How We Improved SAP ECC Data Processing Efficiency by 45% Using a Governed Databricks Lakehouse for Zachry

Challenge: Complexities in SAP-driven reporting without a centralized analytics platform

The client required a scalable data foundation to extract complex SAP ECC tables and convert them into a unified source of truth for analytics. Manual exports delayed reporting, and business teams lacked governed, curated datasets. The initiative needed structured incremental extraction, bronze, silver, and gold Databricks architecture, governance through Unity Catalog, and analytics-ready access through Genie Workspace, all delivered within six weeks without impacting SAP operations.

Solution: Unified SAP reporting through a governed Databricks Lakehouse

Our experts at zeb implemented an end-to-end lakehouse solution on Databricks to centralize SAP ECC data and support enterprise-ready analytics.

• SAP ECC Data Extraction & Integration Enablement

Designed and deployed incremental pipelines from SAP ECC through Azure Data Factory into Databricks for centralized processing.

• Lakehouse Warehouse with Multi-Layer Architecture

Established bronze, silver, and gold layers to manage raw ingestion, refined transformations, and analytics-ready curated outputs.

• Comprehensive Evaluation & Blueprint Definition

Delivered an Assessment Report outlining the existing data ecosystem and recommendations for target-state architecture, scalability, and governance.

• Governed Access for Analytics Consumption

Implemented Unity Catalog to standardize access controls, quality checks, and lineage across data products, and configured a Genie Workspace for BI and reporting usage.

Benefits: 60% faster data extraction & higher processing efficiency for a scalable SAP analytics foundation

• Unified Source of Truth Across SAP Workloads: Databricks now centralizes enterprise SAP ECC data to power operational and reporting needs.
• Reduced Time to Insight for Analysts & Business Users: With curated datasets and the Genie Workspace, manual SAP exports were eliminated, helping analysts achieve 60% faster data extraction and significantly accelerate dashboard development cycles.
• Built for Future Expansion: The Lakehouse architecture, optimized pipelines, and governance patterns deliver 45% improved processing efficiency and can be seamlessly extended to additional SAP modules and external data sources with minimal rework.

Ready to modernize SAP analytics with Databricks?

As a trusted Databricks partner, zeb enables enterprises to convert SAP data into governed, analytics-ready datasets by leveraging the Databricks Lakehouse, ADF-driven automation, and scalable governance frameworks that support long-term data growth.

Let’s build your SAP lakehouse foundation the right way, fast, secure, and future-ready.