Decision making process have to be much more accurate and careful. Therefore, decision makers depend on what-if analysis systems to predict an impact of a specific scenario.
Usually, previous what-if analysis models in the literature have been direc
ted just to predict an impact of a specific scenario. Therefore, our main goal in this approach is to enhance what-if analysis to suggest the best scenarios, in addition to predict their impacts.
Affordable offers are one of the best ways to increase the revenue in telecom companies. Decision makers can predict a potential revenue before launching an offer, depending on what-if analysis system.
This research depends on enhanced k-means algorithm to categorize customers into segments of the same behavior or usage.
The study aims to estimate the requirements of risk management procedures effectiveness in Syrian banking sector, and exams the existence of these requirements by detecting six factors as the requirements of risk management effectiveness according to
the literature. The study used the survey method, the data was collected using a questionnaire developed according to literature review. Fifty questionnaires were send to the employees who work in risk management department in Syrian banks, but only thirty three were received back as an acceptable responses. The data was analyzed using SPSS. This paper showed that the requirements of risk management procedures effectiveness are available in some factors (support from top management, Communication, Information technology ) in banks, and they are not available in others factors( Culture, Organization structure, Training).
