ESGpedia powers sustainable finance with data intelligence on Databricks
APAC ESG data platform ESGpedia unified about 300 fragmented data pipelines onto a Databricks lakehouse with Unity Catalog and used Agent Bricks Custom Agents to build a RAG solution for sustainability data classification, achieving 4x cost savings in data pipeline management.
Overview
APAC ESG data platform ESGpedia unified about 300 fragmented data pipelines onto a Databricks lakehouse with Unity Catalog and used Agent Bricks Custom Agents to build a RAG solution for sustainability data classification, achieving 4x cost savings in data pipeline management.
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Inspect the highlighted sourceThe challenge
ESGpedia managed about 300 different pipelines across a fragmented ESG data landscape, each requiring extensive precleaning, processing and relationship mapping, which hampered efficiency and the ability to provide timely, personalized insights to clients.
The solution
ESGpedia built a unified lakehouse architecture on the Databricks Data + AI Platform, using Unity Catalog for data management and governance with access controls and data lineage across distributed teams in Singapore, the Philippines, Indonesia, Vietnam and Taiwan, and used Agent Bricks Custom Agents to develop a retrieval-augmented generation (RAG) solution with few-shot prompting for classifying sustainability datasets.
Reported business value
ESGpedia achieved a 4x cost savings in data pipeline management, significantly reducing operational expenses while improving efficiency, and completed the migration of about 300 pipelines in just six months, greatly improving time to insight.
Sources
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