International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Decision Support System Using Data Warehouse For Top Marketer

[Full Text]



Abba Suganda Girsang, Sani Muhamad Isa, Sherly Oktafiani, Gannisnahayu Dinda



Marketing, Data Warehouse, Bonus System, Decision Support System.



Marketing is an important thing that greatly influences the growth of the company. If marketing performance is good, then the company will also develop well. But in today's conditions, we often find that marketing motivation is often overlooked or not too cared for. So that performance decreases and will be very detrimental to the company. However, marketing motivation needs to be improved by determining the top marketers through a bonus system. Where the use of data warehouse will be carried out as the best Decision Support System (DSS) for manager in determining the top marketers. With the use of data warehouses, large amounts of data can be prayed in such a way as to produce information that is useful for managers in decision making.



[1] IYER, Sailesh S.; LAKHTARIA, Kamaljit I. Proposed Healthcare Model using Data Warehouse, OLAP and Data Analytics. 2017.
[2] CHEN, Qiming; HSU, Meichun; DAYAL, Umeshwar. A data-warehouse/OLAP framework for scalable telecommunication tandem traffic analysis. In: Data Engineering, 2000. Proceedings. 16th International Conference on. IEEE, 2000. p. 201-210.
[3] CHAUDHURI, Surajit; DAYAL, Umeshwar. An overview of data warehousing and OLAP technology. ACM Sigmod record, 1997, 26.1: 65-74.
[4] EL-SAPPAGH, Shaker H. Ali; HENDAWI, Abdeltawab M. Ahmed; EL BASTAWISSY, Ali Hamed. A proposed model for data warehouse ETL processes. Journal of King Saud University-Computer and Information Sciences, 2011, 23.2: 91-104.
[5] RAO, Fangyan, et al. Spatial hierarchy and OLAP-favored search in spatial data warehouse. In: Proceed-ings of the 6th ACM international workshop on Data warehousing and OLAP. ACM, 2003. p. 48-55.
[6] KIMBALL, Ralph; ROSS, Margy. The data warehouse toolkit: The definitive guide to dimensional modeling. John Wiley & Sons, 2013.
[7] TRUJILLO, Juan; LUJÁN-MORA, Sergio. A UML based approach for modeling ETL processes in data ware-houses. In: International Conference on Conceptual Modeling. Springer, Berlin, Heidelberg, 2003. p. 307-320.
[8] WHITE, Mason. Big Data vs. Data Warehousing. 2018.
[9] ANDERSEN, Ove; THOMSEN, Christian; TORP, Kristian. SimpleETL: ETL Processing by Simple Specifications. In: 20th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with 10th EDBT/ICDT Joint ConferenceInternational Workshop on Data Warehousing and OLAP. 2018.
[10] MUKHERJEE, Rajendrani; KAR, Pragma. A Comparative Review of Data Warehousing ETL Tools with New Trends and Industry Insight. In: Advance Computing Conference (IACC), 2017 IEEE 7th International. IEEE, 2017. p. 943-948.
[11] GEORGE, Joseph; KUMAR, V.; KUMAR, S. Data warehouse design considerations for a healthcare business intelligence system. In: World congress on engineering. 2015.
[12] MEEHAN, John, et al. Data Ingestion for the Connected World. In: CIDR. 2017.
[13] NARRA, Lekha; SAHAMA, Tony; STAPLETON, Peta. Clinical data warehousing: A business analytics approach for managing health data. 2015.
[14] KHAN, Shahidul Islam; HOQUE, Abu Sayed Md Latiful. Towards development of health data warehouse: Bangladesh perspective. In: Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on. IEEE, 2015. p. 1-6.
[15] WARNARS, Harco Leslie Hendric Spits; RANDRIATOAMANANA, Richard. Datawarehouser: A Data Warehouse artist who have ability to understand data warehouse schema pictures. In: Region 10 Conference (TENCON), 2016 IEEE. IEEE, 2016. p. 2205-2208.