@inproceedings{c66d9c2bcaed4d61a7069c0d938803ba,
title = "Application of Predictive Analytics at Financial Institutions: A Systematic Literature Review",
abstract = "The issues that relate with the automatics and intelligent tracing of the transaction and banking customer become the main issues nowadays. Whereas most of transaction that already moved to digital and online transaction that needed more intelligent features on the Predictive Analyst. The rise of predictive analytics (PA) is one of the biggest disruptions in financial services. In the last years, PA methods grew sharply to give the baseline of data driven decision-making process for forecasting future business situation. PA uses various algorithms to discover different patterns in the big data environment that might create more value for businesses including in financial institutions. The potential implementation of data science in financial industry is still to be explored. In this paper, we summarize work done on PA at financial industry. We also explore the potential application of PA and investigating how data science and big data is going to be used in financial institutions in the future.",
keywords = "big data, data science, financial institutions, predictive analytics",
author = "Elisa Indriasari and Haryono Soeparno and Gaol, \{Ford Lumban\} and Tokuro Matsuo",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 ; Conference date: 07-07-2019 Through 11-07-2019",
year = "2019",
month = jul,
doi = "10.1109/IIAI-AAI.2019.00178",
language = "English",
series = "Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "877--883",
booktitle = "Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019",
address = "United States",
}