# Data quality · Use cases · Dscvry

> Data quality: duplicates, gaps and records that disagree across systems found, matched and traced back to the system that needs fixing. Illustrative use case.

Source: https://dscvryai.com/use-cases/data-quality/

# Can we trust these numbers?

Every record checked for duplicates, gaps and disagreements between systems, so the numbers in your reports can be trusted, and the ones that can’t are fixed at the source.

See it worked through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Data quality

## The report adds up. The data underneath doesn’t.

Every system holds its own version of the same customer, supplier or asset. Reports add them together as if they agreed.

### The same thing, many times.

One supplier appears under several names and codes, so spend and risk are split across them.

### Gaps nobody sees.

Missing tax numbers, dates and owners only surface when an audit or a payment fails.

### Systems that disagree.

The ERP and the CRM hold different addresses and terms, and nobody knows which is right.

## What the AI reads.

Every record in every connected system, compared field by field with its counterparts elsewhere.

### In

- ERP master data
- CRM accounts and contacts
- Finance and payment records
- Supplier and asset registers
- Data definitions and rules

### At work

1. [Understand](https://dscvryai.com/technology/understand/) Reads names, codes and addresses however each system writes them.
2. [Check](https://dscvryai.com/technology/check/) Matches the same supplier, customer or asset across systems, and validates each record against your rules.
3. [Anticipate](https://dscvryai.com/technology/anticipate/) Shows which sources and fields keep producing bad records.
4. [Operate](https://dscvryai.com/technology/operate/) Raises each fix with the owner of the system it belongs to, with the evidence attached.

### Out

One list of fixes, each with the records that prove it and the system to correct.

## Every record compared. Every fix traced.

The data team sees which records are duplicated, incomplete or in conflict, and which system each fix belongs in.

Supplier master · The reasoning ·

Supplier master · Duplicates and conflicts · Weekly check Illustrative

5 findings · 2 duplicates · 2 conflicts · 1 gap

| Record | Supplier | Finding | Detail | Systems |
|---|---|---|---|---|
| S-1042 | Northline Haulage Ltd | Duplicate | Same VAT number and bank account as S-2210 | ERP · AP |
| S-1187 | Calder Packaging | Conflict | Payment terms 30 days in the ERP, 60 days in the contract | ERP · Contracts |
| S-1290 | Brightwater Chemicals | Gap | No VAT number; required before payment | ERP |
| S-1301 | Pennine Tools | Duplicate | Same registered address and bank account as S-0877 | ERP · AP |
| S-1355 | Moorland Electrical | Conflict | Address differs between CRM and ERP; CRM updated last month | ERP · CRM |

Illustrative example. Suppliers, codes and systems are fictional.

## Built for data owners.

The AI finds and proposes. The owner of each system decides what changes.

### Nothing merged automatically.

Merges and corrections wait for the data owner to approve them.

How Operate works
https://dscvryai.com/technology/operate/

### Every finding shows its proof.

The records, fields and rules behind each flag sit beside it.

How Check works
https://dscvryai.com/technology/check/

### Fixed where it starts.

Each fix goes back to the system it came from, not into a copy.

## Same records. Other questions.

The documents and data behind this work answer other questions too.

How did the North region do last quarter?

### Ask your data

Plain-language answers from your own databases, within each person’s access.

See how →
https://dscvryai.com/use-cases/ask-your-data/

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/

Does this PO match what we’re paying?

### Purchase orders

Find mismatches before payment.

See how →
https://dscvryai.com/use-cases/purchase-orders/

Which invoices are we overpaying?

### Invoice errors

Catch overbilling, duplicates and mistakes before payment.

See how →
https://dscvryai.com/use-cases/invoice-errors/

More in Data
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us an export of your supplier or customer master.

We’ll show you the duplicates, gaps and conflicts in it, and the system each fix belongs in.

[Talk to us →](https://dscvryai.com/contact/?topic=Data%20quality%20inquiry)

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