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Data & Systems · Definition

Predictive Analytics

Using historical patterns to estimate what is likely to happen next.

Predictive analytics applies statistical or machine-learning models to operational history to project outcomes — demand next month, which invoices will pay late, which items will stock out.

The output is a probability, not a fact, so it is useful where it changes a decision you would otherwise make blind. Predictions nobody acts on are an expensive form of reporting.

Also called

  • forecasting analytics
  • operational AI

See it in AWRA OpsHub

Predictive Insights

Related terms

Demand Forecasting

Estimating future demand to plan purchasing and stock levels.

Dashboard

A curated view of current metrics for a specific audience and decision.

Key Performance Indicator

KPI

A quantified measure tracked against a target to judge performance.

Anomaly Detection

Automatically flagging transactions or patterns that deviate from the norm.

More in Data & Systems

Application Programming Interface (API) Data Hygiene Data Migration Deduplication Idempotency Master Data Management (MDM) Offline-First Rate Limiting

Predictive Analytics is not just a definition here

Data & Systems runs on this vocabulary every day in AWRA OpsHub — 19 of our 257 glossary terms describe things the platform actually does.

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