What do you do if stakeholders in your data science project have conflicting interests?
Navigating conflicting interests among stakeholders is a common challenge in data science projects. Imagine you're leading a project where the marketing team wants to maximize user engagement while the product team is focused on user experience, which sometimes means less aggressive engagement tactics. Balancing these interests requires a blend of diplomatic and technical skills. You need to facilitate discussions, understand each stakeholder's priorities, and find a data-driven compromise that aligns with the overall business strategy.
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Wael Rahhal (Ph.D.)Data Science Consultant | MS.c. Data Science | AI Researcher | Business Consultant & Analytics | Kaggle Expert
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Fernanda SantosData Scientist | Python | AI Services - Oracle | Speaker | Teacher | @F3loc
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Chaitanya KunapareddiData Scientist @ BSW Health | MS in Applied Data Science | LLM - ML - NLP | Azure Certified | Tableau - Power BI |…