QlikView to SQL and Tableau Migration

Client Needs

1. Modernize BI Landscape: Transition from legacy QlikView to a scalable, user-friendly, and interactive BI platform like Tableau.

2. Streamline Data Processes: Replace complex QVD/QVW file management and load scripting with SQL-based ETL workflows.

3. Deliver Interactive Dashboards: Empower users with intuitive, dynamic, and self-service dashboards for faster decision-making.

4. Enable Scalable Cloud Reporting: Shift from desktop/server-based dependency to centralized, cloud-hosted dashboards.

5. Reduce Operational Overhead: Simplify maintenance and improve usability with automated data preparation and sharing.

6. Support Real-Time Access: Establish direct connections to SAP, Excel, and other enterprise systems for faster, reliable analytics.

Challenges

• Scalability Gaps: QlikView struggled to keep pace with growing analytics demands.

• Complex Backend: High reliance on QVD/QVW files and scripting created bottlenecks.

• Deployment Issues: Required heavy desktop/server installations with ongoing maintenance.

• User Limitations: Dashboards offered limited interactivity and outdated visual design.

• Fragmented Systems: Disconnected architecture complicated reporting and data access.

Solutions

• BI Modernization: Migrated from QlikView to Tableau, enabling self-service analytics.

• Simplified ETL: Leveraged SQL views and Tableau Prep to streamline data transformations.

• Code Conversion: Translated Qlik scripts into SQL logic and Tableau calculations.

• Centralized Dashboarding: Deployed dashboards on Tableau Server/Cloud for enterprise-wide access.

• Direct Connectivity: Transitioned from file-based reporting to live database connections and Tableau extracts.

Architecture Overview

• Data Sources: SAP, Excel, and other enterprise data repositories.

• Data Processing:

  • Replaced Qlik load scripts with SQL procedures and views.

  • Converted Qlik expressions into SQL and Tableau logic.

• Visualization:

  • Developed interactive Tableau dashboards with dynamic KPIs.

  • Improved navigation, filters, and drill-down interactivity.

• Deployment:

  • Hosted via Tableau Server/Cloud for secure and centralized reporting.

Outcomes

1. Simplified Architecture: Eliminated QlikView complexities with a SQL + Tableau framework.

2. Enhanced User Experience: Delivered highly interactive, modern dashboards.

3. Centralized Access: Cloud-enabled access for stakeholders anytime, anywhere.

4. Lower Maintenance: Reduced reliance on file structures and desktop/server setups.

5. Advanced Analytics: Improved scalability, flexibility, and decision-making power.