What is slow data movement costing you?
Data pipelines steal time in units nobody itemizes. Here's the itemization — pre-filled with typical numbers, ready for yours.
pipeline hours returned = (your baseline − our minutes) × jobs/week × 52
Your numbers. Your math. Our engine.
That is the annual output of — full-time engineers — spent entirely on waiting.
Adjust to your reality
Every field starts on a typical value. Change any of them and the numbers above update instantly.
Methodology & assumptions — how to defend this number
Two clocks, two formulas: Operational (pipeline) hours returned = (baseline − DataForge time) × jobs per week × 52 — pure wall-clock, independent of staffing. Organizational (human) hours returned = pipeline hours × human time allocated per job. Dollars = human hours × loaded cost. Speedup = baseline ÷ DataForge time, per job. The operational number is unaffected by the human-time input — it cannot be inflated. Human time allocated is the combined share of human attention a job consumes (monitoring, waiting, reconciling), entered as a decimal or a fraction — 0.25 and 1/4 are the same value. Zero is honest: unattended pipelines read $0 organizational value while operational value still counts.
Assumptions you are making when you fill it in: each "blocked" person is genuinely stalled for the full job duration (count only real idle time, not everyone downstream in a dependency graph); jobs do not share the same waiting people (if they do, count that person once); baseline reflects your actual measured job times, not worst cases.
One number, one job: this calculator estimates the cost of waiting inside your organization. It is not a market-size estimate — the economy-wide cost of slow data movement is far larger, and is a different number for a different conversation. Keep them separate and both stay credible.
Provenance: the DataForge default reflects published benchmarks — 2.7 GB ingested in under 2 minutes; 1,181,807 rows/sec sustained on commodity infrastructure; 2,608,874,016 rows validated at Δ0 (zero net row delta) on the public CourtListener corpus. Baseline defaults are illustrative industry norms — replace them with your own. Patent‑pending. Live on Google Cloud Marketplace.