scholarly journals Information Technology Tools Analysis in Quantitative Courses of IT-Management (Case Study: M.Sc. - Tehran University)

2009 ◽  
Vol 2 (3) ◽  
Author(s):  
Abbas Toloie Eshlaghy ◽  
Haydeh Kaveh
2016 ◽  
Vol 78 (6-3) ◽  
Author(s):  
Marojahan Mula Timbul Sigiro

 Most of organizations or companies nowadays heavily rely on the Information Technology to manage their activity. They deploy many servers and application which each of them handle or keep specific tasks. File server, email server, user account, application server and many others. These resources are stored and manage by servers that may have different configuration and different platform. To manage these resources is a complicated task because of those different attribute and platform. DS-Dashboard is a system that provides transparency to manage user’s resources that distributed on different servers. A different approach is taken where the resources seen as attribute or part of main resources which is user.


Author(s):  
Mohamad Ali Noruozzadeh

The purpose of this study was investigating the effect of applying business intelligence in improving information technology management of organization based on data of software companies in Tehran province using data mining techniques in Clementine environment entitled BI-IT.DM.  The data is based on a sample of 12,000 data and reports from software companies in Tehran province during the years 2013 to 2018, available in the Organization of Computer Guild of Iran. The initial and proposed model of research was developed after conducting a case study in software companies in Tehran province. The most important results of this study are that the main predictors of the model are predictors of "business intelligence for business IT services strategy with data code (A5)" with predictive weight of 0.34%, predictor "business intelligence for continuous improvement of business IT services with data code (A1) with predictive weight 0.30%, predictor "business intelligence for business IT services transfer with data code (A3). Finally, in order to apply business intelligence to improve the organization's information technology management, the top companies were categorized into six groups (Class A-F), with optimal ratios of the likelihood of successful use of BI in the organization.


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