Paper Type
Research-in-Progress Paper
Abstract
Using the ubiquitous satellites, smart phones and personal devices, users are generating big data and multimedia effortlessly. These multimedia (including text, audio, photos, video, images) are geo-coded and time-stamped (spatio-temporal data). Unfortunately, the share volume, velocity, variety, and variability of spatio-temporal data pose serious challenges to the current spatio-temporal data analysis tools for understanding and identifying which data are critical to improving our tactic or strategic decision making. To address this issue, our study presents how Fourier decomposition analysis and surface curvature signature, a novel business intelligence technique, can be used to enhance the visualization of big data for business decision making and competitive advantage. We use hydrogeological well data to test the technique; and the results have practical implications that can be applied by organizations to track extreme market conditions, follow online shopping behavior of web users and gain knowledge for better decision-making.
Recommended Citation
Samuel-Ojo, Olusola; Olfman, Lorne; Reinen, Linda A.; Flenner, Arjuna; Oglesby, David D.; Funning, Gareth J.; and Idemudia, Efosa C., "A Novel Business Intelligence Technique to Improve High Performance within an Organization Applying Insights from Hydrogeological Case" (2013). AMCIS 2013 Proceedings. 11.
https://aisel.aisnet.org/amcis2013/BusinessIntelligence/RoundTablePresentations/11
A Novel Business Intelligence Technique to Improve High Performance within an Organization Applying Insights from Hydrogeological Case
Using the ubiquitous satellites, smart phones and personal devices, users are generating big data and multimedia effortlessly. These multimedia (including text, audio, photos, video, images) are geo-coded and time-stamped (spatio-temporal data). Unfortunately, the share volume, velocity, variety, and variability of spatio-temporal data pose serious challenges to the current spatio-temporal data analysis tools for understanding and identifying which data are critical to improving our tactic or strategic decision making. To address this issue, our study presents how Fourier decomposition analysis and surface curvature signature, a novel business intelligence technique, can be used to enhance the visualization of big data for business decision making and competitive advantage. We use hydrogeological well data to test the technique; and the results have practical implications that can be applied by organizations to track extreme market conditions, follow online shopping behavior of web users and gain knowledge for better decision-making.