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.”
Industry
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
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.
Live transaction volume against the rolling forecast.
Ask AnalystIQ
“Daily transaction volume by segment vs forecast for the last 30 days.”
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.”
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.”
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.”
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.”
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
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
Microsoft SQL Server
Available
Salesforce
Coming soon
Other industries