Data and AI strategy
Tie the data plan to how the company makes money and supports corporate and business decisions, so every project has a reason to exist.
Data engineering
The foundations underneath AI-ready data
We design, build and hand over the foundations good analytics has always needed. Customer-specific deliverables are yours. Access and any external services are agreed before work starts.
Data architecture and governance
Who owns each data set, what each number means, where it came from, and the quality rules that keep it right.
Data warehouses and lakehouses
One place for operational, financial and engineering data, designed for reporting and AI on the platform you already lean toward.
Pipelines and integration
Connect production, accounting, ERP, MES, LIMS, historians and spreadsheets.
Data quality and master data
One well, one part, one batch, with the same ID in every system.
BI and reporting
Dashboards on trusted data, in Spotfire, Power BI or whatever you already use.
Performance benchmarking
LOE, cycle times, well performance and cost per BOE against plan and peers, including performance optimization.