Practical guidance to turn time-series and OT signals into repeatable intelligence for OEE, maintenance, and operations decisions.
An interactive, practical checklist to guide teams through integrating SCADA/OT telemetry with enterprise BI. Covers inventory, time alignment, sampling, tagging, asset mapping, contracts, latency, security, provenance, quality checks, example KPI queries, monitoring, and implementation ownership.
A practical, stepwise recipe for ingesting SCADA/OT data, aligning timestamps and labels, making time-series data queryable for BI teams, and producing reliable operational KPIs while preserving OT security and reliability.
A practical, step‑by‑step guide to turn time‑series and OT (SCADA/PLC) telemetry into operational dashboards, maintenance signals, and decision playbooks. Covers sensor selection, sampling and aggregation patterns, smoothing vs raw data, OEE calculation, common anomaly detection approaches, short‑latency dashboard design, and concrete playbook snippets for routing alerts into maintenance workflows. Includes an actionable sensor‑to‑dashboard lifecycle checklist you can adapt for your site.
A practical, operations‑focused playbook for framing predictive‑maintenance use cases, choosing sensors and features, labeling and validation strategies (including lead‑time analysis), integrating models into maintenance workflows, tuning alarms, and defining clear human‑in‑the‑loop responsibilities so predictive signals become trusted, actionable work.