Advanced Systems Analysis: Design and Implementation Strategies to Support Digital Transformation

Abstract

This study aims to explore the design and implementation of advanced systems that support digital transformation through the integration of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and cloud computing. The study uses a qualitative descriptive approach, involving in-depth interviews with IT managers, systems analysts, and decision makers from ten companies in the technology, finance, manufacturing, and healthcare sectors. The results show that advanced system integration has a significant impact on operational efficiency, increasing productivity by up to 25% and accelerating decision-making processes by an average of 30%. However, several obstacles were found, including infrastructure limitations and employee resistance to technology adaptation. The study also identified that data security is a priority in system design, with the use of multi-layer encryption as a protective measure. The integration model developed in this study strengthens real-time data management, allowing companies to adapt more responsively to market changes. These findings provide practical guidance for companies in optimizing the adoption of advanced systems and addressing digitalization challenges through a more sustainable strategic approach. The results of this study are expected to be an important contribution to the digital transformation literature, especially in the context of implementing comprehensive and secure advanced systems.