Abstract
Majority of the Higher Learning Institutions are being implemented with information management systems for all the core activities ranging from admission, registration, alumni, graduate and academy operations. The data generated by these integrated information systems are transactional in nature and has been increasing exponentially. However, the use and value of the data has not been fully explored for driving decision-making process. This paper explores the importance of Agile Analytics in Business Intelligence and Data Warehouse development among Higher Learning Institutions. The paper concludes by outlining future directions relating to the development and implementation of an institutional project on data analytics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aloush, S.H.A.: The role of data warehouse in decreasing the time of decision taking. Aust. J. Basic Appl. Sci. 9(5), 216–219 (2015)
Ambara, M.P., Sudarma, M., Kumara, I.N.S.: Desain sistem semantic data warehouse dengan metode ontology dan rule based untuk mengolah data akademik universitas XYZ di Bali. Jurnal Teknologi Elektro 15(1), 1–8 (2016)
Bossung, S., Stoeckle, H., Grundy, J., Amor, R., Hosking, J.: Automated data mapping specification via schema heuristics and user interaction. In: Proceedings of the 19th IEEE International Conference on Automated Software Engineering, University of Illinois at Urbana-Champaign, Illinois, USA, pp. 208–217 (2004). http://dl.acm.org/citation.cfm?id=1025220
Moturi, C.A., Emurugat, A.: Prototyping an academic data warehouse: case for a Public University in Kenya. Brit. J. Appl. Sci. Technol. 8(6), 551–557 (2015)
Collier, K.: Agile Analytics: A Value Driven Approach to Business Intelligence and Data Warehousing. Agile Software Development Series. Pearson, Boston (2012)
George, J., Member, I., Kumar, B.V., Kumar, V.S.: Data warehouse design considerations for healthcare business intelligence system. In: Proceedings of the World Congress on Engineering (WCE) London, UK, pp. 1–4 (2015)
Horakova, M., Skalska, H.: Business intelligence and implementation in a small enterprise. J. Syst. Integr. 4(2), 50–61 (2013)
Ellicium. 5 Data Warehouse implementation mistakes to avoid in Big Data Projects (2017). http://www.ellicium.com/data-warehouse-implementation-mistakes/
Irsyadi, A., Fatah, Y.: Implementasi Data Warehouse dan Data Mining untuk Penentuan Rencana Strategis Penjualan Batik. Jurnal KomuniTi Fakultas Komunikasi dan Informatika, Universitas Muhammadiyah Surakarta. 6(1), 42–58 (2014)
Kumar, S.C., Kumar, S., Mohit, T.V., Mahesh, A.: Data mining techniques for banking applications. Int. J. Res. Stud. Comput. Sci. Eng. (IJRSCSE) 2(4), 15–20 (2015)
Mitchel, T.: Why Data Warehouse Projects Fail (2017). https://www.timmitchell.net/post/2017/01/10/why-data-warehouse-projects-fail/
Nejres, S.M.: Analysis of data warehousing and data mining in education domain. Int. J. Adv. Comput. Sci. Technol. 4(4), 35–38 (2015)
Nisal, S.: SAS programming tips and techniques for data mapping. In: 20th Annual SouthEast SAS Users Group (SESUG) Conference, Seattle, Washington (2012). http://analytics.ncsu.edu/?page_id=202
Prasetyo, A., Soedijono, W.B., Amborowati, A.: Perancangan Data Warehouse untuk Mendukung Perencanaan Pemasaran Perguruan Tinggi. Jurnal Telematika 10(1), 1–22 (2017)
Pusadan, M.Y.: Rancang Bangun Data Warehouse. Graha Ilmu, Yogyakarta (2013)
Rainardi, V.: Building a Data Warehouse with Examples in SQL Server. Apress, New York (2008). http://www.lob.de/pdf/1590599314.pdf
Rizzi, S., Abelló, A., Lechtenbörger, J., Trujillo, J.: Research in data warehouse modeling and design: dead or alive? In: Proceedings of the 9th ACM International Workshop on Data Warehousing and OLAP (DOLAP 2006), pp. 3–10 (2006)
Salinas, S.O., Lemus, A.C.N.: Data warehouse and big data integration. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 9(2), 1–17 (2017)
Sebaa, A., Chikh, F., Nouicer, A., Abdelkamel, T.A.: Research in big data warehousing using hadoop. J. Inf. Syst. Eng. Manage. 2(2), 1–5 (2017)
Shivtare, S., Shela, P.: Data warehouse with data integration: problems and solution. IOSR J. Comput. Eng. (IOSR-JCE) 1(1), 66–71 (2015)
TechTarget: Data warehouse development: four strategic steps (2017). http://searchdatamanagement.techtarget.com/answer/Data-warehouse-development-Four-strategic-steps
Wijaya, G.: Perancangan Data Warehouse Nilai Mahasiswa Dengan Kimball Nine-Step Methodology. Jurnal Informatika 4(1), 1–11 (2017)
Gonçalves, M.J.A., Rocha, Á., Cota, M.P.: Information management model for competencies and learning outcomes in an educational context. Inf. Syst. Front. 18(6), 1051–1061 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Salaki, R.J., Ratnam, K.A. (2018). Agile Analytics: Applying in the Development of Data Warehouse for Business Intelligence System in Higher Education. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_101
Download citation
DOI: https://doi.org/10.1007/978-3-319-77703-0_101
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77702-3
Online ISBN: 978-3-319-77703-0
eBook Packages: EngineeringEngineering (R0)