Building a Data Warehouse for Decision Support
Building a Data Warehouse for Decision Support
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Virtual Learning Environments
Microsoft SQL Server 2008 Analysis Services
Microsoft SQL Server 2008 Analysis Services
Methods and Supporting Technologies for Data Analysis
Methods and Supporting Technologies for Data Analysis
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications
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E-learning is becoming more and more prominent at many higher education institutions. While this development has many advantages it also presents the teachers and the administration with new problems and questions, especially related to monitoring and analysis of platform use, including usage statistics, level of adoption at an institution, course activity, among others. We try to answer some of these questions by identifying related indicators and by offering tools that allow analysis and interpretation of results through data warehouse and OLAP technologies, and by building the basis for a future data warehouse that will support decision making. The steps for building a working data warehouse solution and several corresponding analyses are shown using a Moodle e-learning platform used at the University of Rijeka.