Workforce & Hierarchy
- Active worker populations
- Employee and contractor matching
- Departments, sites and companies
- Manager and reporting relationships
CloudHub Safety Data Assurance
Can you trust the numbers in your safety reports?
CloudHub reconciles safety, workforce, learning, contractor and reporting data so organisations can identify where numbers diverge and put controls around the data feeding operational and executive decisions.
Why it matters
Different systems can all be technically correct—and still disagree.
When HRIS, LMS, contractor, safety and reporting platforms use different keys, dates, hierarchies and business rules, management reporting can drift away from the underlying operational reality.
Workforce
Different worker populations
HRIS may show active employees while the safety system includes contractors, historical workers or stale records. The population being reported needs a clear definition.
Learning
Competency and expiry mismatches
Course names, skill codes, completion dates and expiry logic can vary between LMS, contractor and source systems.
Safety
Classification and date differences
Incident type, injury classification, reporting date and organisational attribution can materially change trends and rates.
Reporting
Power BI can faithfully reproduce the wrong rule
A technically correct model still depends on trusted source data and agreed business definitions.
Assurance scope
Reconcile the data that drives safety and compliance decisions.
Training & Competency
- Skill and course mapping
- Completion and expiry dates
- Current versus historical competency
- Duplicate and superseded records
Incidents, Hazards & Risk
- Classification rules
- Reporting and event dates
- Organisation and contractor attribution
- Recordable and rate logic
Hours & Exposure
- Hours source and period
- Employee/contractor splits
- Missing and duplicate records
- Rate denominator validation
Power BI & Reporting
- Transformation logic
- DAX and KPI definitions
- Refresh completeness
- Source-to-dashboard variance
Integration Controls
- API and SFTP exceptions
- Matching and update rules
- Rejected or missing records
- Reconciliation and ownership
Assurance process
Make variance visible and repeatable.
01
Define
Agree sources of truth, reporting scope, business rules and expected populations.
02
Reconcile
Compare records, counts, keys, dates, classifications and outputs across systems.
03
Explain
Identify why differences exist and separate valid business exceptions from data defects.
04
Control
Build repeatable checks, exception reports and ownership so the same problem does not reappear each month.
Typical deliverables
Reconciliation workbook
Exception register
Source-of-truth map
Business-rule register
Duplicate analysis
Missing-record analysis
Reporting variance
Remediation actions
Automated checks
Ongoing assurance process
One-off or managed
Turn reconciliation into a control, not a month-end scramble.
CloudHub can run a focused data review or operate recurring assurance alongside managed systems and Power BI reporting.
01 · REVIEW
One-Off Data Assurance Review
Use when a dashboard, migration, integration or compliance report is producing unexplained differences.
- Scope and rule definition
- Cross-system comparison
- Root-cause analysis
- Remediation roadmap
02 · CONTROL
Recurring Data Assurance
Schedule regular checks so data defects are identified before they reach management reporting.
- Automated reconciliation
- Exception reporting
- Trend and variance monitoring
- Remediation coordination
03 · MANAGED
Managed Reporting & Assurance
Combine Power BI maintenance, source-data validation and integration monitoring into one operating service.
- Refresh monitoring
- Data validation
- Dashboard changes
- Monthly reporting support
Safety data assurance FAQs
Common questions.
Not always. Many reviews can begin with controlled extracts, reporting outputs and integration files. Direct access may become useful where configuration or source logic needs deeper investigation.
Yes. CloudHub can review Donesafe source data, transformations, reporting logic and Power BI outputs to identify where classifications, dates, hierarchy or calculations diverge.
Where the data sources support it, CloudHub can automate recurring comparisons, exception files, alerts and reporting using APIs, scheduled files, Power Automate, SQL and Power BI.
If the report is important enough to act on, the data is important enough to assure.
CloudHub can trace the reporting chain, identify variance and establish repeatable controls around the numbers.