How many people in our organization make data-driven decisions but do not know SQL or how to build reports?

In most mid-market companies, the people who need data most — executives, managers, clinicians — are the ones least equipped to extract it. NLQ bridges that gap without requiring technical training.

What decisions are being delayed because the people who need the data cannot access it without help?

Every decision delayed by a reporting queue is a cost in missed opportunities and leadership time spent waiting. NLQ eliminates the queue entirely.

If we gave every manager a way to ask questions of our data in plain English, what would change about how we operate?

When managers can get instant answers, they stop batching decisions into weekly reviews and start making them in real time. The operational cadence shifts from reactive to responsive.

Data & Analytics Intelligence

NLQ value proposition for mid-market

By Mark Ziler · Last updated 2026-04-05

Why NLQ changes everything for mid-market companies: these organizations have always had data — in their EHR, their FSM platform, their POS system, their accounting software. What they have never had is the ability to ask questions of that data without a technical person in the middle. NLQ removes the middleman. The COO who used to wait for a monthly PDF now asks "which location had the highest overtime last pay period?" and gets an answer before the meeting starts. The power is not the technology — it is the access. People who could never touch their own data can now have a conversation with it.

Go deeper

Your 12-location HVAC company has a regional manager who has been asking the same question for two years: 'Which technicians consistently finish jobs under the estimated time without callbacks?' Your analyst has it on the backlog. It never rises to the top because there is always something more urgent. With NLQ, that regional manager asks the question herself on a Tuesday afternoon and has the answer before her 2 PM team call. The two-year-old question gets answered in ten seconds — and she asks three follow-ups she would never have submitted as formal report requests.

The trap most companies fall into is measuring NLQ value by the number of questions asked. That misses the point. The value is in the questions that were never asked before — the ones that lived in someone's head because the friction of requesting a report was too high. A regional manager who can interrogate data directly will surface operational insights that no pre-built dashboard anticipated. The real ROI is not time saved on existing reports — it is decisions improved by questions that finally got asked.

Questions to ask

How many ad-hoc data requests does our team handle per month, and what is the average turnaround time?
Which operational leaders have stopped asking for data because the process takes too long?
If every manager could ask three questions per day that they currently cannot, what decisions would change?