Practical methods for time-series modeling, aggregation windows, seasonality, and real-time monitoring.
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 operational playbook for modeling, aggregating, and monitoring time-series data from sensors, SCADA/OT, IoT, logs and product metrics. Provides concrete patterns for aggregation windows, irregular sampling, seasonality and holiday adjustments, baseline forecasting for anomaly detection, alerting strategy and escalation, dashboard design, and evaluation metrics — with common pitfalls and sample queries to apply immediately.
A practical, operational guide to modeling, aggregating, baselining, and monitoring time-series signals. Covers timestamp semantics and alignment, irregular sampling, seasonality and holiday adjustments, simple statistical models vs ML approaches, anomaly detection strategies, alerting design, evaluation metrics, and common implementation pitfalls.