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 leading worldwide provider of payment technology and software solutions needed to migrate its on-premise Control-M tool that was used to schedule ETL jobs to Google Cloud using Airflow service to reduce IT costs in accordance with its cloud adoption roadmap.
A major payment processing firm based out of USA wishes to build a cloud based big data strategy that the enterprise as well as external users can leverage to build better analytics and better business decisions. One of the key components and challenge in the build process was migration of on premise data to cloud.
Bitwise and Looker helped a US based global financial services company to drive reporting and visualization adoption across an extensive user base by providing a better user experience of its Business Intelligence application, resulting in increased global revenue and reduced costs as part of its enterprise cloud strategy.
A global payments processing company needed to modernize its credit card dispute management system by re-engineering in cloud to take advantage of latest technology capabilities, such as machine learning, for improved outcomes.
