Business process guide
Data Quality in Business Processes
Bad data can create rework, incorrect routing and misleading metrics even when workflow logic is correct.
Practical note: process design depends on organization, data, controls, laws, contracts and technology. Treat examples and calculators as educational planning aids, then validate changes against your own requirements.
Capture quality at the source
Validation at entry is usually cheaper than correcting downstream records repeatedly.
Define authoritative sources
When two systems disagree on customer, product or status information, ownership must be explicit.
Measure data defects
Missing fields, invalid codes, duplicates and stale values can be treated as process defects with owners and root causes.