Your LOE and LOS numbers are in BOLO. Your team cannot get to them without asking someone to run an export.
An independent oil and gas operator had its financial and production data locked inside P2 BOLO, a Linux-based production accounting system. Getting numbers in front of decision-makers required manual exports, spreadsheet assembly, and report requests that took days. Armely built a self-service BI platform from the ground up with a SQL Server data warehouse, an SSAS analytical layer, and Power BI reports accessible on desktop and mobile.
Does this describe your operation?
- Financial data lives in P2 BOLO, but only a few people can pull it out
- LOE and LOS reports require a manual export-and-format process every time they are needed
- Different teams work from different versions of the same spreadsheet with no single source of truth
- Leadership reviews happen with last period's numbers because current data is not ready
- When someone is in the field, the numbers are not accessible at all
- Reconciling data from different exports consumes time that should go to analysis
What Armely built for an independent operator
An independent E&P operator had revenue, lease operating expenses, and production data in P2 BOLO on a Linux server. The system held what the business needed, but getting the data out required technical access and manual effort.
Armely built a SQL Server data warehouse connected directly to P2 BOLO through a linked service, an SSAS tabular cube for fast aggregations with defined security, and three Power BI reports covering LOE, LOS, and financial reporting.
Scheduled automated refresh and Power BI Gateway made the reports accessible on desktop and mobile. The team now pulls current financial data without waiting for anyone to run a report. LOE and LOS numbers stay current, and leadership can review the portfolio from the field or the office.
At a glance
| Before | After |
|---|---|
| Financial data locked in P2 BOLO, accessible only to technical staff | SQL Server data warehouse connected directly to BOLO with automated ingestion |
| LOE and LOS reports required manual export and formatting each time | Three Power BI reports with scheduled refresh show current data on demand |
| Different teams worked from different versions of exported spreadsheets | One data warehouse, one analytical layer, and one source of truth for the business |
| Leadership reviews used last period's numbers because current data was not ready | Reports show current data with automated refresh through Power BI Gateway |
| Numbers were inaccessible when staff were in the field or offsite | Full mobile access to all three reports through the Power BI mobile app |
| No security model, with access depending on who could reach the files | Security defined at the SSAS cube level, controlling data access by user |