Data Governance & Analytics
Clean up and align data across systems, then use it for analysis and prediction
Four steps that turn scattered data into a trustworthy basis for decisions: consistent definitions → governance → analysis → prediction.
Core Capabilities
01
Consistent definitions
Establish one definition for equipment, materials, customers and processes — what they are, their attributes and relationships — so systems line up and connect.
02
Data governance
Data standards, master data management, quality checks and source traceability — making multi-system data trustworthy and usable.
03
Big data analytics
Metric systems and operations dashboards, conversational querying, anomaly and opportunity insight.
04
Prediction & recommendation
Staged recommendation (cold start → growth → mature) and a range of prediction methods: e-commerce selection & conversion, manufacturing quality & capacity, mining equipment failure & safety alerts.
Four steps
Clean up and align data first, then use it for analysis and prediction — consistent definitions are what let systems line up and connect.