Spend reports group by vendor record. When one supplier is set up differently in each business unit, its spend is split into small pieces, and your largest relationships look like a long tail.
Three mid-size vendors on the report. Together they are one supplier with $4.6M of spend.
Every business unit, region and acquisition sets up suppliers its own way. A global logistics provider becomes a GmbH in one ERP, an Inc in another and an abbreviation in accounts payable. Spend analytics, which groups by vendor record, sees three suppliers.
That changes decisions. Category managers negotiate with a fraction of the true volume. Consolidation opportunities stay invisible because the same supplier appears to be three small ones. Tail spend looks larger than it is, and preferred-supplier programs miss spend that should count toward them.
Classification tools can sort spend into categories, but they cannot tell you that three vendor records are the same company, or that ten companies belong to one parent.
Spend per supplier is understated wherever the supplier has more than one record.
Buyers bring part of the volume to the table, not all of it.
Subsidiaries are treated as separate suppliers, so group-level spend is never added up.
Resolve vendor records into real suppliers first, then aggregate spend on the resolved supplier instead of on each system’s vendor ID. Where you have parent and subsidiary data, link each resolved supplier to its parent and roll up again.
Use the same resolved suppliers for every report and every sourcing event, so the totals procurement negotiates with are the totals finance reports.
Linked to its parent, the supplier moves into your top five.
Every invoice line rolls up to one resolved supplier, whatever vendor record it used.
Resolved suppliers link to their parent companies for group-level totals.
Procurement and finance read the same supplier totals.
Zingg runs as a workload inside your data platform and gives every entity one persistent ZINGG_ID. Everything above it reads the same resolved entities.
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Abbreviations and legal suffixes like GmbH, Inc and Ltd are handled when names are compared. Company name matching
Combine learned matching with exact rules on tax or registration numbers.
The incremental flow attaches new vendor records to the supplier they belong to.
Zingg runs in the same data platform as your spend data, so roll-ups are a join, not an export.
Spend is grouped by vendor record. When one supplier has several records, its spend is split between them and every supplier-level total is wrong.
Zingg resolves vendor records into suppliers. If you have parent and subsidiary data, you join it on the resolved supplier to roll spend up to the parent.
No. Zingg resolves who the supplier is. Category classification stays with your spend analytics tool, which now works on resolved suppliers.
As often as you load data. Incremental runs match only new and changed vendor records.
Resolve suppliers in your own data platform and roll up spend to the real company.