Success Story

Modernizing Enterprise Data Infrastructure

How a leading global enterprise migrated from SAP data silos to a unified Azure Databricks platform, achieving 60% cost reduction and 10x faster analytics.

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The Challenge

Enterprise data was fragmented, reports took weeks to generate, and infrastructure costs were skyrocketing

Performance

Monthly financial reports took 2-3 weeks to generate with manual processes

Data Silos

Critical business data fragmented across multiple SAP instances and legacy systems

Scalability

Infrastructure unable to handle growing data volumes and concurrent user queries

Cost

Legacy systems consumed 40% of IT budget while delivering limited insights

Business Impact


• Delayed time-to-insight: 21-day report cycles preventing agile decision-making
• Limited analytics capability: Business users had no self-service access to data
• High operational costs: Manual processes and redundant infrastructure
• Compliance risks: Data quality issues across fragmented systems

Our Solution

A comprehensive approach to modernize data infrastructure and unlock business value

Unified Data Platform

Consolidated SAP data into Azure Databricks lakehouse, eliminating silos

Real-time Analytics

Implemented streaming pipelines for live business metrics and dashboards

Self-Service Analytics

Enabled business users with governed access to explore data independently

Automated Reporting

Reduced manual processes from 3 weeks to real-time automated report generation

Assessment & Planning

• Data audit across all SAP systems
• Architecture design & proof of concept
• Risk assessment & mitigation planning

Migration & Integration

• Build Databricks lakehouse
• Implement ETL pipelines
• Data validation & reconciliation

Optimization & Adoption

• Performance tuning & scaling
• User training & enablement
• Ongoing support & optimization

Technology Stack

A comprehensive approach to modernize data infrastructure and unlock business value

Cloud Platform


Azure
Cloud infrastructure
Azure Data Lake
Storage service

Innovative Solutions


Azure Data Factory
ETL orchestration
Databricks
Lakehouse platform

Data Processing


Apache Spark
Distributed computing
Delta Lake
ACID transactions

Analytics & BI


Power BI
Business intelligence
Python/R
Data science

Governance


Unity Catalog
Metadata management
Entra ID
Identity & access

Monitoring


Azure Monitor
Infrastructure monitoring
Databricks Alerts
Pipeline monitoring

Why This Stack?


Scalability
Handles petabyte-scale data with automatic scaling and distributed processing

Integration
Deep Azure ecosystem integration for streamlined deployment and management

Cost Efficiency
Pay-per-use model and automated resource optimization reduce TCO

Implementation Timeline

Executed over 12 months with careful planning and risk management

Discovery & Planning

Comprehensive data audit, architecture design, stakeholder alignment

Proof of Concept

Build POC with sample SAP data, validate approach, risk mitigation

Production Migration

Build Databricks lakehouse, ETL pipeline development, data migration

Validation & Testing

Data reconciliation, performance testing, security validation

Go-Live

Production launch with parallel run, cutover to new platform

Optimization & Handoff

Performance tuning, user training, operational readiness

Outcomes & Results

Quantifiable business impact achieved within one year of implementation

Infrastructure Cost Reduction
0 %
Faster Analytics
0 X
System Uptime
0 %

"The migration to Databricks has transformed how we leverage data across the organization. We've cut infrastructure costs dramatically, moved from monthly reports to real-time insights, and empowered 500+ users with self-service analytics. It's been a game-changer for our business."

Ready to Start Your Data Transformation Journey?

Speak with our experts to discuss your requirements and receive a customized quote.

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