A Fortune 500 Insurance company needed a solution to streamline downstream processes on claim platforms to improve employee productivity and increase margins. The solution needed to easily ingest, store, and analyze data from diverse sets of structured and unstructured data.
A Fortune 500 Insurance company needed a solution to modernize their legacy BI reports by migrating them to Power BI to enhance data visualization, improve accuracy, and provide additional insights required to support their operations.
A regional digital infrastructure provider needed to transform its analytics capabilities by implementing a comprehensive data platform and adopting a business intelligence process with intuitive dashboards and self-service BI.
As part of its cloud modernization strategy to transition critical on-premise SQL Server databases to the Microsoft Azure cloud, a data center solutions provider required a flexible, cost-effective solution for migrating its SQL Server DBs to Azure SQL Managed Instance (MI) with minimal downtime.
A multinational online shopping club that manufactures and distributes natural wellness products has a wide range of web-based ecommerce and user services built on different technologies. To drive business growth, the company needed to expand and modernize its ecommerce platform to mobile apps for better user engagement, ease of use and data analytics.
One of the largest student loan lenders in the U S needed to modernize its student loan system that involves the loan application, disbursement, collections and recovery process to introduce new functionality and improve accuracy to build better analytics and make better business decisions.
One of the largest credit card brands in the U S needed to optimize its legacy Rewards system by migrating from mainframe to Ab Initio in order to make Rewards points calculations and redemptions across multiple platforms. As part of the project, the customer required efficient application support, storage and backup support, and code-artifact management
A $100B NYSE listed retail company required a data reliability engineering team to help them stabilize the ETL system by reducing issues and getting complete control of end-to-end data flow in the system to improve time-to-repair and timely arrival of quality data.
A national used vehicle retailer needed to migrate its on-premise legacy Enterprise Data Warehouse built on Informatica and Teradata to the cloud in Azure Data Factory and Snowflake to leverage the advanced capabilities of the Azure ecosystem to enhance data integration, workflow orchestration and overall data management.
A provincial transportation ministry needed to migrate its existing data integration from Informatica to Azure Data Factory (ADF) and PL/SQL code to Synapse SQL to be able to leverage the advanced capabilities of the Azure ecosystem to enhance data integration, workflow orchestration and overall data management.
