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:

  • Deployment 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