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Managing Information Technology - Coursework Example

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Executive information systems bring along large number of features and functions that makes it easier for the top management to make decisions with regard to the company progress and performance. One of the prime features offered by it is it enables making decisions with regard…
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Download file to see previous pages An added feature of executive Information system is its support for the graphical functions representation. Unlike the predecessor solution providers that only provided data figures, this system through the help of graphs, comparison charts and other similar displays make it possible understanding the scenario in a better manner.
Integration of the internal data with the external variables is another feature function of E.I.S. Creating a budget that is in line with the needs of the organization is also made possible through this utility feature system. Owing to their excellent output, their increased productivity and reduced hassle, the larger enterprises and front runner business trend setters have adopted these systems into their networks.
Data mining is a modern trend that has emerged with the evolution of the information technology based support systems. As the name would imply, it is the investigation and assessment of the different variables and different data sheets and facts through a certain critical viewing and perspective.
The two concepts are equally intertwined, while data mining is related to the dissected and detailed investigation and assessment of the overall facts and data at hand, the data warehouse in contrast serves as a repository of information and overall monitoring level tool and software support system.
Number of techniques and strategies can be adopted with regard to the data mining process and utilization of the software. Two of the most commonly used techniques include clustering and classification techniques.
Through the technique of clustering different set of variables may be brought together for a cumulative assessment of key variables. The cluster technique allows targeting and segregating two set of variables and responders in a data set collected from a survey or any other observational study undertaken.
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