The first step that the business analyst should take during the initial discovery phase is to understand and document the data quality issues reported by the data science team. Data quality issues are problems or errors that affect the accuracy, completeness, consistency, timeliness, or validity of data in a system or database. Data quality issues can negatively affect the analysis, reporting, decision making, or performance of a system or solution. The business analyst should understand and document the data quality issues reported by the data science team by asking questions, reviewing data samples, identifying root causes, and measuring impacts.
Understanding and documenting the data quality issues helps to define and prioritize the business problem or need, as well as propose and evaluate potential solutions. References:
https://trailhead.salesforce.com/content/learn/modules/salesforce-business-analyst-certification-prep/customer-di