In CRISP-DM, which step focuses on confirming the business objective and constraints before modeling?

• A. Data Understanding
• B. Business Understanding
• C. Modeling
• D. Evaluation

Answer: (B)

Setting and validating the business objective and any constraints before building models is essential because it anchors everything you do in real value for the organization. In CRISP-DM, this happens in the business understanding phase. This stage asks what business problem you’re trying to solve, what would count as success, and what limits you must respect—such as budget, regulatory rules, data availability, and deployment environment. Clarifying these points upfront ensures the modeling work targets the right outcome and operates within feasible boundaries. For example, if the goal is to reduce churn by a certain amount within a quarter and there’s a cap on outreach spend, you frame the modeling task to optimize churn under that cost constraint. This objective-and-constraint context then guides what data you collect, which modeling approaches you consider, and how you’ll evaluate results. If later insights reveal different priorities or limits, you can revisit and adjust the business understanding. Other phases focus more on the data (data understanding) or the modeling techniques and evaluation against the stated goals, rather than defining the goals themselves.