The first step Accenture could take when approached by a healthcare provider to increase efficiency through an advanced data science platform is to identify and prioritize the specific scenarios and use cases where data science can deliver the most value. This involves generating ideas, articulating the value proposition, ensuring alignment with the healthcare organization's priorities, and obtaining approval and champions for the project. This step is critical to ensure that the data science initiative addresses the most impactful challenges and has organizational support for successful implementation

. Additionally, Accenture would likely begin with a thorough assessment of the healthcare provider’s current data infrastructure and capabilities, including data acquisition, governance, and quality assurance. This helps establish a clear understanding of the existing environment and readiness for advanced analytics and AI deployment

. In summary, the initial step is:

• Collaborate with the healthcare provider to identify and prioritize high-value data science use cases aligned with their strategic goals.
• Assess current data infrastructure, data quality, and governance to prepare for platform implementation.

This approach ensures that the solution is tailored to the provider’s needs and built on a solid data foundation, enabling actionable insights and improved operational efficiency