Data science sits between technology and business: it uses machine learning to answer business questions and support business goals. section 5.3
From business question to data product
A data scientist may help define a business problem, build a production-level data product, and validate whether it answers the intended question. The useful work is not merely writing code; it connects technical choices to business outcomes. section 5.3 section 5.12
That connection is the point. Data science is strongest when technical work and business judgment stay coupled, rather than treating the practitioner as someone who only completes predefined coding tasks. section 5.3
Useful boundaries include:
- Operations research focuses on mathematical optimization for business problems, while data science uses machine learning to help answer business questions. section 5.3
- Full-stack data science extends from ideation through building production-level data products. section 5.3
- The field is sometimes hyped, but its practical value comes from helping businesses attain defined goals. section 5.3
