Products & ServicesData & Finance Automation
Messy data from many systems, sorted out automatically.
How it works
Match the names
One item, spelled three ways, becomes one record.
Stop bad data
Clearly wrong records are held back before they reach the totals.
See what needs attention
Reports come out on their own, with problems marked in red.
Example based on a project for a multi-store chain. Names and figures have been changed.
Read the full description
Each system exports data in its own format. The same item can be spelled ten different ways. Making the table is easy. The hard part is matching the items up first. Get one wrong and everything after it is off. Many teams still do this by hand every month. It is slow and easy to get wrong.
We bring the data from every system into one place. We turn names, sizes and units into one standard set. Obviously bad data is stopped as it comes in. Then we write your accounting rules into the process. Reports come out on their own, with problem rows marked in red. Before handover, the system works out the results without looking at the manual answers. Where they don't match, we fix the rules and run it again.
Manual work on monthly reconciliation (checking that the accounts match up) drops by more than 90%. The time to produce reports is also more than 90% shorter. It can run on a schedule. Results stay within 2% of the manual check. Every figure can be traced back to the source row it came from.
What is included
Match across systems
Different names for the same item are matched up automatically.
Your rules, built in
Your business rules run every time. Nobody has to remember them.
Exceptions flagged
Only the odd rows need a person to look at them.
Bad data stopped early
Clearly wrong records are caught on the way in. This happens before they spoil the totals.
Every number traceable
Any figure in the report can be traced back to the original row it came from.
Runs on a schedule
Once set up, the reports can run by themselves at set times.
Key strengths
Tested blind before handover
The system works out results without seeing the manual answers. We only change rules when the gap is real.
Assumptions written down
Some categories look alike but differ in business or contract terms. We never merge them. Anything not yet confirmed is written down as an assumption. It is not quietly decided in the code.
Works in any industry
If your data comes from several places, the same method applies.
What we need from you
Sample source exports, rate or cost rules, and a manually checked reporting period.
Deliverables
- A mapping of source fields, products and units
- Repeatable calculation and reconciliation reports
- Exception lists plus traceability to the source record
How it is accepted
Reconcile a held-out period against the agreed manual baseline, investigate differences and rerun the same inputs to check consistency.
Case studies
Start with one small pilot.
Tell us the task. We will say whether it is worth doing.