This study evaluates the strategic integration of digital transformation methodologies within aerospace components manufacturing industry, focusing on enhancing the quote generation process for Request for Proposal (RFP) and Request for Quote (RFQ) through advanced digital technologies. By synthesizing the National Institute of Standards and Technology (NIST) Cybersecurity Framework, the VEE Life Cycle Model, and Cisco's Digital Transformation Model, we aim to develop a secure, efficient, and adaptive digital organization. The paper details the systematic approach of cybersecurity measures, data integration tools, and process automation to optimize workflow and improve and generate reliable quotes in an efficient manner. The study highlights the challenges of digital transformation, including the integration management of cybersecurity risks. Suggested solutions will result in significant improvements in process efficiency and data management, addressing cybersecurity using industry best-practices. The paper proposes future strategies focusing on the use of Artificial Intelligence (AI) and Machine Learning (ML) for predictive analytics and system optimization, advocating for an agile, data-driven approach. The findings suggest that with careful planning, comprehensive risk management, and continuous improvement, digital transformation can significantly enhance the accuracy and efficiency of quoting process, positioning industry for long-term success in a dynamic business environment.