A home security provider sought to modernize its legacy data warehouse and business intelligence ecosystem. The objective was to design scalable SQL-driven ETL pipelines using Airflow, build data models in AWS Redshift and enhance Tableau dashboards to deliver data-driven deeper insights.
A leading insurance provider needed a solution to automate data processing, apply business rules, and manage users within a Windows-based system. The objective was to modernize legacy components, streamline data operations, and improve overall system efficiency.
A leading non-banking financial services firm required skilled Snowflake and Talend professionals to support the modernization and ongoing operations of its enterprise data warehouse (EDW). The objective was to optimize ETL workflows and ensure compliance with regulatory standards.
A leading financial services company required a solution to enhance customer engagement for retention and acquisition with a goal to improve customer interactions, drive conversions, and foster long-term loyalty through personalized communication.
A Fortune 500 insurance company needed to modernize its ETL to create a unified data repository and support the legacy system during migration to achieve faster, more accurate analysis and support ongoing business needs throughout the transition.
A global Insurance holding company required a solution to enhance its existing insurance applications with new features for improved security and automated deployment process to optimize efficiency and streamline the user experience.
A global Insurance holding company required an automated solution that can integrate business logic from multiple applications, pull data from different sources, apply business rules for output data and send notifications to optimize efficiency and streamline the user experience.
A global multi-brand restaurant operator required consulting services to help setup a QA Testing process for its online platform with a framework to handle manual and automation testing of web and mobile applications.
A ‘Big Four’ global accounting organization required an efficient solution to migrate its on-premise legacy Enterprise Data Warehouse built on Informatica PowerCenter and SQL Server to Microsoft Fabric Pipeline, Fabric-PySpark Notebook and Azure SQL Managed Instance. The solution needed to leverage the advanced capabilities of the Microsoft Fabric ecosystem to enhance data integration and workflow orchestration.
One of the largest vertically integrated cannabis companies in US needed to build a modern data platform on the cloud with a centralized Enterprise Data Warehouse to provide accurate and timely data to users and ensure data availability for reporting and BI functions.
