Reported impact
Business outcome
KPMG improved enterprise data federation, governance, and analytics modernization with measurable results including faster delivery from raw data to production decisions, while giving teams a faster path from governed data to production decisions.
- Compliance
- Productivity Improvement
- Scalability
Solution
KPMG uses Databricks Data + AI Platform to support enterprise data federation, governance, and analytics modernization. The implementation replaced a legacy state where legacy Hadoop infrastructure and firmwide data silos made it difficult to serve analytics, machine learning, and AI use cases with the speed clients expected. On-premises sql data and cloud warehouse data move through Spark Declarative Pipelines and land in Delta Lake, giving teams one trusted data foundation. Unity Catalog and Delta Sharing governs access, lineage, and compliance across sensitive datasets. Databricks SQL, MLflow, and Agent Bricks operationalize models, agents, and analytics that deliver federated governed datasets and Power BI dashboards. KPMG improved enterprise data federation, governance, and analytics modernization with measurable results including faster delivery from raw data to production decisions, while giving teams a faster path from governed data to production decisions.
Data flow
On-premises sql data and cloud warehouse data land on a shared platform, pipeline services clean and standardize them, governance controls enforce trusted access, and AI, model-serving, and analytics services deliver federated governed datasets and Power BI dashboards.