How can you ensure Agile data science projects align with business goals?
Agile data science is a collaborative and iterative approach to solving complex problems with data. It involves breaking down a large project into smaller and manageable tasks, delivering value to the stakeholders frequently, and adapting to changing requirements and feedback. However, agile data science also poses some challenges, such as aligning the technical and business goals, ensuring data quality and governance, and measuring the impact of the solutions. In this article, you will learn some practical tips on how to overcome these challenges and ensure your agile data science projects align with your business goals.