Overview
Capabilities
Challenge
Addressing Operational Inefficiencies and Lack of Structured Data Support Model
- Inefficiencies in data operations due to absence of dedicated support
- Ineffective support model from incumbent vendor
- Unresolved technical backlogs impacting operations
- Inconsistent service quality across data ecosystem
- Operational delays affecting business outcomes
- Lack of structured managed services approach
- Challenges in maintaining platform stability
- Difficulty in prioritizing enhancements and driving efficiency
Solution
End-to-End Managed Services Transition with Enhanced Monitoring and Optimization
Coforge successfully transitioned the entire managed services for the enterprise data platform and implemented key enhancements:
- Established a dedicated transition team to ensure smooth onboarding and continuity
- Identified system pain points and bugs through expert SME analysis
- Implemented enhanced monitoring for dashboards, data loads, data warehouse, and BI servers
- Optimized data load processes using Informatica IDMC to improve performance and efficiency
Tools & Technology
Informatica Axon, Informatica IDMC, Azure components, snowflake, SQL Server, Power BI.
20% SLA improvement| Increased Productivity
Impact
- Unified platform management through a dedicated support team
- Achieved SLA-driven managed services with 20% efficiency improvement
- Enhanced process execution reducing operational inefficiencies
- Achieved 98% turnaround time (TAT) adherence