Data Foundation & Analytics Modernization

Financial institutions are building modern data foundations to support faster reporting, stronger governance, better operational visibility, and more advanced analytics. As banking operations become more digital and data-intensive, the goal is to create a trusted environment where data can be securely ingested, governed, transformed, shared, and consumed across business, risk, compliance, operations, and technology teams.

Pragma’s Data Foundation & Analytics Modernization service helps banks and financial services organizations assess, design, and implement modern data platforms on AWS. We work with business, data, technology, risk, compliance, and analytics teams to understand the current data landscape, identify modernization priorities, and define a practical roadmap for scalable data architecture, governance, quality, integration, and analytics enablement.

Our approach begins with a focused assessment of the current data environment, including legacy data warehouses, data lakes, ETL processes, reporting models, source systems, governance practices, security controls, and analytics use cases. From there, we define a target architecture and implementation path that can support data lakehouse patterns, curated data products, business intelligence, customer 360 views, regulatory reporting, and AI-ready data foundations.

Depending on the client’s needs, Pragma can support:

*Data platform and analytics modernization assessment

*Legacy data warehouse modernization strategy

*Data lakehouse architecture design and implementation

*Data ingestion, ETL/ELT, orchestration, and pipeline automation

*Data governance, metadata management, quality, lineage, and access control

*Design of curated data marts and analytics consumption layers

*Customer 360 and operational reporting foundations

*Monitoring, auditing, cost visibility, and operational controls for data platforms

Pragma leverages AWS services and architecture patterns such as Amazon S3, Amazon Redshift Serverless, AWS Glue, AWS Glue Data Catalog, Amazon Athena, AWS Lake Formation, AWS DataSync, AWS Database Migration Service, AWS Lambda, AWS Step Functions, Amazon EventBridge, AWS KMS, AWS IAM, AWS PrivateLink, Amazon CloudWatch, AWS CloudTrail, AWS Trusted Advisor, and integration with business intelligence tools such as Tableau, depending on the client’s environment and target use cases.

This offering is also aligned with Pragma’s Decision Intelligence perspective, which emphasizes the need to connect enterprise data, risk signals, operational workflows, and decision logic to enable faster and more consistent decisions across banking operations. A strong data foundation is the starting point for turning fragmented information into trusted analytics, real-time visibility, and intelligent action at scale.

The outcome is a governed, scalable, and analytics-ready data environment that helps financial institutions improve trust in data, reduce manual reporting effort, accelerate analytical use cases, strengthen compliance visibility, and prepare the organization for advanced AI and real-time decisioning initiatives.