How is iDBQuery used by proptech companies?

Proptech businesses sit on a mix of property databases, listing and transaction feeds, product-usage events and finance spreadsheets. iDBQuery builds one live queryable model across them so product, ops and finance can ask plain-language questions and get a cited answer without waiting on engineering.

Examples:

• What is our listing-to-close conversion by market and channel?
• Show active users and feature adoption by customer segment this month.
• Which properties or portfolios drive the most transaction volume?
• What is take rate and contribution margin per transaction?
• Where are listings going stale, and how does that vary by region?

iDBQuery connects your application database (MySQL, Postgres, MongoDB), REST APIs and Excel or CSV exports together with no ETL, joins them, and cites every figure back to the source row so numbers are trustworthy for board and investor updates. The Analyst agent can investigate an open question autonomously.

Proptech often handles landlord, tenant and transaction data, so deployment flexibility matters: run in the cloud, your own VPC, or fully air-gapped, with an Embedded SDK to put analytics inside your own product and query-in-place so data isn't force-copied. The differentiator over a BI stack is that non-technical teammates get answers directly across every source, no pipeline required.