FCW Viewer

FCW Viewer ingests Forecasted Content Workload (FCW) data and produces structured insight for planning and reporting. It supports JSON and CSV inputs, validates required fields, and computes per-metric statistics including count, min, max, and mean. It also delivers time-series data with moving-average smoothing and percentile bounds (P90/P95) to reveal distributional shifts. An optional anomaly detector flags periods where values deviate from historic norms, aiding early intervention. The tool abstracts the data domain to deliver reusable metrics that content ops, SEO teams, and analysts can act on. It is designed for datasets that describe anticipated content volume, throughput, or workload signals across time, enabling quick comparisons across windows and metrics. The output is designed for easy export to reports and dashboards, with two-decimal formatting for numeric results and UTC-normalized timestamps for consistency. Core value lies in turning raw FCW feeds into actionable signals, supporting capacity planning, campaign scheduling, and performance forecasting. Typical use cases include monthly content quotas, weekly publishing waves, and KPI tracking for editorial pipelines. By separating data ingestion, validation, aggregation, and anomaly detection, FCW Viewer provides a transparent, auditable workflow that reduces manual analysis time and improves stakeholder communication.