How Elastik Teams Streamlined Cross-System Reporting with Azure Data Solutions
The Problem: Fragmented Data & Reporting Challenges
The client struggled with:
- Disconnected data systems: Critical information was scattered across multiple platforms, making unified reporting impossible.
- Complex migrations: Onboarding new systems risked costly and time-consuming data conversion projects.
- Limited insights: Business decisions were delayed due to the inability to analyze cross-system data efficiently.
“We needed a centralized data solution that could integrate seamlessly with our existing tools while simplifying future migrations.” — Client Team*
Our Solution
Elastik Teams partnered with MemberJunction to implement a scalable data integration framework using Microsoft Azure.
Key Features Delivered:
✔ Automated Data Ingestion: Azure Data Factory (ADF) pipelines streamlined migration from non-Azure SQL to Azure SQL.
✔ Configuration-Based Architecture: Reduced manual coding with reusable, parameterized pipelines.
✔ Secure & Credential-Less Pipelines: Enhanced security via Azure Virtual Machines and PowerShell automation.
✔ CI/CD Implementation: GitHub Actions enabled seamless deployment and updates.
✔ Advanced Reporting Enablement: Integrated with ReportBoat and Skip for unified search and analytics.
Innovation Highlights:
- SFTP Automation: Eliminated manual file transfers via ADF’s SFTP activity.
- Batch Processing & Pagination: Improved performance for large datasets.
- Child Pipelines for Key Data: Ensured priority data flows were isolated and optimized.
Results & Impact
Phase I Outcomes (Project Ongoing):
- ✅ Centralized Data Access: All critical data is now available in a single location for analysis.
- ✅ Enhanced Reporting: Users can query cross-system data efficiently using Skip and ReportBoat.
- ✅ Future-Proof Scalability: The modular design simplifies future integrations and migrations.
Why This Matters for Your Business
This project demonstrates Elastik Teams’ expertise in:
🔗 Modern Data Engineering: Building secure, scalable pipelines with Azure.
🤖 Automation: Reducing manual effort and errors in data migration.
📊 Actionable Insights: Enabling real-time reporting for strategic decisions.
Phase I has laid the foundation for data-driven decision-making. We’re already seeing improved efficiency in cross-system reporting
– Client Feedback
