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

4 regions 68 Water Systems ~8600 Compliance Samples / year

Setup

Implementation

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

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

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

UNINTENDED STRANGENESS

Validation

Approval

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

Questions