Automating Qlik-to-Databricks Migration with Real-Time Insights

Client Overview

A leading U.S.-based firm specializing in competitive intelligence and digital user experience research for financial institutions needed to transition from Qlik to a more scalable platform. With growing volumes of data and increasingly complex reporting needs, the organization aimed to modernize its infrastructure without compromising operational continuity or data accuracy.

Problem Statement

The firm faced several operational challenges:

• Manual onboarding of historical and live data was slow and inefficient.
• Complex validation processes caused frequent errors and lowered confidence in data quality.
• Lack of real-time visibility across Qlik and servicer systems restricted oversight and responsiveness.
• Managing multiple datasets, spanning loans and securities- demanded a more automated, unified solution.
  These issues hindered both internal productivity and service delivery.

Solution Provided

Decimal Point Analytics implemented a comprehensive migration strategy leveraging Databricks unified analytics platform. Key components included:

• Automation of data ingestion and validation using Python and PySpark to eliminate manual errors.
• Real-time monitoring across 26 mission-critical workflows to ensure full process visibility.
• Seamless integration of daily data updates and merging of historical records for consistency.
• 24/7 operational support to ensure continuous availability and performance during the transition.

The approach provided an end-to-end framework for clean, timely, and scalable data delivery.

Outcome

The engagement delivered measurable results:

• Reduced data onboarding time, accelerating access to insights.
• Improved data integrity, enhancing trust and decision-making accuracy.
• 24/7 process monitoring, enabling proactive intervention and fewer disruptions.
• Lowered operational costs by removing manual dependencies and inefficiencies.
• Established a scalable analytics foundation to support future growth initiatives.

Key Takeaway

For data-intensive organizations, automating migration workflows and embedding real-time visibility can drastically improve efficiency, scalability, and decision readiness.

Is your organization planning a data platform transformation?

Connect with Decimal Point Analytics to explore how automation and 24/7 monitoring can power your next migration.