ConverSQL in asset management: killing the analyst queue

Portfolio managers need answers in minutes, not days. Natural language analytics across federated data warehouses.

Analytics in asset management

By Eldridge Morgan on

In asset management, the distance between a question and an answer is measured in analyst-days. A PM asks “what’s our exposure to energy sector defaults across the Asia book?” and that question enters a queue — behind twenty others.

The architecture

ConverSQL federates across Snowflake, BigQuery, Redshift, and PostgreSQL without moving data. The PM types the question. ConverSQL writes the SQL, executes it across the relevant warehouses, and returns the answer with a chart and written summary. Seconds, not days.

Asset management use cases

  • Portfolio exposure queries across books and geographies — real-time
  • Risk threshold monitoring — agents watching VaR, drawdown, concentration limits 24/7
  • Client reporting — automated, branded insight packages on cron schedule
  • Anomaly detection — unusual NAV discrepancies flagged with root-cause analysis

The result

Analysts stop answering “what happened?” and start answering “what should we do about it?” — the difference between a cost centre and a strategic function. 70–80% self-service rate in the first two weeks.

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