SQL databases hold some of the most structured, reliable, and valuable data in any organisation — but getting answers out of them requires knowing SQL, knowing the schema, and knowing which table holds what you're looking for. That's a high bar for anyone who isn't a developer or analyst. askFinz Knowledge is coming to lower it: connect a SQL database and every table and record becomes searchable in plain language, so the people who need the data can access it without writing a single query.
What changes when a SQL database is connected
The gap between a question and an answer in a SQL database is usually measured in hours — the time it takes to ask an analyst, wait for them to write the query, and get back a result. For teams that rely on data to make decisions, that gap is where momentum is lost.
With Knowledge, the gap collapses. Ask "how many active users signed up last month?" and Knowledge returns the count directly from the users table. Ask "which customers have a subscription that expires in the next 30 days?" and get the list from the subscriptions table, without waiting for a query to be written. Ask "what's the average order value for customers in the enterprise tier?" and the answer comes from your own data.
The questions don't need to be simple. Joins, filters, aggregations — Knowledge handles the complexity so you can focus on the question, not the SQL needed to answer it.
In Research, database records become source material for analysis. A product lead investigating a drop in engagement can use Research to draw on user activity tables alongside external context — building a picture that combines what your own data shows with what's happening in the market.
Everyday examples
- A product manager asks "what features do our most active users engage with most?" — Knowledge draws on the events or activity table and returns the answer with the relevant records as support.
- A finance analyst asks "which accounts have had more than two payment failures in the last quarter?" — Chat returns the list from the payments table without a query.
- A growth team asks "what is the retention rate at 30, 60, and 90 days for users who signed up in Q1?" — Research uses the user and session tables to build the cohort analysis.
- A support lead asks "how many tickets were created by enterprise customers last month compared to the month before?" — Knowledge finds the comparison from the tickets table in seconds.
Who benefits most
SQL databases serve teams in every function — product, finance, marketing, operations, support. The analysts who service those teams are valuable and overstretched. With askFinz, the questions that take an hour to answer via a data request can be answered in seconds by the person who has the question. Analysts are freed for the work that genuinely requires their expertise.
askFinz Knowledge with SQL databases is on the roadmap. Explore what Knowledge can do and join the waitlist to get early access.