Operational Reporting & Reconciliation
A controlled workflow for validating incoming records, separating data-quality holds from reconciliation differences, and preparing clear review and reporting outputs.
- Type
- Real workflow · reconstructed
- Role
- Validation · reconciliation · reporting structure
- Tools
- Excel
- Power Query
Used for validation · normalization · matching · review logic · structured reporting
- Evidence
- Synthetic reconstruction based on a real operational workflow.
Context
Incoming operational records required validation before reconciliation. Data-quality issues needed to be separated from genuine source-to-source differences so review and reporting could remain accurate.
My responsibility
I structured the validation and reconciliation sequence, held invalid records before comparison, separated genuine differences from data-quality issues, and prepared a review-ready output.
Data-quality controls
The controls demonstrated in this case, not a complete data-quality framework.
- CompletenessMissing required dateExampleR-1040Held: 2
- ValidityNon-numeric valueExampleHeld: 1
- UniquenessDuplicate referenceExampleR-1044Held: 1
- ConsistencySource A compared with Source BExampleR-1043Amount differences: 5
Control flow
- Validate
- Required fields
- Data types
- Duplicate reference
- Hold
- Invalid records
- Not compared
- Match
- Reference / identifier
- Reconcile
- Exact
- Amount difference
- Only A
- Only B
- Review
- Source check
- Resolve difference
- Report
- Validated output
- Review summary
Control questions
- Can this record be trusted?
- Can it enter reconciliation?
- Does it match across sources?
- Why does it differ?
- What requires review?
Validation summary
- Received
- 240
- Eligible for reconciliation
- 236
- Held
- 4
Held composition
- 2 Missing date
- 1 Duplicate reference
- 1 Non-numeric value
Control rule Only records that pass validation enter reconciliation.
Reconciliation register
- All
- Exact
- Difference
- Held
- Review
| Reference | Date | Source A | Source B | Status | Review |
|---|---|---|---|---|---|
| R-1038 | 3,400.00 | 3,400.00 | Exact | No review needed | |
| R-1039 | 980.50 | 980.50 | Exact | No review needed | |
| R-1040 | Date missing | 1,615.00 | Not in Source B, or not compared | Held · not comparedMissing date | Held before comparison |
| R-1041 | 1,120.00 | 1,120.00 | Exact | No review needed | |
| R-1043 | 1,250.00 | 1,205.00 | Amount difference | Source check | |
| R-1044 | 540.00 | Not in Source B, or not compared | Held · not comparedDuplicate reference | Held before comparison | |
| R-1046 | 760.00 | Not in Source B, or not compared | Only A | Review source coverage | |
| R-1047 | 2,015.00 | 2,015.00 | Exact | No review needed |
Reconciliation summary
Synthetic demonstrationDerived from the synthetic reconciliation model; the register above shows eight sample records.
- Source A outside matched set
- 62 A-only · 4 held, not compared
- In both
- 234
- Only B
- 4
- Source A valid for reconciliation
- 236
- Source B
- 238
- In both
- 234
- Exact matches
- 229
- Amount differences
- 5
- Only A
- 2
- Only B
- 4
- Held before comparison
- 4
- Review items
- 155 amount differences · 4 held · 2 Only A · 4 Only B
Reconciliation integrity
- 240= 236 Valid+ 4 Held
- 236= 234 In both+ 2 Only A
- 234= 229 Exact+ 5 Amount differences
- 238= 234 In both+ 4 Only B
- 15 Review items= 5 Amount differences+ 4 Held+ 2 Only A+ 4 Only B
Each stage closes back to its source population before the review output is prepared.
Logic definitions
- Valid
- Required fields and values are suitable for reconciliation.
- Held
- A data-quality issue prevents the record from entering reconciliation.
- Difference
- Both sources contain the record, but one or more compared values differ.
- Review item
- A held record, genuine reconciliation difference or source-only record requires review.
Key decision
Data-quality holds were separated from reconciliation differences. Invalid records were held before comparison instead of being treated as reconciliation exceptions.
This prevents data-quality problems from distorting the reconciliation result and keeps review categories meaningful.
Review example · R-1043
- Source A
- 1,250.00
- Source B
- 1,205.00
- Difference
- 45.00
- Status
- Amount difference
The source document was checked before correction.
A numerical pattern can suggest a possible transposition, but it is not proof on its own.
Capabilities demonstrated
- Data-quality control
- Reconciliation
- Review classification
- Review-ready reporting
Analytical boundaries
- Held records do not enter reconciliation.
- A numerical pattern may suggest a cause but does not prove it.
- A reconciliation difference is reviewed against source evidence before correction.
Evidence boundary
This case reconstructs a real operational workflow using synthetic references, dates and values. No employer, client, customer or confidential operational data is shown.