AN IMPLEMENTATION OF “DECISION MAKER FOR EDUCATIONAL DOMAIN
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 5
Abstract
Utilizing a decision support system is a proactive way to use data to manage, operate, and evaluate educational institute in a better way. Depending on the quality and availability of the underlying data, such a system could address a wide range of problems by distilling data from any combination of education records maintenance system. The data mining from data warehouse can be a ready and effective system for the decision makers. Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouses standardize the data across the organization so as to have a single view of information. Data warehouses can provide the information required by the decision makers. Developing a data warehouse for educational institute is the less focused area since educational institutes are non-profit and service oriented organizations. In present day scenario where education has been privatized and cut throat competition is prevailing, institutes needs to be more organized and need to take better decisions. Institute’s enrollments are increasing as a result of increase in the number of branches and intake. Now a day, any reputed Institute’s enrollments count in to thousands. The cost of building a data warehouse is expensive for any educational institution as it requires data warehouse tools for building data warehouse and extracting data using data mining tools from data warehouse. The present study provides an option to build data warehouse and extract useful information using data warehousing and data mining open source tools. In this paper we have explored the need of data warehouse / business intelligence for an educational institute, the operational data of an educational institution has been used for Experimentation. The present study provides an option to build data warehouse and extract useful information using data warehousing and data mining open source tools.
Authors and Affiliations
Shabina Kausar
Keywords
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- EP ID EP96031
- DOI 10.5281/zenodo.51445
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