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Raths, David – Campus Technology, 2012
With their budgets under increasing pressure, many campus IT directors are considering open source projects for the first time. On the face of it, the savings can be significant. Commercial emergency-planning software can cost upward of six figures, for example, whereas the open source Kuali Ready might run as little as $15,000 per year when…
Descriptors: Cost Effectiveness, Computer Software, Open Source Technology, Online Vendors
Ramaswami, Rama – Campus Technology, 2010
Back in the 1990s, enterprise resource planning (ERP) systems may not have been user-friendly, but what they tried to do was totally reasonable: replace stand-alone systems in various departments--such as finance, logistics, and human resources--with a single integrated software program. The idea was that although each department would still have…
Descriptors: Computer Software, Technology, Technology Integration, Colleges
Voyles, Bennett – Campus Technology, 2007
People know about the Sakai Project (open source course management system); they may even know about Kuali (open source financials). So, what is the next wave in open source software? This article discusses business intelligence (BI) systems. Though open source BI may still be only a rumor in most campus IT departments, some brave early adopters…
Descriptors: Management Systems, Community Action, Computer Software, Information Technology
Panettieri, Joseph C. – Campus Technology, 2007
This article discusses open source projects which may free universities from expensive, rigid commercial software. But will the rewards outweigh the potential risks? The Kuali Project involves multiple universities writing and sharing code for their financial and operational systems. Another, the Sakai Project, is a community source platform for…
Descriptors: Management Systems, Computer Software, Higher Education, Universities
Schaffhauser, Dian – Campus Technology, 2009
Using data to track and manage student enrollment is steadily becoming a standard practice on both two-year and four-year campuses. Data mining enables colleges to create predictive models for identifying behaviors that put students at risk for dropping out, flag students who engage in these behaviors, and help identify practices that work in…
Descriptors: Community Colleges, Educational Strategies, Academic Support Services, Attendance Patterns