Description
Part II of the workshop on Big Data and Location Analytics will provide a thorough overview of location analytics solutions for Big Data. As organizations increasingly deploy powerful analytics solutions to better understand and analyze Big Data, the location component of Big Data is often left unexplored while making decisions. Location Analytics solutions seamlessly integrate Geographic Information Systems based analytical methods with enterprise BI platforms to deliver high impact analytics. Such solutions provide a unified view and real-time information about organizational assets, help to identify patterns in georeferenced data, and assist with evidence and data-driven decision-making. One such location analytics solution, built on a leading BI platform and developed by Esri, a renowned geotechnology organization will be demonstrated. Use cases and value addition aspects of location analytics will be presented by an industry keynoter. The topic is consistent with the “Blue Ocean IS Research” theme of this AMCIS conference.
Recommended Citation
Farkas, Daniel; Hilton, Brian; Pick, James; Ramakrishna, Hindupur; Sarkar, Avijit; and Shin, Namchul, "Big Data and Location Analytics II: Applications, Opportunities, and Challenges" (2015). AMCIS 2015 Proceedings. 4.
https://aisel.aisnet.org/amcis2015/Workshops/GeneralPresentations/4
Big Data and Location Analytics II: Applications, Opportunities, and Challenges
Part II of the workshop on Big Data and Location Analytics will provide a thorough overview of location analytics solutions for Big Data. As organizations increasingly deploy powerful analytics solutions to better understand and analyze Big Data, the location component of Big Data is often left unexplored while making decisions. Location Analytics solutions seamlessly integrate Geographic Information Systems based analytical methods with enterprise BI platforms to deliver high impact analytics. Such solutions provide a unified view and real-time information about organizational assets, help to identify patterns in georeferenced data, and assist with evidence and data-driven decision-making. One such location analytics solution, built on a leading BI platform and developed by Esri, a renowned geotechnology organization will be demonstrated. Use cases and value addition aspects of location analytics will be presented by an industry keynoter. The topic is consistent with the “Blue Ocean IS Research” theme of this AMCIS conference.