Data Platform and Reporting Suite for Midstream Company

Databricks Data Platform & Power BI Reporting Suite for Midstream Oilfield Services

Impact Section

Problem: Inefficient Data Management & Reporting in Midstream Operations

A leading North American oilfield-only fueling company, part of a larger energy holdings group, was burdened by disjointed reporting workflows and an absence of centralized data architecture. Key challenges included:

No Central Data Lake
Data was siloed across HR, accounting, fueling systems, smart meters, and procurement platforms hindering holistic business intelligence.

Manual Data Workflows
Reporting was highly labor-intensive, error-prone, and delayed decision-making.

Limited Departmental Access:
Teams such as HR and recruitment were isolated from business reporting, reducing cross-functional visibility.

Slow Turnaround Time (TAT)
Reports were outdated by the time they were delivered, causing missed insights and reactive strategies.

Solution Section

Solution: Centralized Data Platform & Real-Time Reporting Suite

JBS delivered a complete data platform and reporting suite for midstream operations powered by Databricks and Power BI, addressing core operational bottlenecks with:

Databricks Data Lake Implementation
A secure, scalable data lake was built using Databricks and Delta Lake, consolidating structured and semi-structured data for a single source of truth.

Automated Data Integration Pipelines:
Using Azure Data Factory and Apache Spark, automated data ingestion pipelines were created for:

• Fuel transactions
• Financial data
• CRM & HR records
• Field device telemetry

Power BI Reporting Suite for Real-Time Visibility
An enterprise-grade Power BI reporting suite delivered role-specific dashboards for:

• Leadership (KPI dashboards)
• Field operations (daily fueling performance)
• HR & finance (labor efficiency, payroll tracking)

Self-Service BI Enablement
Business users were trained and equipped with self-service reporting capabilities, accelerating adoption across business units.

Segregated Real-Time & Historical Reporting
The platform allowed for both real-time reporting for critical operations and historical trend analytics, each with optimized performance SLAs.