The text highlights the significant challenges faced in selecting and preparing geographic datasets for vaccine planning and delivery, emphasizing the substantial time, cost, and expertise involved. A project in South East Asia revealed that data-related issues accounted for 70-80% of its duration, illustrating a common inefficiency in similar projects requiring mapping and analysis. This often leads to duplicated efforts among partners in National Deployment and Vaccination Plans, resulting in increased costs and delays. The presence of outdated, incomplete, or unreliable datasets further worsens these challenges. To address these issues, the text proposes implementing an integrated data package model, which could enhance scalability and adaptability in public health and humanitarian initiatives, especially in the area of communicable diseases.