# Ask your data · Use cases · Dscvry

> Ask your data: plain-language questions answered from your own databases and reports, within each person's access rights, with every figure traced to its...

Source: https://dscvryai.com/use-cases/ask-your-data/

# How did the North region do last quarter?

Ask a question about the business in plain words and get the answer from your own systems, within what you are allowed to see, with every figure sourced.

See it worked through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Ask your data

## The answer exists. Getting it takes a week.

Most business questions are already answered somewhere in your systems. Getting at them means a ticket to the data team, a query and a spreadsheet nobody can check.

### Queues for simple questions.

Analysts spend their days on one-off requests, and managers wait for answers they need today.

### Numbers nobody can trace.

A figure pasted into a slide loses the query, the filters and the date it came from.

### Access is all or nothing.

Either people see a whole dataset or none of it, so most are kept away from the data they need.

## What the AI reads.

Every question turned into a query against your own databases, run with the asker’s permissions, and answered with its sources.

### In

- Data warehouse tables
- Finance and sales systems
- Business definitions and glossary
- Access rights by person
- Existing reports and dashboards

### At work

1. [Understand](https://dscvryai.com/technology/understand/) Turns the question into a precise query, using your own definitions of revenue, region and quarter.
2. [Check](https://dscvryai.com/technology/check/) Runs it only on the data this person may see, and checks the result against published reports.
3. [Operate](https://dscvryai.com/technology/operate/) Answers in plain language, with every figure, its source and the query behind it.

### Out

A plain answer. Every figure with its source and the query that produced it.

## Every figure sourced. Every limit respected.

A regional manager asks a question and gets the answer, the figures behind it and what they are not allowed to see, in one place.

Question · The reasoning ·

Question · How did the North region do last quarter? · Asked by a regional manager Illustrative

5 figures used · 4 sourced · 1 withheld by access rights

| Figure | Measure | Source | Detail | Value |
|---|---|---|---|---|
| F1 | Revenue, North, Q3 | Sourced | Sales ledger · table sales_q3 · net of returns | £4.82m |
| F2 | Revenue, North, Q2 | Sourced | Sales ledger · table sales_q2 · net of returns | £4.51m |
| F3 | Gross margin, North, Q3 | Sourced | Finance mart · margin by region · agrees with the Q3 board pack | 31.4% |
| F4 | Target, North, Q3 | Sourced | Budget file FY25 v3 · approved in March | £4.70m |
| F5 | Margin by customer | Withheld | Needs finance access; not shown to this user | Not shown |

Illustrative example. Region, figures and systems are fictional.

## Built for governed data.

The AI answers. Your access rules still decide who sees what.

### Your permissions, not ours.

Every query runs with the asker’s own access rights, so nobody sees more than they already may.

How Check works
https://dscvryai.com/technology/check/

### Every figure shows its working.

The source table, the filters and the query sit beside each number.

How Understand works
https://dscvryai.com/technology/understand/

### Runs in your environment.

Questions, queries and data stay inside your boundary.

Deployment options
https://dscvryai.com/#deployment

## Same records. Other questions.

The documents and data behind this work answer other questions too.

Why does month-end reporting take a week?

### Reporting

Pull the figures together automatically, every number traced to its source.

See how →
https://dscvryai.com/use-cases/reporting/

Can we trust these numbers?

### Data quality

Find duplicates, gaps and records that disagree across systems.

See how →
https://dscvryai.com/use-cases/data-quality/

What should we have charged?

### Revenue leakage

Find money that should have been charged.

See how →
https://dscvryai.com/use-cases/revenue-leakage/

Who is about to leave?

### Customer churn

See which accounts are drifting, and why.

See how →
https://dscvryai.com/use-cases/customer-churn/

More in Data
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us the questions your data team answers every week.

We’ll connect to a copy of your data and show you each one answered in plain language, with its sources.

[Talk to us →](https://dscvryai.com/contact/?topic=Ask%20your%20data%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India
