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Business question

As explained in Starting Data Analytics with Generative AI and Python

A business question is a decision-oriented question about an organization's goals, operations, performance, or opportunities.

A business question is a decision-oriented question about goals, operations, performance, or opportunities. It gives analysis a practical direction, but rarely has a single-step answer. section 3.1

Turn the question into several research questions that connect business processes with available data. Stakeholders understand their operations, while analysts must assess which data, integrations, and quality checks can support reliable findings. section 3.1 section 3.1

Typical decompositions include:

  • “How do we make more money?” can become “Who spends the most?”, “Can they buy more?”, and “Where do we find similar people?” section 3.1
  • “How do we reduce costs?” can become questions about which production step creates the most scrap and which parameters might reduce it. section 3.1

How Starting Data Analytics with Generative AI and Python covers it

How deep it goes
Explains decomposition into multiple research questions and highlights data limitations, without detailing a full research design.
Examples
Uses revenue growth, production scrap, regional demand, supply-chain inventory, and alloy-material ratios as concrete examples.
What it assumes
Assumes stakeholder-defined goals and some knowledge of available data sources, while emphasizing the analyst’s role in assessing data limitations.
What you can do after
Apply it by translating a stakeholder question into several answerable research questions tied to available data.
How it connects
Connects business goals with research questions, business processes, data sources, and data quality.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Starting Data Analytics with Generative AI and Python. The section links point to the parts of the book it draws on.