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Enabling AI-Driven Solution on a Unified Data Lake for a Leading Global Credit Rating Agency
Problem Statement
A leading global credit rating agency needed to modernize how Finance, HR, Risk, and IT teams accessed and used enterprise data.
Reporting and analytics were dependent on fragmented, IT-mediated processes, and there was no centralized data foundation to support advanced analytics, model development, or Gen AI-driven reporting across the organization.
Challenges
Restricted data access
Business teams lacked direct access to data needed for analysis and model development, slowing decision-making.
Cloud-agnostic requirements
The data lake architecture had to be designed to work seamlessly across cloud environments, avoiding vendor lock-in while supporting enterprise scale.
Slow time to market
Every data request had to be routed through IT, creating bottlenecks and extending delivery timelines for even routine reporting needs.
Elevated operational risk
With no central repository for reports, model code, and business logic, the organization faced inconsistency, duplication, and governance gaps across divisions.
Solution
Stratacent designed and delivered a centralized, consolidated data lake spanning Finance, HR, Risk, and IT, built on a cloud-agnostic architecture to ensure long-term flexibility and scalability. On top of this foundation, the team implemented Gen AI-driven reporting using Microsoft Fabric and Copilot, enabling business users to interact with data and generate insights without depending on IT for every request.
The solution was engineered with enterprise governance in mind, aligning to organizational controls for promoting data products into production, and establishing a single source of data for reports, & business logic across divisions. A combined delivery team of 25 resources, spanning the US and India, executed the engagement to ensure round-the-clock delivery velocity and close collaboration with business stakeholders.
Value Delivered
Near real-time reporting
Enabled data flow from transactional systems directly into Power BI, replacing slower, batch-driven reporting cycles.
Data democratization
Gave business teams direct access to raw data, reducing dependency on IT and accelerating analysis and model development.
Reduced business risk
Real-time data access strengthened the accuracy and timeliness of inputs feeding into ratings scoring processes.
Stronger governance
Ensured full conformance with ITGC controls for promoting data products to production, reducing compliance and audit risk.
Global delivery at scale
Delivered through a 25-person team operating across the US and India.
Measurable financial impact
Achieved approximately USD 4M per annum in efficiency savings, with an additional USD 8M in unrealized savings from risk reduction.
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