The Challenge
An Oil Sands operation was struggling to make effective use of its operational data. Multiple site‑level historians, inconsistent tag structures, and poor data quality made it difficult to trust the information being used for reliability and emissions reporting.
Key challenges included:
Key challenges included:
- Siloed historians across operations and maintenance teams
- Inconsistent and undocumented tag naming conventions
- Unvalidated and unreliable data feeding reports and analytics
- Limited confidence in data used for reliability analysis and emissions tracking
The Solution
Spartan worked with the customer to establish a secure, OT‑aligned data foundation designed for long‑term reliability and reporting confidence.
The solution included:
The solution included:
- Implementing a standardized OT data model across systems
- Cleaning, validating, and normalizing historian tags to improve data quality
- Establishing secure data pipelines from OT systems to centralized analytics platforms
- Ensuring integration approaches respected operational reliability and cybersecurity boundaries
The Value
With a trusted data foundation in place, the customer gained a reliable single source of truth for both operations and maintenance teams.
Key outcomes included:
Key outcomes included:
- Increased confidence in reliability and emissions reporting
- Improved alignment between operations, maintenance, and analytics teams
- Reduced time spent validating and reconciling data
- A scalable foundation to support future analytics and digital initiatives
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