Our client is one of India's leading electricity distribution companies, serving millions of consumers at significant operational scale. Generating vast volumes of data across its enterprise, the company recognised that its existing fragmented infrastructure was preventing it from becoming a truly data-driven organization — and set out to build a modern, cloud-native enterprise data platform capable of supporting real-time analytics and AI-powered decision-making across all business functions.
Diverse data sources across the enterprise operated in isolation, with no unified ingestion layer, no real-time analytics capability, and no self-service access to insights for business teams. Without centralized governance or advanced security controls, ensuring data quality and compliance at enterprise scale had become increasingly difficult — and the absence of AI-ready infrastructure meant the organization's data assets remained significantly underutilized.
Cloud4C, as a trusted Google Cloud partner, designed and delivered a secure, governed enterprise data lake on GCP — integrating real-time ingestion via Cloud Pub/Sub, unified processing through Data Fusion and Apache Beam, and advanced analytics powered by BigQuery, BigQuery ML, and Vertex AI. Looker dashboards enabled self-service insights across business units, while IAM, DLP, and Cloud Security Command Conter enforced enterprise-grade governance and security across the full data estate.
Data-driven operations enabled at enterprise scale
Real-time AI analytics activated organization-wide
Unified governance across all data workloads
Self-service insights delivered to business teams
Enterprise-grade SOC and DLP security enforced