Data Warehouse Design and Build Data Warehouse Using Ontology and Rule Base Method in Supporting Sales and Service Information
Datawarehouse, Ontology and Rule Base
Abstract
Data warehouse makes company data that is spread out become integrated and concise so that it helps managers or top management in analyzing existing data for strategic and fast decision making. With the application of data warehouses using the rule base ontology method, it makes the class of related data relations easier to analyze so that it helps companies monitor the good results of sales data relating to goods, sales locations, turnover values, and data services related to product service, region , technician, and service value
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References
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[3] Sumichan, Andrew. I Made Gede Yudiana. Muhammad Ridwan Satrio. Made Sudarma. “Designing a Virtual Data Warehouse in Supporting Sales Information Needs”. International Journal of Engineering and Emerging Technology, Vol. 4, No. 1, January—June 2019.
[4] Ganda, Wijaya. “Perancangan Data Warehouse Nilai Mahasiswa Dengan Kimball Nine-Step Methodology”. 2017.
[5] Eugenius, “Analisis Dan Perancangan Data Warehouse Untuk Mendukung Keputusan Redaksi Televisi Menggunakan Metode Nine-Step Kimball (Studi Kasus Pada Redaksi Kompas Tv Jakarta)”, 2018.
[6] Sulastra, I Made Dwi Jendra. Made Sudarma. I Nyoman Satya Kumara. “Pemodelan Integrasi Nearly Real Time Data Warehouse dengan Service Oriented Architecture untuk Menunjang Sistem Informasi Retail”. Teknologi Elektro, Vol.14, No. 2, Juli-Desember 2015.
Published
2020-12-14
How to Cite
QUSYAIRI, Muhammad.
Data Warehouse Design and Build Data Warehouse Using Ontology and Rule Base Method in Supporting Sales and Service Information.
International Journal of Engineering and Emerging Technology, [S.l.], v. 5, n. 2, p. 66-71, dec. 2020.
ISSN 2579-5988.
Available at: <https://ojs.unud.ac.id/index.php/ijeet/article/view/60064>. Date accessed: 21 nov. 2024.
doi: https://doi.org/10.24843/IJEET.2020.v05.i02.p011.
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