Building a Modern Data Foundation for a New Era of Water Utilities
The water and sanitation industry in Brazil is undergoing significant change. New legal and regulatory requirements and increasing operational complexity have created pressure to improve efficiency while continuing to deliver reliable service to millions of customers.
For Sabesp, data became a strategic asset in navigating this transformation. The organization needed a platform capable of supporting operational analytics, customer service modernization, fraud detection, and AI-driven innovation across a diverse set of business functions.
Prior to Databricks, however, the company’s data architecture was built around a traditional Oracle Exadata data warehouse. While the platform had served the organization for years, it became increasingly difficult to scale as data volumes and analytical demands grew.
The legacy environment created several challenges. <a href="https://bitcomme.com/medusa-ransomware-hits-500-critical-infrastructure-orgs-by-buying-access/” title=”Medusa Ransomware Hits 500 Critical Infrastructure Orgs by Buying Access”>Infrastructure costs continued to rise, data remained difficult to access across business functions, and complex ETL processes slowed the delivery of new use cases. At the same time, the architecture was not designed to support modern AI, machine learning, or real-time analytics workloads.
