I would like to understand whether Lumenore Ask Me supports classification-type analysis based on historical data patterns.

For example, scenarios such as:

• Segmenting entities into risk categories
• Classifying records into performance tiers
• Identifying stable vs. churn risk customers
• Categorizing behavior patterns based on historical trends

Could you please clarify:

• Can I perform classification analysis directly using NLQ prompts?
• Is a predefined target or labeled field required for such analysis?
• Does Lumenore Ask Me automatically detect patterns and create classifications, or does this need to be pre-modeled within the dataset?
• What data preparation or schema considerations are necessary to enable reliable classification insights?

My objective is to understand the capabilities and limitations of classification analysis within Lumenore Ask Me and how best to structure data to support it.