonsThis Presentation is brought to you for free and open access by the School of Information Systems at Institutional Knowledge at SingaporeManagement University. It has been accepted for inclusion in Research Collection School Of Information Systems by an authorized administrator ofInstitutional Knowledge at Singapore Management University. For more information, please email libIR@smu.edu.sg.CitationKAM, Tin Seong. The Myths of G-Tech for Business Decision Making. (2013). Asia Geospatial Forum, 24-26 September 2013, KualaLumpur. Research Collection School Of Information Systems.Available at: https://ink.library.smu.edu.sg/sis_research/2098The Myths of G-Tech for Business Decision Making Dr. KAM Tin Seong Associate Professor of Information Systems (Practice) School of Information Systems Singapore Management University                                        2 Content • Three myths of enterprise GIS for business • Geospatial analytics for business intelligence curriculum • Enterprise Geospatial Business Support Systems in action   Myth 1: GIS is special • Focus on integrating several GIS projects/systems into an unified one.                                         3 Source: http://proceedings.esri.com/library/userconf/proc98/proceed/to400/pap363/p363.htm  Enterprise GIS - Business centric view • Focus on integrating geospatial data with other business data                                         4 Integrated Databases Analytics Tools Analytics Tools Data Visualisation Data Visualisation Decision Makers Real world Subsystems Census Market survey Business transactions Sensing data Social media Geospatial data Myths 2: Businesses need GIS map                                         5 Source: http://www.directionsmag.com/articles/san-franciscos-enterprise-gis-forward-thinking-and-politically-correct/123814                                          6 Businesses need Geospatially-Enabled Dashboard Myth 3:  Businesses need GIS analysis                                         7 Businesses need spatial data mining techniques                                         8 • Geospatial Analytics for Business Intelligence                                        9 Our humble initiative (https://wiki.smu.edu.sg/1213t2is415g1/Main_Page)                                          10 GABI Architecture Geospatial Data Server Client Javascript + HTML5 Enterprise Spatial RDBMS Web Server Geospatial Analytics Server csv, json, xls Enterprise data problems • Data rich, information poor                                        11 Non-standardized naming conventions Fragmentation and data inconsistency No integrated system to allow analysis No proper workflow to consolidate data Inefficient and time wasting Static & Ad-hoc Reporting Multi-departments point of contact                                          12 In-Patient   Specialist Outpatient Clinics (SOC) Accident & Emergency Surgical Discharge It’s show time!                                         13 In conclusion • Businesses need enterprise decision support systems with geospatial-enabled analysis. • G-technology is part of the enterprise information system.                                          14 

The Myths of G-Tech for Business Decision Making

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3097&amp;context=sis_research

The Myths of G-Tech for Business Decision Making

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Institutional Knowledge at Singapore Management University