Make visible where poor ERP data quietly burns money.
This page shows, in business language, how BCSentinel turns concrete data issues into a realistic annual loss estimate — clear enough for management, finance, operations, and IT.
A number only creates trust when customers can understand it.
BCSentinel links each estimate to operational friction: rework, blocked transactions, delayed payments, wrong pricing, and avoidable follow-up work.
What poor data costs — and why the number is credible.
The loss estimate is based on recurring operational effort. That means the value does not rely on theoretical penalties alone, but on time, delay, coordination, and avoidable process friction.
Estimated financial impact caused by detected data quality issues.
Realistic saving potential after resolving the most important issues first.
Checks
Each issue uses affected records, probability, effort, hourly rate, and yearly frequency.
Estimated Loss follows one transparent model.
BCSentinel does not invent a score out of thin air. It estimates what weak data does to daily business processes: how many records are affected, how often the issue really matters, and how much internal effort it creates.
How many records are affected by the issue.
How often the issue creates a real business effect.
Average manual effort per case.
Internal blended hourly rate used for the business case.
How often the same effect occurs during the year.
Not every faulty record hurts every time. That keeps the estimate realistic and believable.
Example calculations below use a realistic internal hourly rate of €75. The examples are intentionally conservative so customers see a solid business case instead of inflated marketing numbers.
Five concrete examples customers can immediately understand.
These examples make the value of BCSentinel tangible: where time is lost, where processes get blocked, and where money leaks out without anybody noticing it in time.
The rest of the checks in short form.
Each of these issues may look small on its own. But in live systems they accumulate into avoidable manual work, delayed decisions, and repeated process friction.
Poor ERP data rarely causes one dramatic loss. It drains money through constant small frictions.
BCSentinel makes those frictions visible in euros. That is what turns data quality from a technical topic into a business case that management can justify and act on.
Transparent logic. Realistic examples. Stronger customer trust.