A Fortune 500 commercial lines property and casualty insurance holding company had 5 subsidiaries and each of them had a different technology landscape which resulted in maintenance challenges and hindered the capability of application rationalization for eventual migration to the cloud
UK based home emergency repairs business needed a solution for quickly converting PL/SQL packages…
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.
An American ticketing company that sells movie tickets via their website as well as through their mobile app required a solution to migrate its Tableau reporting to Looker.
A Global Research and Advisory Company is in a journey to migrate data from on-premise applications to Azure to maintain and enhance its EDW, reporting and analytics applications in order to provide accurate and timely data to users and ensure data availability for Reporting and BI functions.
An American company that franchises and operates a chain of restaurants needed to migrate their on-premise Data Warehouse (Teradata Database) to AWS Cloud Infrastructure (Redshift Database)
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.
Bitwise contributed to a Fortune 500 financial services company by building an enterprise-wide application which automates document approval or campaign management using SharePoint. The automated approval system maintains more consistency, reduces backlogs, and streamlines the approval and control process.
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.
A $100B NYSE listed retail company needed a data management architecture and platform to help them to scale out in support of expansion plans and revenue goals of the business.
