- The problem
- Branch and product questions wait on the data team.
- What changes
- Self-serve answers with trusted definitions and full history.
Conversational Analytics (Ask Your Data)
Ask your business a question in plain English — “which stores will run out this week?” — and get the answer, the chart and the option to save it.
Is this you?
If two of these sound familiar, this solution is worth a conversation.
- “Every question goes through an analyst and takes a week”
- “Leaders stop asking because answers take too long”
- “The same Monday questions are rebuilt by hand every week”
What changes once it is live
- Answers in seconds without waiting on an analyst
- Recurring questions saved and re-run in one click
- Trusted definitions behind every number
We connect a natural-language assistant to your governed data so anyone can ask “which stores will run out this week?” and get a trusted answer in seconds — with query history, saved questions and usage analytics for the teams who ask the same thing every Monday.
What’s included — and the impact you should expect
What an engagement actually covers, and what should be different for your business once it is live.
What’s included
- A plain-English assistant connected to your governed data
- Trusted definitions behind every answer, with the underlying query visible
- Saved questions, history and sharing for recurring needs
- Usage analytics showing what the business is asking
The people who usually sponsor this
If one of these is in the room, this solution is worth the first conversation.
- 01
Business leaders who have stopped asking because answers take a week
- 02
Category, branch and plant managers who cannot query their own numbers
- 03
Data teams rebuilding the same Monday questions by hand
Four steps from the problem you have to the change you want
A path your marketing team can walk a client through — no architecture diagram required.
- 01
Connect the assistant to numbers you already trust
If the definitions are not trusted, we fix that first. A fluent wrong answer is worse than a slow right one.
- 02
Let people ask in their own words
‘Which stores will run out this week?’ The system works out the query, asks if something is missing, and returns the answer with a chart.
- 03
Save the questions you ask every Monday
History, saved questions, sharing. The weekly pack starts as a conversation, not a ticket.
- 04
Show the data team what the business is asking
Usage tells you which answers to certify, which data is missing, and where self-serve is actually taking hold.
What the first 90 days look like
One real problem, built on real work, measured before we talk about the second use case.
- 1Weeks 1–3
Map and agree the outcome
We take the ten questions leadership asks every week and make sure the data behind them is trustworthy.
- 2Weeks 4–10
Build it on real work
Those ten questions — and any new phrasing of them — are answerable in seconds, with the chart and the option to save.
- 3Go-live and after
Run, measure, expand
The assistant is opened to the next team. The data team watches usage instead of writing tickets.
The problem this solves — in each sector
Same building blocks, different pain. Here is how this solution shows up for the industries we work in.
- The problem
- Category managers cannot query sales themselves.
- What changes
- Natural-language questions become live dashboards.
- The problem
- Plant KPIs need a specialist to extract.
- What changes
- Supervisors ask about throughput and quality directly.
- The problem
- Recurring questions are rebuilt weekly.
- What changes
- Saved questions, query history and usage analytics.
Watch it work, or read why we build it this way
Ask your data in plain English — Part 1
A business user types a question; the answer and chart appear in seconds.
OpenAsk your data in plain English — Part 2 (live dashboards)
Questions turn into live KPI dashboards — no analyst in the loop.
OpenAsk your data in plain English — Part 3 (saved questions & history)
Save the questions your team asks every Monday and re-run them in one click.
OpenOpen-source code for the demos
Your engineers can inspect exactly what they saw in the video.
OpenUsually bought together
Most clients combine this with one or two of the following to get the full result.
Real-Time Analytics
See what is happening in your business as it happens — not in tomorrow’s report.
DataBusiness Intelligence
Dashboards people actually open — with numbers everyone agrees on and a clear owner for each one.
DataData Engineering Platforms
We connect every system you run into one clean, always-fresh source of truth — the plumbing behind every report and every AI.
DataWhere this solution has the most impact
Financial Services
Agentic AI and automation for banks, capital markets, and fintechs operating under strict compliance.
Retail & E-commerce
Personalization, demand forecasting, and generative content systems for modern retail.
Manufacturing
Predictive maintenance, quality inspection, and agentic automation for the factory floor.
Is Conversational Analytics (Ask Your Data) your next step?
Bring one real problem to a 45-minute working session. You leave with the building blocks mapped and a first use case scoped.
