Value Yield
Stop measuring “work done” and start measuring “value delivered.” Translate activity into economic outcomes per segment, per team, per process.
PROCESS MINING ENGINE // PYTHON LIBRARY // YOUR INFRASTRUCTURE
A high-performance process mining engine that turns enterprise event logs into value yield, flow truth, and actionable intelligence. Powered by Polars. Ready for Power BI. Runs on your metal.
Standard KPIs reward tickets closed, not problems solved. Observatory applies Lean and Six Sigma principles to expose the gap between what your workflows report and what they actually deliver.
Observatory ingests event logs from your enterprise platforms and applies process mining, network analysis, and Lean diagnostics to reveal where value leaks, where flow breaks, and where teams game the metrics.
The analytical core is a C++ library delivering 80–100x the throughput of pure Python. Wrapped in a clean Python API built on Polars, it runs entirely on your infrastructure. No data leaves your network.
Stop measuring “work done” and start measuring “value delivered.” Translate activity into economic outcomes per segment, per team, per process.
See constraints, queues, and bottlenecks directly. Detect end-loading behaviors where teams rush to meet quotas at the deadline instead of sustaining flow.
Run Monte Carlo envelopes and shock scenarios to stress-test assumptions. See what happens if capacity drops or demand spikes—before it happens.
Outsourcing was the answer to inefficiency. Now we fix the inefficiency instead. Process intelligence, automation, and Lean diagnostics make domestic operations faster, cheaper, and higher quality than offshore alternatives—without the coordination overhead, quality drift, or geopolitical exposure.
Offshoring hides its costs in coordination lag, rework cycles, timezone friction, and IP exposure. When you measure the full process—not just unit labor—the savings evaporate. Observatory quantifies what the spreadsheet never shows.
The repetitive work that drove outsourcing is now automated. What remains is judgment, adaptation, and speed—exactly what local teams with process intelligence deliver better. Optimize instead of offshore.
Pair Observatory with Odoo and you get end-to-end process truth—from ERP transactions to workflow bottlenecks to value delivery. One stack. No black boxes. Complete control over your operations.
Every job repatriated is a skill invested locally. Process mining identifies where automation handles volume and where human expertise creates value—so you build capability at home instead of renting it abroad.
Better data. Shorter loops. Local teams. The rust belts become production zones again—not through policy, but through intelligence.
Free for commercial use with attribution. Run it on your laptop, your server, or compile to WASM for secure browser-side analysis.
# Install pip install ghostcitadel # Analyze a Jira export from ghostcitadel import Observatory obs = Observatory("jira_export.csv") obs.detect_platform() obs.mine( metrics=["value_yield", "flow_efficiency"], lean_mode=True ) obs.export("power_bi_ready.parquet")
All engineering is based in the UK and EU. We hire from top-tier institutions. No outsourcing to low-cost centers.
This is a library, not a SaaS platform. It runs on your infrastructure. It does not phone home. You hold the keys.
Information follows the customer. Standard exports, no proprietary formats, no consulting contracts required to access your own data.
Free for commercial use with attribution. Ideal for teams with Python capability.
pip install ghostcitadel
Don’t have the team? We implement, optimize, and run the observatory for you. Custom metrics, white-labeling, and setup.