Teal supported a strategic initiative to elevate the Mining SBU’s data maturity by assessing its end-to-end data ecosystem, from operational systems (DCS, SCADA, PI, SAP, FMS, LIMS) to analytics and decision-making platforms.
The objective was to enable Mining 5.0 ambitions by building a unified, governed, and future-ready data foundation capable of supporting advanced analytics, AI use cases, and predictive operations.
Assess and modernize the Mining SBU’s end-to-end data ecosystem by evaluating operational and analytical data domains, defining a target data architecture, and establishing a robust data governance framework. The initiative aimed to improve data reliability, accessibility, and decision-making capabilities while enabling advanced analytics, AI use cases, and predictive maintenance.
Structured
data maturity assessment
End-to-end
data architecture definition
Data
governance model & operating framework
Implementation
of data management and quality standards
Roadmap
from current to target data state
Client Benefits
Accelerated
transition toward Mining 5.0
Improved
cross-domain collaboration around trusted data
Better
decision-making through structured governance
Faster
enablement of AI, digital twins, and predictive maintenance
A robust
data foundation supporting operational excellence
