Organizing Brownfield Data Across Multiple Plants.
LEADING ENERGY CORPORATION
Streamlining Brownfield Data Integration for Enhanced Operational Insights
A major energy corporation faced challenges in managing and analyzing vast amounts of brownfield data across multiple process plants. By implementing Kobai Precursor, the company aimed to unify disparate data sources, enabling seamless integration into their analytics environment and unlocking significant operational value.
PROJECT
Integration of brownfield data across multiple plants into a unified analytics platform.
WHAT WE DID
Data Mapping, Semantic Modeling, Analytics Integration.
CLIENT
Confidential Energy Client
TIMELINE
Start: March 2025, 6 Weeks Design, 10 Weeks Implementation
PROJECT INFORMATION
The energy corporation operated several brownfield process plants, each with its own legacy systems and data formats. This fragmentation hindered effective data analysis and decision-making.
Kobai Precursor was deployed to map and model the diverse data sources, creating a cohesive semantic layer that facilitated integration into the company's analytics platform.
CHALLENGES
- Disparate data systems across multiple plants
- Inconsistent data formats and structures
- Limited visibility into aggregated operational data
RESULTS
- Unified brownfield data across all process plants.
- Enhanced data quality and consistency.
- Improved operational insights leading to informed decision-making.
40%
Integration Time Reduction
35%
Data Quality Improvement
25%
Operational Insight Accuracy Increase
Implementing Kobai Precursor transformed our approach to brownfield data, enabling us to harness the full potential of our operational information.
Chief Data OfficerConfidential Energy Client