Ask Me

Schema Sample Data Preview

Feature Description

Lumenore Ask Me now allows you to view sample data directly within the Ask Me query box. By clicking on the “View Data” option, users can open a model that displays the top 10 rows of data from the schema. The Schema Manager also supports the capability to generate and display the top 10 rows of data for any structured schema. This gives you a quick, interactive way to preview the structure of the data they are querying, improving their understanding of available datasets.

End User Business Benefits

no code

Reduced Errors

Prevents mistakes caused by misunderstanding schema or column data.

Faster decision

Improved Query Accuracy

Users can craft more precise queries using visible sample data.

efficiency increase

Enhanced Learning

Helps non-technical users understand datasets intuitively.

error-reduction

Better Decision-Making

Accurate queries lead to more reliable insights.

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Streamlined Workflow

Reduces back-and-forth exploration, saving time during analysis.

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  • Healthcare

    • Preview patient, claims, or program data directly while forming queries.
    • Quickly understand dataset structure for clinical, operational, or public health analytics.

  • Manufacturing

    • Explore production, machine, or supply chain data samples to ensure accurate analysis.
    • Understand dataset structure before building dashboards or predictive models.

  • Contact Centers

    • View sample call logs, CSAT scores, or agent performance data before querying.
    • Reduce errors when analyzing large interaction datasets.

  • Agritech

    • Preview crop, soil, or weather datasets to guide AI-driven queries.
    • Understand the structure of IoT or field sensor data before analysis.

  • Retail & E-commerce

    • Check sample sales, returns, and customer behavior data while building queries.
    • Ensure correct mapping of product, region, and time-based datasets.

  • Banking & Financial Services

    • Preview loan, transaction, or portfolio datasets for accurate analysis.
    • Validate column formats and data types before running AI-driven insights.

  • Government & Public Sector

    • Explore citizen service, budget, or program datasets interactively.
    • Improve understanding of data structure before generating reports or dashboards.

application areas