Business or Research Case: Describing the Rationale Behind a Data Analysis Project
Potential clients/customers are expected to complete the form with this LINK.
Project Rationale
1. Business or Research Context
– Provide an overview of the business, research context, industry, or clinical or community health background relevant to the project.
– Describe the current challenges, opportunities, or pain points that the organization, target population, or health system is facing.
2. Problem Statement
– Clearly articulate the specific problem or opportunity that the project aims to address.
– Explain the impact or consequences of not addressing this problem or opportunity.
3. Stakeholder Needs
– Identify the key stakeholders (e.g., business units, clinical or community settings, customers, target population or patient, partners) and their specific needs or requirements related to the project.
– Highlight any gaps or inefficiencies in current processes, in identifying the problem, in the current solutions, and in management of the condition or gap in knowledge that need to be addressed.
4. Potential Benefits
– Outline the potential benefits or value that the project can deliver to the organization, community, target population, patients, or stakeholders.
– These may include cost savings, revenue growth, improved efficiency, better decision-making, competitive advantage, quality patient care, reduce morbidity or mortality, improved quality of life, improved chance of survival, prolonged duration of disease free period, improved community health, or customer satisfaction.
5. Data Availability and Quality
– Describe the availability and quality of data sources relevant to the project.
– Discuss any data challenges or limitations that need to be addressed, such as incomplete data, data silos, or data quality issues.
6. Existing Solutions and Limitations
– Provide an overview of any existing solutions or approaches currently in place to address the problem or opportunity.
– Highlight the limitations or shortcomings of these existing solutions that justify the need for a new or improved approach.
7. Proposed Approach
– Explain the proposed data analysis approach or methodology that will be employed in the project.
– Discuss how this approach aims to overcome the limitations of existing solutions and address the identified problem or opportunity effectively.
8. Alignment with Organizational Goals
– Demonstrate how the project aligns with the organization’s or Research study’s broader strategic goals, objectives, or initiatives.
– Highlight the potential impact or contribution of the project to achieving these organizational or research goals.
9. Resource Requirements
– Outline the anticipated resource requirements for the project, including personnel, technology, infrastructure, or budget considerations.
– Discuss the feasibility and availability of these resources within the organization or for the research.
10. Risks and Mitigation Strategies
– Identify potential risks or challenges associated with the project, such as data quality issues, technical limitations, or organizational barriers or research limitation.
– Discuss potential mitigation strategies or contingency plans to address these risks.
By clearly articulating the project rationale, you can justify the need for the data analysis project, align stakeholders’ expectations, and set the foundation for a successful project execution.