Zometric Data Extractor

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Zometric Data Extractor answers the integration question nobody budgets for: how do you ingest data from systems you don't own and can't change? Machines you control connect through IIoT. Everything else arrives as files: CMM Excel exports, automated-inspection PDFs, supplier CSVs and lab JSON. Data Extractor turns those files into clean, structured manufacturing data automatically. How it works: * Source file support for Excel, PDF, CSV and JSON, via browser upload or a watched folder. The format you actually get from suppliers and instrument vendors, not the format you wish you got * Template matching: define the template once per source, whether a CMM make and model, a supplier, or an inspection-system vendor, and the system matches incoming files automatically. No re-mapping every shipment * Extract and map: field-level mapping with validation and unit-of-measure conversion. The data lands clean or it doesn't land at all * API push: cleaned data is delivered to the right destination via a public API, whether that's SPC, inspection, gauge or production records. The downstream system never has to know whether the data came from a PLC or a PDF The common cases it was built for: * CMM output capture, so coordinate measuring machine results flow into SPC without retyping * Automated inspection system outputs * Supplier data onboarding, turning certificate-of-analysis and inspection files into usable incoming-quality records * Historical data migration during digitalization projects Zero IT setup: browser-based with no thick-client install. Working alongside Zometric Edge, the platform covers both the connected machines and the disconnected paperwork for 100 percent data coverage. Free pilot configurable in 2 to 3 weeks with your real files.

Zometric Continuous Improvement Management

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Zometric Continuous Improvement Management answers the question every operations leader asks: which improvement projects are actually moving the P&L? It runs a structured pipeline from idea to verified savings, so the same record carries a project from a one-line operator suggestion to a finance-validated number. The idea-to-impact pipeline: * Idea capture, methodology assignment, project execution, workflow gates and ROI tracking on one record * Structured methodologies: DMAIC, A3, Kaizen, 8D, CAPA and custom roadmaps, each enforced as a workflow with the gates, deliverables and stakeholders the framework expects * Problem-solver workflow: 8D problem solving built in, with Fishbone, 5-Why and Is/Is-Not analysis auto-linked to corrective actions and RCAs. The investigation lives on the same record as the project that came out of it Visibility and accountability: * Portfolio dashboard: a real-time view of every active project with status, owner, savings and timeline. The CI leader sees the whole portfolio; each project owner sees their own gate * Savings verification: track hard and soft savings per project, validate against financial data, and report aggregate CI impact to leadership. The CFO and the CI head finally read the same number Statistics without leaving the workflow: * Project teams invoke the full Statistical AI engine directly inside a project: hypothesis tests, capability studies and DOE, each output explained in plain language. Before-and-after evidence comes from real process data on the shared Zometric backbone rather than manually assembled decks Built around Lean Six Sigma practice: DMAIC, A3, Kaizen, 8D and CAPA. Suits CI, quality and operational excellence teams running programs across one plant or twenty. Browser-based with nothing to install. Free pilot configurable in 2 to 3 weeks with your real factory data.