Business analytics turns raw business data into patterns and insights for decisions. The usual slog is data wrangling—making large datasets consistently machine-readable—followed by algorithms that extract useful findings. LLM workflows aim to reduce the coding and cost burden by letting people query prepared data in plain language. section 8.1
A practical AI-assisted workflow is:
- Load a dataset, such as an investing-program prediction spreadsheet, and prepare it for retrieval. section 8.1
- Build an index over the data with an OpenAI API key and LlamaIndex components. section 8.1
- Ask focused questions, such as which five regions have the highest average household net wealth. section 8.1
- Use business attributes to identify customers likely to invest in a new offering, returning only customer IDs. section 8.1
Figure 8.1 Using data analytics to derive insights from raw data
The diagram situates analytics as a path from raw data to usable insights. section 8.1
