Analytics & Optimization Solution for Energy Sector
Engagement Details
Leading natural gas company, India
Associated since: 2019
Service Type:
Application development/QA
Service Model:
Managed services
Status: Completed
Methodology: Waterfall
Scope/Challenges/Key objectives
Business case:
Supply, design, development, configuration testing and implementation of advanced data analytics and optimization software.
Challenges:
- Lack of optimization & forecasting tool
- Lack of single unified solution for different business unit
- Accessing data from different locations
- No optimum production cost
- No optimal product mix and polymer margins
Solution, Technical Environment, Benefits
Solution / Project Engagement:
- Deployments of analytics & optimization solution for all the custom business segments, initially covering 3 areas of petrochemical business- production, margin and price optimization
- Performing requirement assessment
- Installation and configuration of SAS software components for analytics and optimization (e.g. SAS servers, SAS clients, etc.) on development/ QA, production environments.
- Design solution architecture & blueprint documentation.
- Execute ETL activities for existing data sources from SAP modules, design 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
Benefits:
- All plant operation related constraints are minimized
- Firm orders are met with minimum possible slippage and cost
- Overall operating cost associated with the grade changeover is minimized by optimizing the transition time and cost, inventory cost and operating cost
- All plant operation related constraints are minimized
- Firm orders are met with minimum possible slippage and cost
- Overall operating cost associated with the grade changeover is minimized by optimizing the transition time and cost, inventory cost and operating cost
