Decision Support System for Operational, Financial, Performance and Risk Indicators of Maturity Models over Cloud-Based Software

The safe continuation of ordinary and critical processes defined in information systems and the operational, financial and security management of hardware and services that change with their priorities require dynamic information technology management. With automated inventory collection studies, it is possible to bring edge assets closer to local end server data sources. However, in cloud-based architectures, a dynamic computing framework solution can be presented by using intelligent assets. Intelligent assets' insight the data at the source with artificial intelligence algorithms and improved response times with the selection of the data to be sent to business intelligence dashboards, managerial significance - with added value - can be mapped - information is important in maturity leveling studies. Positioning the agent to the asset and sending selective data over the service can provide powerful advantages in optimum use of bandwidth. In this way, continuous data flow can be provided, on the other hand, by combining maturity models, it can be transformed into consistent - automated repeatable information. Cost is an important factor in all technology investments. In infrastructures where all assets can communicate, dynamically performing cost and risk management, showing cost losses, adding to the information security risk management methodology will provide convenience to those who manage the system in terms of controllability.