01
Intake
Data quality validation by rules starts from databases & BI.
The flow consolidates datasets, metrics, reports, business rules and executive dashboards before applying business rules.
Back to capabilities
BI / Data / Planning
Operating flow for Data quality validation by rules
The flow starts with datasets, metrics, reports, business rules and executive dashboards. Inputs, rules, owners and evidence are defined first; then execution is scheduled, exceptions are reviewed and outputs are delivered for review, operations and audit.
For data quality validation by rules, the process connects databases & BI, checks data quality & metric definitions and delivers ready dataset & executive report.
Process flow
A compact diagram of the path from source data to the output a team can review.
02
Validation
Checks data quality & metric definitions.
Records that pass continue automatically; doubtful cases move to review.
03
Exceptions
Escalates late reports & disputed metrics.
Owners receive the context needed to decide, approve or correct the case.
04
Output
Delivers ready dataset & executive report.
The team can close data quality validation by rules with traceable evidence.
Expected capability outcomes
The value is not the automation label. It is knowing what information enters, which controls are applied, who reviews exceptions and what evidence remains available for operations or audit.
Data quality validation by rules control
Governed metrics
Refresh log captured
Inputs, controls and outputs
Use this model to confirm whether the process has enough sources, clear rules and useful outputs before implementation.
Inputs and systems
- Databases
- BI
- ERP
- CRM
- Operations files
Rules and controls
- Data quality
- Metric definitions
- Scheduled refresh
- Variance alerts
Operating outputs
- Ready dataset
- Executive report
- Metric alerts
- Refresh log
How it becomes a governed flow
Implementation starts with the real process and ends with a visible, repeatable and auditable operation.
01
Operating discovery
Define the business object, volume, critical exceptions and who is accountable for each decision.
02
Source mapping
Connect files, APIs, emails or existing systems without redesigning the whole process.
03
Rules and execution
Configure validations, frequency, thresholds, approvals and the actions the flow should run or escalate.
04
Control and improvement
The team operates with logs, reports, evidence and an adjustment backlog to mature the capability.
Governance included from the first deployment
Execution traceability
Each run leaves visible inputs, decisions, outputs and errors for the team.
Permissions and owners
The capability respects roles, organizations and operating owners inside the operation.
Audit and evidence
Generated reports and files stay linked to the workflow that produced them.
Signals this capability applies
When these signals appear in the operation, the capability is worth evaluating with real data.
- Late reports
- Disputed metrics
- Duplicated data
- Many unguided sources
Teams involved
BIFinanceOperationsLeadership
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View capabilityReview Data quality validation by rules with real data
We review sources, rules, exceptions and owners before proposing discovery, a pilot or deployment.