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Poor Master Data Quality Cost Calculator

Fixing master data competes with other projects for budget. This calculator turns your own estimates of error rate, rework and expediting into a yearly cost so you can make a business case.

Your numbers

Count documents that read master data.

4 %

Estimate from exceptions, returns and corrections.

hours
$/hour
%
$
FTE
$

Your results

Total annual cost of poor data
$193,700
Direct, countable costs only. Excludes lost sales, scrap and payment errors.
Incidents per year
1,600
Rework cost
$108,000
Expediting cost
$43,200
Stewardship labor
$42,500
Cost per incident
$95
Saving if error rate is halved
$75,600

An estimate from your inputs. It counts only direct labor and expediting. Validate incident counts with real exception data before using the result in a business case.

Save results:

Annual cost vs error rate

Sweeps Share affected by bad master data from 0 to 20, holding your other inputs fixed.

Master data business case review

Want help validating the inputs against your ERP data? Request an expert review.

Optional. The tool and every export work without this. No spam.

How to use it

Start with the number of transactions that read master data each year. Estimate the share affected by a master data error: wrong lead time, wrong unit of measure, duplicate vendor, bad BOM. Use exception reports, returned invoices, expedite requests and planner corrections to ground the estimate. Enter rework hours, loaded labor rate, and how often an incident forces expediting. The result lists each cost and a total, and the chart shows how cost grows with the error rate.

The formula

Incidents equal transactions times the error share. Rework cost is incidents times hours times rate. Expediting cost is incidents times the share expedited times the average expedite cost. Add the stewardship labor already spent on cleanup. The sum is a conservative direct cost, because it leaves out scrap, missed deliveries, duplicate payments, audit findings and delayed decisions.

  • Incidents = orders x error share
  • Rework = incidents x hours x rate
  • Expedite = incidents x share x cost
  • Total = rework + expedite + stewardship

Using the result

Compare the total with the cost of a stewardship team, cleanup sprint or tooling. The halved error rate saving is a quick way to frame the benefit of a program. Be careful not to double count with other projects such as inventory reduction. Present ranges, such as low and high error rate scenarios, rather than a single number.

Common mistakes

Using the number of bad records instead of the number of transactions affected, assuming every incident takes the same time, and taking benefits at full value in year one. Fixes take time, and error rates fall gradually. Treat the output as an order of magnitude to support a decision.

Frequently Asked Questions

How do I estimate the error rate?

Sample a few hundred recent transactions and count how many needed a correction due to master data. Or use exception and returns counts divided by total volume. A rough sample beats a guess.

Is the calculator vendor specific?

No. It works for any ERP, including SAP, Oracle, Infor, Epicor, Dynamics and NetSuite, because it uses business volumes rather than system fields.

What is missing from the total?

Scrap, lost sales, late delivery penalties, duplicate or incorrect payments, audit and compliance costs, and decision delay. Add them separately if you can support them with data.

How do I show payback?

Divide your program cost by the annual saving from the error reduction you expect. Use conservative reduction assumptions and show the timing of benefits.

If the numbers justify action, we can scope an assessment of your ERP data and a plan for automated checks with human approval.

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