Solutions
Modernization
Data Stack Modernization

Modernize Your Data Stack for Scalable Innovation

Eliminate technical debt and slash operating costs by transitioning legacy reporting stacks to modern cloud environments. Accelerate your migration to a scalable, AI-ready data foundation leveraging our specialized autonomous AI agents.

Unlock Greater Value from Your Data

Featured Case Study

30% Faster BI Migration to Microsoft Fabric for Chemical Enterprise

Learn how an enterprise BI stack was modernized by migrating from Domo to Microsoft Fabric and Power BI, leveraging the proprietary QShift accelerator with automated conversion and confidence-based human validation.

Read Case Study

Accelerating Enterprise BI Migration_ Domo to Microsoft Fabric

Expertise Across the Data Modernization Journey

Data Platform Modernization

Transform legacy environments with scalable, cloud-ready architectures powered by platforms such as Microsoft Fabric and Databricks. Apply reusable frameworks and proven modernization patterns to unify data and build a flexible foundation for advanced analytics and AI.

Automated Data Migration

Fast-track data transfers with AI-powered schema translation, automated validation, and metadata lineage tracking to reduce manual intervention, improve accuracy, and manage complex transitions with confidence.

BI Modernization

Seamlessly migrate from legacy systems (Domo, Tableau) to modern platforms (Power BI, Looker, Apache Superset). Deploy autonomous migration agents to convert dashboards, calculations, visual layouts, and access controls with minimal operational disruption.

DataOps & FinOps Optimization

Strengthen day-to-day platform operations with managed DataOps and FinOps capabilities covering active monitoring, governance, performance management, right-sizing, and ongoing cost control.

Multi-Cloud Engineering

Design and implement resilient data platforms across AWS, Azure, and GCP to support integrated workloads, improve flexibility, and eliminate single-vendor lock-in.

Quantifiable Modernization Outcomes

40% Lower Costs

Optimize infrastructure and analytical workloads continuously to eliminate unnecessary spend and maximize cloud resource efficiency.

30% Faster Modernization

Accelerate migration with pre-built architectures, reusable patterns, and AI-driven automation to shorten implementation timelines.

40% Less Manual Effort

Automate data validation, lineage tracking, schema translation, and quality checks—freeing engineering teams for higher-value initiatives.

Accelerators

Transform your data modernization initiatives with accelerators that reduce implementation complexity, improve delivery efficiency, and help you realize business value faster.

1/4

QShift

An AI-driven translation engine that accelerates the migration of costly data platforms like Teradata or legacy Hadoop. QShift automates the semantic conversion of complex SQL, legacy ETL pipelines, and BI visualizations into native cloud data architectures like Snowflake, Databricks, or Microsoft Fabric.

High AI-Qatalyst Framework

Converge Data Platform

QubeViz

Insights

Explore expert insights, emerging trends, and practical strategies for modernizing data platforms and building AI-ready foundations.

Case Study

60% Faster Analytics for U.S. Hospital Chain

Discover how an academic medical center cut report latency from 45 minutes to under 5 minutes and increased productivity.

Case Study

Slashing Retail Data Overhead with Databricks Lake

A top American closeout retailer consolidated legacy enterprise systems into a Databricks data lake, enabling real-time analytics with 40% less manual effort.

Blog

Accelerate AI Readiness Through Data Modernization

Utilizing Infrastructure as Code (IaC) and prebuilt deployment templates, organizations can bypass manual pipeline reconstruction.

White Paper

A Strategic Guide to Data Modernization

Discover a step-by-step framework for modernizing legacy data systems, from initial platform assessment to iterative migration.