Production data is often captured late and lacks timeliness; historical data is incomplete and poorly governed; weak quality control leads to unreliable inputs; and business data remains fragmented and non-standardized without integration under a unified model.
Insufficient visibility into production data, incomplete multi-dimensional displays, and weak data interaction. Early-warning systems lag behind and have high false-alarm rates, while predictive analytics are lacking.
Without real-time tools for plan–execution–control loops, issues are discovered late, tracing is difficult, and production efficiency and timely decision-making are compromised.
Production reports at all levels still rely heavily on manual offline compilation, leading to low automation, higher error rates, and inconsistent metrics.