Comprehensive Analytics and Optimization Solutions for the Gas & Oil Industry
Case Studies
Challenges & Solutions
Technical Environment
Results
Executive Summary
Client
Gas Company
Industry
Gas and Oil
Business Problem
Involved the supply, design, development, configuration, testing, and implementation of advanced data analytics and optimization software for the major gas and oil industry. This comprehensive project aimed to enhance data analytics capabilities and optimize operational efficiencies. It encompassed the end-to-end process of delivering a sophisticated software solution, including initial design and development phases, thorough configuration and rigorous testing, and final implementation. The goal was to equip the industry with advanced tools to drive data-driven decision-making and optimize performance across various operational facets.
Outcome
- Optimized production, margin, and pricing strategies in petrochemical segments.
- Established a robust analytics infrastructure with SAS software.
- Developed detailed architecture and documentation for implementation.
- Implemented ETL processes and designed advanced analytics and data visualization components.
Challenges
- There was a lack of optimization and forecasting tools.
- The organization did not have a single unified solution for its various business units.
- Data was accessed from disparate locations, resulting in inefficient management.
- Production costs were not optimized, and there was no effective strategy for achieving the optimal product mix and maximizing polymer margins.
Solutions
- Deployed analytics and optimization solutions across all custom business segments, initially focusing on three areas of the petrochemical business: production, margin, and price optimization.
- Conducted a thorough requirements assessment and installed and configured SAS software components for analytics and optimization, including SAS servers and clients, in development, QA, and production environments.
- Designed the solution architecture and created detailed blueprint documentation.
- Executed ETL activities for existing data sources from SAP modules and designed analytics and data visualization components.
Technical Environment
- SAS data management with standard data surveyor for SAP.
- SAS visual analytics(VA), SAS enterprise miner with SAS analytics pro.
- SAS O/R, SAS access, SAS ETS add-on.
Results
- Operation constraints minimized.
- Operation cost optimized.
- Optimizing the transition time and cost.
- Slippage cost minimized.
- Inventory cost optimized.