Case Study:
Optimizing Operational Costs
Description
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A leading oil and gas company implemented an analytics platform to identify cost-saving opportunities and improve operational efficiency across its large-scale operations. -
The solution included models for calculating savings potential, automated dashboards for normalized KPIs, and practical use cases with proven financial impact. These analytics are actively used in regular digital planning meetings. -
While the project was executed in the energy sector, the methodology is industry-agnostic and can be applied to any enterprise seeking efficiency through normalized big data analysis.
Challenges
- Lack of visibility into performance discrepancies across assets.
- Operational complexity made direct comparison between sites unreliable.
- Missed chances to improve efficiency and cut costs from unstructured data
Solution
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Data-driven cost controlForecasts the impact of parameter changes on cost, resource use, and strategic outcomes -
Proactive issue resolutionRegular digital meetings prioritize problems and test improvement hypotheses using real-time data. -
Scalable methodologyThe normalization framework supports benchmarking across assets, operations, or vendors—adaptable to any industry.
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