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Scalable Data Platform and Reporting Suite for a Midstream Company Using Databricks
Problem Statement: Inefficient Data Management & Disconnected Reporting Systems
A leading North American oilfield-exclusive fueling solutions provider—part of a large holdings conglomerate—faced substantial issues with its legacy data architecture. Key operational bottlenecks included:
Manual Data Retrieval
across departments such as HR, Accounting, and Recruitment.
across departments such as HR, Accounting, and Recruitment.
Tool-Specific, Siloed Reporting
that lacked consistency and hampered decision-making.
that lacked consistency and hampered decision-making.
Absence of a Centralized Data Platform
impeding unified analytics.
impeding unified analytics.
Data Integration Challenges
that delayed reporting and increased dependency on Excel-driven workflows.
that delayed reporting and increased dependency on Excel-driven workflows.
Limited Data Visibility
making trend recognition and opportunity identification difficult.
making trend recognition and opportunity identification difficult.
These issues significantly impacted supply chain responsiveness, increased support volume, and introduced frequent downtime across fueling operations.
Impact: Delayed Decisions, Missed Opportunities, and Cost Overruns
This outdated infrastructure resulted in:
Delayed Business Decisions
due to high turnaround times (TAT) on reports.
due to high turnaround times (TAT) on reports.
Operational Inefficiencies
with up to 70% of analysts' time spent preparing data.
with up to 70% of analysts' time spent preparing data.
Lack of Real-time Reporting capabilities
Fragmented Business Intelligence
undermining cross-departmental synergy.
undermining cross-departmental synergy.
Missed Strategic Opportunities
due to poor insight generation.
due to poor insight generation.
Solution: End-to-End Data Platform & Business Intelligence Suite Powered by Databricks
JBS designed and delivered a modern, cloud-native data platform and reporting framework that featured:
1. Centralized Data Lake Implementation
- o Built on Delta Lake to ensure scalable, high-performance data storage.
- o Consolidated siloed information across operational, financial, and HR systems.
2. Automated Data Integration Pipelines
- o Leveraged Azure Data Factory and Databricks Workflows for real-time data ingestion.
- o Ensured accurate and timely data from field devices, ERP systems, and third-party APIs.
3. Advanced Reporting Suite with Power BI
- o Developed customizable real-time dashboards for executives and department heads.
- o Delivered interactive visualizations that allowed deep data exploration.
4. User Enablement & Training
- o Conducted workshops and training for business users.
- o Promoted self-service BI to reduce IT dependency and encourage data literacy.
5. Real-time & Historical Segregation
- o Introduced a bifurcated reporting layer to support distinct use cases:
- o Real-time operations monitoring.
- o Historical performance benchmarking.
Business Benefits: Accelerated Decisions, Lower Costs, and Higher ROI
⏱️ 80% Reduction in Report TAT
From hours to minutes with real-time access.
From hours to minutes with real-time access.
💵 60–70% Reduction in Manual Effort
via automated pipeline orchestration.
via automated pipeline orchestration.
🧠 Strategic Insight Generation:
at all levels of the organization.
at all levels of the organization.
🔍 Enhanced Data Visibility
Unified view across departments led to quicker detection of inefficiencies.
Unified view across departments led to quicker detection of inefficiencies.
💡 Improved Collaboration
and operational alignment via integrated BI.
and operational alignment via integrated BI.
Technology Stack
Databricks
Delta Lake
Azure Data Factory
Azure Compute Services
Power BI
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