Financial Services
Deliver an enhanced digital customer experience and reduce operational costs with modern data and analytics solutions
Innovative Solutions to Financial Services Challenges
With growing pressure from fintech startups and rapidly changing market conditions, today’s financial services enterprises strive to adopt a digital-first mindset focused on cloud transformation to become more agile in delivering products at an accelerated pace. With a rich heritage of working with top banking and financial services companies going back to early days of data warehousing and business intelligence, Bitwise plays an instrumental role in helping our customers modernize data and analytics in the cloud with emphasis on data governance to meet strict regulation compliance and establishing advanced analytics competency leveraging artificial intelligence and machine learning.
Financial Services Solutions
Data Warehouse Modernization
Migrate legacy ETL and data to the cloud to efficiently ingest, process and analyze a wide variety of data sets
Application Modernization
Deconstruct monolithic financial applications into microservices and API architectures re-imagined on the cloud to deliver with speed and agility
Customer Analytics
Range of solutions from Customer 360 to Churn Analysis to drive revenue growth through digital engagement
Conversational UI
Leverage voice-based analytics for enhanced user experience in customer support and accessing account information or making banking appointments
Mobile Apps
Development and testing solutions to ensure world-class digital customer experiences
40% Reduction in Data Warehouse Support Costs
Consolidated Support of 16,000+ Ab Initio jobs covering all Lines of Business including Campaigns, Payments, Banking and Rewards through optimized resource model
On-Demand Webinar
Modernizing Data Architecture in Financial Services with AWS Glue
Duration: 20 Minutes
Watch this on-demand webinar with AWS and Bitwise to learn how to accelerate the migration of legacy ETL to AWS Glue Studio and build a modern data architecture that meets Financial Services objectives.
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