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Financial Services

Banks, fintechs, and wealth managers run on a dozen specialized systems. AnalystIQ lets risk, compliance, and finance teams query across transactions, customer master data, and analytical stores without exporting CSVs to Excel.

Use cases

Questions you can ask on day one.

These are real prompts you'd type into AnalystIQ. Each runs against the data sources below and returns the chart or table that answers it.

Transaction volume vs forecast

Live transaction volume against the rolling forecast.

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Daily transaction volume by segment vs forecast for the last 30 days.

AUM movement by advisor

Inflows and outflows by advisor and asset class.

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Net AUM change by advisor and asset class over the last quarter, ranked by absolute change.

Fraud false-positive trend

Tune rules using true-positive vs false-positive trend.

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False-positive rate on fraud alerts by rule and amount band over the last 30 days.

NIM by product

Net interest margin and fee income by product line.

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Net interest margin and fee income by product line for the last 12 months.

Customer lifecycle

Cross-product adoption — from one product to three.

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Average time for a checking-only customer to adopt a second product, by acquisition cohort.

Regulatory metric reconciliation

Spot deltas between source-of-record and downstream reports.

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Difference between general ledger balance and risk system balance by account class as of yesterday.

Where this data usually lives

Common sources for Financial Services

Connect any combination. Each connector takes minutes; you scope every one to just the tables and fields you want exposed.

PostgreSQL

Available

Snowflake

Available

BigQuery

Coming soon

SQL

Microsoft SQL Server

Available

Salesforce

Coming soon