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Abstract This paper presents a comprehensive framework for Digital Well Planning applied in a deepwater development project in West Africa, integrating data analytics, collaborative workflows, and automation to enhance both planning and execution. The paper demonstrates the successful adoption of a cloud-based application within an open, collaborative environment, enabling optimized workflows and improved well delivery. The scope includes methodologies, processes and outcomes associated with deploying this advanced solution. The approach leverages digital planning methodologies through cloud-based solutions, contrasting with traditional well design and data management practices. The platform facilitates real-time data accessibility and collaboration among all stakeholders. For the initial well, data was systematically stored, enabling subsequent wells to be planned in record time using automated functionalities that ensure coherent well construction design. Historical offset well data were analysed to derive best practices, improving each subsequent well through automated engineering analysis engines operating concurrently in the cloud, promoting collaboration and continuous improvement. The implementation of the platform enhanced collaboration and expertise sharing across projects through an end-to-end workflow. Automated engineering analyses including hydraulics, casing design, torque and drag, and well integrity- were executed within the same environment, reducing planning and validation time and producing a Digital Drilling Program (DDP) ready for execution. Data analytics and Digital Well Planning significantly expedited processes and enhanced overall effectiveness in well planning. The Data Ingestion Framework (DIF) tool played a pivotal role in ingesting and storing post-drilling data for future optimization. This data repository enabled critical workflows such as historical analysis, risk management, probabilistic evaluation, and operational forecasting. Quick access to centralized data combined with automated validation supported informed decision-making and improved design quality. The Drilling Beyond the Limits (DBTL) concept was integrated to define technical limits and optimize drilling parameters, ensuring safety and efficiency. Field results confirmed significant improvements in planning cycle time, design integrity, and execution performance, with automation levels exceeding 90% and Rate of Penetration (ROP) increasing up to three times compared to benchmark wells.