A major life insurance provider in the Midwest (US) was facing various challenges in managing and monitoring the different data handling processes, and other activities and in maintaining their legacy applications and systems. The major challenges that the organization was facing with the current system were:
Nuvento implemented an end-to-end engagement with data warehousing solutions and offshore dedicated support teams that included 4 stages – discovery, development, ongoing support, and maintenance. The activities ran 24 hours, so we set up dedicated teams to monitor 24×7 and provide timely support. We managed the data warehousing activities outside business hours thereby ensuring smooth business. We also set up different teams to manage their middle and back-end operations and ensure timely actions are taken.
Dedicated support teams
Nuvento’s offshore dedicated teams provide 24×7 support. We use VMware tools to ensure internal systems are connected securely. Implemented an efficient ticket management system to track and resolve any support requests.
The monitoring teams are set up for server monitoring, database monitoring, Informatica, application support, and ensure the timely completion of processes that requires manual intervention.
Built a new data warehouse for consolidating data and SSAS Cubes to meet hierarchy challenges We developed SSRS reports for faster response and implemented Informatica Cloud / SSIS ETL solutions
Dedicated data team
SSIS, SSRS, and SSAS teams are set up for monitoring and managing ETL data flows.
Alerts and actions
24×7 monitoring and alerts implemented to ensure timely support in case of incidents, decrease server downtime, and ensure that activities are running smoothly.
Conducts impact analysis when changes are required. Facilitate a smooth and successful change by developing the change, deploying, and testing securely.
Helped develop file processing applications and agent data web applications and provided subsequent support.
End-to-end data management
Redefined the workflow process and implemented proprietary tools to manage workflows. Monitor and manage data management platforms, ETL tools, and processes to ensure smooth end-to-end data management.
Migration and modernization
Facilitated all backend system and application migration and modernization activities like Windows server migration, SQL server updates, and database migration
Performance tuning and troubleshooting
Performed sanity checks and health checks. Monitored the memory and CPU usage. Fine-tuning for optimal performance.
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