AWS · Energy & Utilities
Grid analytics platform delivered ESG reporting in hours, not weeks.
We unified grid + market data on AWS with a lakehouse pattern — ESG reporting collapsed from weeks to hours and predictive analytics live for load forecasting.
[ESG reporting]
hours
[Forecast accuracy]
+22%
[Systems unified]
20+
[ The Problem ]
Where the business was stuck.
Utility ran ESG reporting on quarterly batches with data scattered across 20+ systems.
[ Key Challenges ]
- ▸Data across 20+ operational and market systems
- ▸ESG reporting required weeks of manual work
- ▸No predictive load model
Our approach
How we engineered
the outcome.
STEP 01
Lakehouse on S3 + Iceberg + Athena
STEP 02
Unified data model across grid + market feeds
STEP 03
Load forecasting with SageMaker
[ Solution highlights ]
Delivered — measured — in production.
- ✓ESG reports generated in hours
- ✓Load forecast MAPE improved 22%
- ✓Analyst backlog eliminated
[ Tech stack ]
Built on AWS.
AWS
Iceberg
Athena
SageMaker
"
ESG stopped being a scramble every quarter — it's a dashboard.
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