DOVA gives CI leaders a real plant baseline, a living Pareto of losses, and before/after proof for every initiative. Your next kaizen starts with data, not a week of data-gathering.

Downtime Pareto and rejection reasons — the view you actually need for a kaizen.
You ran the kaizen. Did it stick? Without a shared baseline, arguments about impact replace evidence. Gains drift back to where they started within a quarter.
"I think line 3 is slow" turns into a week-long study to confirm what the floor already knew. The biggest losses rarely announce themselves.
Production data lives in spreadsheets, paper logs, and someone's phone. Every review meeting starts with an hour of data-cleaning.
Downtime reasons and rejection reasons are captured at the station and rolled into department and plant-level Paretos. The top three causes are always current — not last month's view.
Compare any two periods. See OEE, availability, performance, and quality shift — for a machine, a department, or the whole plant. Your kaizen either moved the line or it didn't, and the data shows it.
Automated OEE per machine surfaces the quiet losers — the lines where availability is fine but performance is silently eating your throughput. Target the fix where the return is real.
Every figure on every chart traces back to an event captured at the source. Export a department view or screenshot it straight into your A3. No parallel spreadsheet required.
Book a demo and we'll walk through the Pareto and before/after views against a sample plant set up to look like yours.