Investors Careers Contact Us
Coforge
AI Capabilities + Industries + Resources + Who We Are +
Start the Conversation

Capabilities

Engineering Enterprise Platforms: Pega Data Enterprise Platforms: Appian Cloud Enterprise Platforms: Salesforce Quality Engineering Enterprise Platforms: ERP AI-Led Business Process Solutions Enterprise Platforms: MuleSoft Experience Global Capability Centers

Industries

See All
Banking & Financial Services
Insurance
Travel
Healthcare & Life Sciences
Public Sector
Hi-Tech
Telecom, Media, Automotive, and Energy
Retail, Consumer Packaged Goods (CPG), and Hospitality

Resources

Case Studies Conversation with Pathbreakers Blogs White Papers Tech PoV and Insights

Resources

Case Studies
Conversation with Pathbreakers
Blogs
White Papers
Tech PoV and Insights

Who We Are

About Us Newsroom Leadership Partners Locations Careers Awards & Recognitions ESG Learn more about Coforge
Coforge: Where AI engineering meets industry expertise.

Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.

Learn more about Coforge
Composable Enterprise

Main

AI

Industries

See All
Banking & Financial Services
Insurance
Travel
Healthcare & Life Sciences
Public Sector
Hi-Tech
Telecom, Media, Automotive, and Energy
Retail, Consumer Packaged Goods (CPG), and Hospitality

Capabilities

Engineering Enterprise Platforms: Pega Data Enterprise Platforms: Appian Cloud Enterprise Platforms: Salesforce Quality Engineering Enterprise Platforms: ERP AI-Led Business Process Solutions Enterprise Platforms: MuleSoft Experience Global Capability Centers

Who We Are

About Us Newsroom Leadership Partners Locations Careers Awards & Recognitions ESG Learn more about Coforge
Coforge: Where AI engineering meets industry expertise.

Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.

Learn more about Coforge
Composable Enterprise

Resources

Case Studies Conversation with Pathbreakers Blogs White Papers Tech PoV and Insights

Resources

Case Studies
Conversation with Pathbreakers
Blogs
White Papers
Tech PoV and Insights

CASE STUDY

Leading HR Platform Turned Fragmented Data into a Governed, AI-Ready Foundation on AWS

Industry

Human Resources / Business Services

Our Contributions

Cloud-Native Data Platform, AWS Lake Formation, EMR Serverless, Metadata-Driven Ingestion, Redshift Analytical Warehouse, Data Governance Automation

Location

United States

Leading_HR_Platform_Turned_Fragmented_Data_into_a_Governed_hero_image
A leading HR solutions provider serving small and medium-sized businesses across the United States offers a full-service platform spanning payroll, benefits administration, compliance, and workforce analytics. As the organization scaled, data from diverse processes and merged entities created an increasingly fragmented data estate. Inconsistent data flows, a legacy Informatica and Oracle stack, and an infrastructure that could not support AI/ML operationalization were limiting the organization's ability to scale and respond to business demands. They engaged Coforge to build a modern, cloud-native data platform on AWS.

Leading_HR_Platform_Turned_Fragmented_Data_into_a_Governed_challenge_Image

The Challenge

For an HR platform serving thousands of businesses, payroll accuracy, compliance reporting, and workforce analytics depend on timely, consistent data across every system. The organization's data infrastructure could not deliver this reliably.

 

Data originated from diverse processes and merged entities, each with unique ingestion patterns. Governance and integration grew more difficult with every new source added. The legacy stack, built on Informatica-based pipelines and Oracle DB implementations, had accumulated technical debt that limited agility and blocked modernization efforts.

 

Onboarding a new dataset or supporting a new business capability required a significant pipeline redesign, delaying responsiveness to evolving needs. Long data loading processes slowed dataset availability in Tableau, regularly missing reporting SLAs. The existing infrastructure could not support AI/ML model training or operationalization, restricting the organization's advanced analytics ambitions entirely.

Our Approach

Coforge designed and built a modern, cloud-native, metadata-driven data platform on AWS, replacing the legacy stack and consolidating the organization's fragmented data estate into a governed, scalable foundation.

Governed Three-Layer Data Lake

Coforge implemented a governed three-layer data lake using AWS Lake Formation, centralizing all data sources into a single, secure environment with role-based access controls, automated tagging, and policy-driven compliance. This replaced fragmented, source-specific data flows with a unified foundation for both operational reporting and advanced analytics.

Metadata-Driven Ingestion Framework

A metadata-driven framework was introduced that enabled business users to onboard new datasets and attributes directly through a front-end interface, without pipeline redesign. Metadata was stored in Aurora MySQL and dynamically applied by Airflow, which orchestrated all ingestion and transformation workflows in a consistent, automated manner.

High-Performance Processing and Analytical Warehouse

Coforge adopted EMR Serverless to accelerate large-scale data processing, reducing the cycle times that had delayed reporting and missed SLAs. An analytical warehouse was built in Redshift to serve curated, high-quality data for Tableau and Power BI dashboards, with raw and curated datasets in the data lake made accessible for AI/ML model training.

Governance Automation and Security

Coforge automated data governance through role-based access, tags, and policies across the platform, replacing manual reconciliation and oversight processes. This strengthened the organization's compliance and auditability posture while eliminating the recurring governance effort.

Leading_HR_Platform_Turned_Fragmented_Data_into_a_Governed_bottom_image

Impact to Date

70-75%

Automation of ingestion and transformation workflows

95%

Reduction in dataset onboarding effort

7x

Faster data processing cycle time

75%

Reduction in data quality errors

80 hrs

Saved per month on data governance

Business Impact

 

  • Ingestion and transformation workflows are now standardized and automated across all data sources, replacing the inconsistent, source-specific processes that had complicated governance and integration.
  • New dataset onboarding, previously a resource-intensive redesign exercise, is now configuration-driven through the metadata framework, cutting onboarding effort by 95%.
  • Data processing cycle time fell from 7 days to 1 day, ensuring datasets are available for operational and regulatory reporting within SLA.
  • Data quality error rates reduced by 75%, driven by a governed, centralized data environment that eliminated the fragmentation and manual reconciliation of the legacy setup.
  • Automated governance across role-based access, tags, and policies saves 80 hours per month in data governance overhead, while strengthening compliance and auditability.
  • Raw and curated datasets in the data lake are now accessible for AI/ML model training, enabling the advanced analytics capabilities that the legacy infrastructure had made impossible.

The organization now operates a data platform that matches the scale and complexity of the business it supports. From legacy stack replacement to governance automation to AI/ML enablement, Coforge delivered a complete transformation of the data estate, underpinned by deep AWS expertise and a clear understanding of what enterprise HR operations demand from their data infrastructure.