Ask Me

Subqueries Support

subqueries support

Feature Description

Lumenore Ask Me now supports complex subqueries, allowing users to run advanced queries that involve the formation of SQL subqueries. Examples of supported queries include "For each of the top 5 regions with the highest sales, list the top 5 products by total sales.", "Show me the top 5 regions by profit, and for each region, list the top 5 products in the 'Electronics' category." This improvement allows you to execute more complex queries directly within Ask Me, improving the overall user experience. This will also reduce errors and provide more detailed insights. With subquery support, users can easily explore deeper data relationships and get advanced insights without needing complex SQL knowledge.

End User Business Benefits

no code

Deeper Insights Without SQL

Non-technical users can run advanced nested queries without coding.

Faster decision

Error Reduction

Natural language + subquery logic reduces chances of manual query errors.

efficiency increase

Faster Decision-Making

Quickly move from "what happened?" to "why it happened?"

error-reduction

Resource Optimization

Identify top drivers, bottlenecks, or risk areas in one step.

time saving

Better Personalization

Drill deeper into customer/product/region combinations to tailor strategies.

time saving

Strategic Impact

Enables leaders to align operations, sales, and service with high-value insights.

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  • Healthcare

    • Compare hospital units with highest readmission rates and list key contributing conditions. 
    • For each insurance provider, identify the top procedures driving claim costs.
    • Track top-performing physicians in each specialty based on patient satisfaction scores.

  • Manufacturing 

    • For each plant with highest downtime, identify top causes of machine failures. 
    • List top suppliers by spend within regions showing maximum defects. 
    • Compare energy consumption by top plants and identify top contributing processes. 

  • Retail & E-commerce

    • For each top region by revenue, identify top product categories driving sales. 
    • Compare customer segments with highest churn and list their top abandoned cart items. 
    • Analyze promotions that work best in top-performing regions and products.

  • Banking & Financial Services

    • For each top customer segment by portfolio value, list top investment products.
    • Compare branches with highest loan approvals and identify top loan categories.
    • Track regions with highest defaults and list top reasons by borrower profile.

  • Government & Public Sector

    • For each district with highest unemployment, list top industries impacted. 
    • Compare regions with best healthcare outcomes and list top contributing programs. 
    • For each top area by citizen complaints, list the top complaint categories.

  • Contact Centers / Customer Experience 

    • For each top channel by interaction volume, list top issues raised. 
    • Compare agents with highest CSAT and list top behaviors/skills contributing. 
    • For top 5 accounts by escalations, list the main reasons for escalation.

application areas