Contaminated sites professionals have a singular mission: choose the next best action to restore the land to productive use.
Success in this endeavor requires two critical components. First, professionals need data that is reliable, and systems to show patterns in the dataset we haven't seen yet.
Statvis Analytics provides the tools and workflows to help you get the most from your environmental data on contaminated sites so you can restore land to productive use.
Column shifts, transposition errors, and transcription mistakes accumulate as data moves from lab certificates to reports to spreadsheets—and traditional QA/QC doesn't catch them.
Two case studies where UMAP and HCA identified bad data that passed traditional QA/QC and external validation—including fictitious PCB results used for over two years.
Passing QA-QC doesn't make data defensible. If you can't trace it back to source documents, you have numbers without context.
Bring us one site's documents. We'll show you what's in them.