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.
A Fortune 500 multinational department store corporation needed to modernize its legacy ETL platform to a cloud-based solution using Azure as the preferred cloud service provider and Azure Data Factory (ADF) as the cloud-native ETL tool.
A multinational pharmaceutical company responsible for collecting, labelling, shipping and result collection of test samples from various locations needed a system to bring everything under one digital solution that can automate the process of requesting a test and help to monitor and track the test request, as well as effectively notify on upcoming tasks where action is required.
To provide more efficient application maintenance and production support for a leading worldwide provider of payment technology and software solutions, Bitwise built a real-time alert and notification setup for critical jobs supported by error logs and relevant SOP details for speedy resolution of documented issues.
Bitwise used machine learning to help a leading payment technology and software solutions provider increase efficiency by accurately predicting daily ETA for critical applications to track daily loads and notify support team and stakeholders if there will be any delay in loads to take preventive and proactive actions.
A Canadian public research university, in a journey to modernize its legacy on-premise Netezza data warehouse on Azure, required a solution to efficiently migrate ETL developed in DataStage to Azure Data Factory (ADF) to reduce costs and enhance its EDW, reporting and analytics applications.
A hospital system required consulting services to identify the optimal toolset for its QA and Applications team to efficiently fulfill testing requirements across enterprise applications.
