How do I answer my own data questions without bugging the data team with iDBQuery?
Answer your own data questions in iDBQuery by asking in plain language and getting a cited answer in seconds, so you no longer file a ticket and wait days for the data team. It writes the SQL for you, runs it on live data, and shows the source, so business users are self-sufficient.
In most companies, business questions pile up in a queue for a small, overworked data team, so answers arrive late and only for the loudest requests. iDBQuery makes business users self-sufficient without giving up trust.
- Anyone can ask in plain language; no SQL is required
- iDBQuery writes and runs the query on live data and answers in seconds
- It cites every figure back to source rows, so self-serve answers stay trustworthy
- Permissions and access controls keep people to the data they are allowed to see
For example, a marketing manager can ask *which campaigns drove the most sign-ups last month?* and get a cited answer instantly, instead of filing a ticket and waiting a week. The data team is freed from a queue of routine pulls.
Because iDBQuery shows its work and cites sources, self-serve does not mean unreliable, which is the usual fear when non-technical people get direct data access. And because it queries in place with governed permissions, the data team keeps control while offloading the repetitive requests. Organisations use this to break the analytics bottleneck: business users get answers on their own timeline, and the data team gets to focus on the deep work only they can do rather than fielding the same routine questions all day.
Updated 2026-06-22