1. Water Quality Compliance Data Validation
2017 Hach WIMS National User Conference
John Holland Operations Data Analyst

2. 4 regions
68 Water Systems
~8600 Compliance Samples / year

3. Setup

5. Implementation

7. For each sample Open = 0 Received = 4 Analyzed = 5 Skipped = 8
Closed = 9
For each sample

8. Goals Large amount of compliance data
Checking sample meta-data, validating results
Approving results, closing samples

9. When manipulating data with SQL commands
Ensure results match intentions (test environment/Sandy Beach)
Users have access to dashboards/buttons that accomplish things they should be allowed to
Bypassing checks put in place by the program

10. UNINTENDED STRANGENESS

11. Validation

18. Approval

22. Summary Large amount of compliance data
Checking sample meta-data, validating results
Approving results, closing samples

23. Questions