TY - GEN
T1 - Online Travel Agency (OTA) Data Maturity Assessment
T2 - 4th International Conference on Information Management and Technology, ICIMTech 2019
AU - Sekarhati, Dwinanda Kinanti Suci
AU - Nefiratika, Afifah
AU - Hidayanto, Achmad Nizar
AU - Budi, Nur Fitriah Ayuning
AU - Solikin,
PY - 2019/8/1
Y1 - 2019/8/1
N2 - According to survey that was being held by DailySocial to 2030 smartphone users in Indonesia, more than 91 percent of respondents have booked flight tickets via online with more than 86 percent of them have booked through online travel agency (OTA). Flylist is the OTA that has been created by PT Solusi Awan Indonesia and published on August 2018 with the vision to retrieve 20 percent of the cheapest price that has not been sold by premium and non-premium airlines and reduce the risk of losing the chances of selling, refund, and overbooking processg. Flylist's vision is relatively huge and will be difficult for new system. To achieve it, data maturity and management should be assessed. Paper will discuss OTA theory, framework (DMBOK and other framework by James M. B.), IATA theory and inovation, research data from interviewees, and document study that will be assessed with HESA data maturity assessment.Based on data maturity assessment, we found that overall score is level 3 (proactive) with the result is Flylist can be improved by doing recommended data governance, standards compliance, data architecture management and NDC theory on customer service contact, communication, and business intelligence system, technology, data security management activity.
AB - According to survey that was being held by DailySocial to 2030 smartphone users in Indonesia, more than 91 percent of respondents have booked flight tickets via online with more than 86 percent of them have booked through online travel agency (OTA). Flylist is the OTA that has been created by PT Solusi Awan Indonesia and published on August 2018 with the vision to retrieve 20 percent of the cheapest price that has not been sold by premium and non-premium airlines and reduce the risk of losing the chances of selling, refund, and overbooking processg. Flylist's vision is relatively huge and will be difficult for new system. To achieve it, data maturity and management should be assessed. Paper will discuss OTA theory, framework (DMBOK and other framework by James M. B.), IATA theory and inovation, research data from interviewees, and document study that will be assessed with HESA data maturity assessment.Based on data maturity assessment, we found that overall score is level 3 (proactive) with the result is Flylist can be improved by doing recommended data governance, standards compliance, data architecture management and NDC theory on customer service contact, communication, and business intelligence system, technology, data security management activity.
KW - data maturity assessment
KW - DMBOK
KW - flylist
KW - HESA
KW - IATA
KW - James M. Barker
KW - OTA
UR - http://www.scopus.com/inward/record.url?scp=85073185567&partnerID=8YFLogxK
U2 - 10.1109/ICIMTech.2019.8843728
DO - 10.1109/ICIMTech.2019.8843728
M3 - Conference contribution
T3 - Proceedings of 2019 International Conference on Information Management and Technology, ICIMTech 2019
SP - 492
EP - 497
BT - Proceedings of 2019 International Conference on Information Management and Technology, ICIMTech 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 August 2019 through 20 August 2019
ER -