Improving the decision-making process using an information management system
Date
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Journal ISSN
Volume Title
Publisher
International Journal of Current Research
Abstract
The ability to make effective decisions is crucial to an organization’s survival in today’s tumultuous business environment. In order for firms to evaluate alternatives and make informed choices they must have reliable and timely data upon which to make their decisions. Consequently, the development of effective information management techniques is critical. In this research a web-based information management system is developed for better decisionmaking. Two agents are integrated in the system, namely; mapping agent and extraction agent. The mapping agent reduces the workload for users charged with the responsibility of data entry. The extraction agent is designed to aid in the retrieval of current, timely and relevant data, eliminating unnecessary information. The critical information requirements are identified and a prototype is developed for verification. The prototype is developed using PHP language for the system interfaces with GD for providing a graphical reporting supported by a MySQL database. The system is implemented and tested at a Kenyan based Internet Service Provider. As a result, the organization under study increases its sales through improved targeted marketing and monitoring of the outcome. The user load is also reduced by half and the risk of data input errors minimized by 80%.
Description
Research article published on Special Issue of International Journal of Current Research. Also available online at http://www.journalcra.com.
The ability to make effective decisions is crucial to an organization’s survival in today’s tumultuous business environment. In order for firms to evaluate alternatives and make informed choices they must have reliable and timely data upon which to make their decisions. Consequently, the development of effective information management techniques is critical. In this research a web-based information management system is developed for better decisionmaking. Two agents are integrated in the system, namely; mapping agent and extraction agent. The mapping agent reduces the workload for users charged with the responsibility of data entry. The extraction agent is designed to aid in the retrieval of current, timely and relevant data, eliminating unnecessary information. The critical information requirements are identified and a prototype is developed for verification. The prototype is developed using PHP language for the system interfaces with GD for providing a graphical reporting supported by a MySQL database. The system is implemented and tested at a Kenyan based Internet Service Provider. As a result, the organization under study increases its sales through improved targeted marketing and monitoring of the outcome. The user load is also reduced by half and the risk of data input errors minimized by 80%.
The ability to make effective decisions is crucial to an organization’s survival in today’s tumultuous business environment. In order for firms to evaluate alternatives and make informed choices they must have reliable and timely data upon which to make their decisions. Consequently, the development of effective information management techniques is critical. In this research a web-based information management system is developed for better decisionmaking. Two agents are integrated in the system, namely; mapping agent and extraction agent. The mapping agent reduces the workload for users charged with the responsibility of data entry. The extraction agent is designed to aid in the retrieval of current, timely and relevant data, eliminating unnecessary information. The critical information requirements are identified and a prototype is developed for verification. The prototype is developed using PHP language for the system interfaces with GD for providing a graphical reporting supported by a MySQL database. The system is implemented and tested at a Kenyan based Internet Service Provider. As a result, the organization under study increases its sales through improved targeted marketing and monitoring of the outcome. The user load is also reduced by half and the risk of data input errors minimized by 80%.
Keywords
Information management, Integration, Spreadsheets, Decision making, Information overload.