In oil and gas industries, monitoring the control network is crucial and challengeable. It is very important to have a centralized control room to get a clear and real overview of the plant .Currently, most industries are being controlled by modern control technologies that are capable of evolution, and a way forward for distributed decisions making such as Distributed Control System (DCS). DCS is a distributed control system that has various nodes and I/O devices connected through dedicated network. A major challenge of DCS is to gather a vast critical data from different systems in one overview, and this is due to the lack of a common interface between various system components. Therefore, the Automation Systems Function department at Petroleum Development Oman (PDO) has designed and developed one dedicated dashboard system called Baseera to tackle this issue. Baseera is a software that has inter-operability for all various DCS systems used in PDO. Baseera aims to gather all specific DCS systems data in one dashboard and introduces these data in a meaningful and statistical aspect. Such data are the date related to the Safety Instrumented System (SIS) and the Operation Technology (OT) health dashboards. However, due to the slowness of the dashboards while they are important, Baseera needs to be improved to solve this issue. Extraction, Transformation and Loading (ETL) is a layer within Baseera system that can be used to improve the scan time of the SIS and OT health dashboards. The improvements need more efforts and investigations from researchers in order to apply some algorithms in ETL software layers to get the desired performance results. Therefore, the conceptual structure concept of database design is utilized in this thesis. Moreover, the task scheduler is used to measure the performance of the new system before and after the improvements that we have done, mainly in terms of scan time. The results obtained show that in general, the scan time of SIS dashboard decreased significantly from 30 min to about 22 seconds. In addition, the scan time of the OT health dashboard decreased by a factor of 6 compared to the last module before the improvements with an increment in the rate of scan of about 15 times. This work demonstrates that the ETL offers a good solution that can have a positive impact on the control systems used in the oil and gas industrial business.