Use cases.
One problem, the checks we ran and what they found. Most come from our own project work with the client names removed; the rest are illustrative scenarios, and each one is marked.
Use cases
6 results for “manufacturing”. Show everything
A building-materials maker runs 64 exception checks on its full SAP data
Reviewing purchases, payments, assets and sales by sample left gaps. We moved the company's SAP data into one database and built a library of 64 checks that run on every record.
A cement maker cuts the cost of every tonne delivered
Freight is one of the largest costs in cement. Planning which plant serves which customer, by which route and vehicle, from data instead of habit lowered the cost per tonne without slowing deliveries.
An engineering manufacturer's SAP audit, built from raw tables
An engineering manufacturer wanted its SAP configuration, access and transactions audited together. Rule-based analytics on raw table extracts found over-privileged accounts and segregation-of-duties conflicts.
Expense claim reviews with 95% less manual processing
Employee reimbursements were prepared and checked in spreadsheets, by hand. A Python script and a dashboard replaced the manual steps and cut the processing effort by 95%.
Open orders and real customers, checked every month
An electronics maker could not easily see which purchase orders were still open, or whether every customer in its master was a real company. A monthly Python run on its SAP data now answers both.
An electronics maker checks every serial number its partners report
An electronics maker relied on its channel partners to report what they sold. Thirteen checks on serial numbers, returns, customers and vendors showed where the reports and the records disagreed.
No use cases match every filter.
Read the thinking behind it
Short articles on revenue leakage, fraud, controls, forecasting and private AI.