HR Data Mart Modernization Using Azure: Scalable Workforce Analytics for a Global F&B Leader

HR Data Mart Modernization Using Azure: Scalable Workforce Analytics for a Global F&B Leader

Industry

CPG

Business Function

HR Analytics

Capability

Data Science, Data Engineering, Business Intelligence

Tech Stack

Azure Databricks | Delta Lake | Azure Data Factory | Power BI

Key Highlights: What This Case Study Covers

  • Migration from manual Power BI Data Marts to a scalable Azure-based solution
  • Automated transformations with PySpark/SQL within Databricks, orchestrated through Azure Data Factory
  • Standardized data security and governance with PII encryption and CI/CD integration
  • Centralized Data Marts delivering seamless Power BI integration for HR reporting

Client Overview

A global leader in the Food & Beverage industry who has a strong focus on using data to enhance workforce productivity and decision-making. As the organization’s data footprint expanded, they needed to modernize its HR analytics landscape and shift from manual Power BI processes to a scalable, automated platform on Azure.

The Ask

The client engaged Tiger Analytics to build a scalable, automated Azure-based Analytics Data Lake solution to replace manual Power BI Data Marts, ensuring standardized data transformations, seamless integration of HR data sources, and secure handling of PII.

Challenges

  • Limited Scalability: Manual Power BI setups couldn’t efficiently process expanding HR data volumes.
  • Fragmented Data Sources: Multiple HR systems generated data in varying formats, requiring seamless integration.
  • Inconsistent Transformations: Manual Power Query scripts lacked standardization, impacting reporting accuracy.
  • PII Governance Gaps: Sensitive employee data needed robust encryption and access control.

Our Solution: Enterprise Data Platform on GCP

Cloud-Native Migration:

Migrated HR Data Marts to Azure Databricks and Delta Lake, enabling scalable storage and faster cloud-native processing while laying the foundation for long-term analytics growth.

Automated Transformation Pipelines:

Replaced manual Power Query scripts with PySpark and SQL workflows in Databricks, orchestrated through Azure Data Factory. This ensured standardized, incremental, and automated data refreshes.

Enhanced Data Security & Governance:

Embedded PII encryption and unified governance controls within the platform, ensuring compliance and secure HR data management.

Integrated DevOps & Reporting:

Implemented CI/CD pipelines using GitHub and Azure Repos for streamlined deployment. Power BI was securely connected to centralized Data Marts, enabling consistent and reliable HR analytics.

Impact Delivered

  • Achieved scalability through cloud-native migration, enabling HR Data Marts to handle larger data volumes with speed and reliability.
  • Reinforced compliance by embedding PII encryption and enforcing strict access governance.
  • Accelerated insights through centralized, automated Data Marts powering timely, accurate HR analytics in Power BI.
  • Enhanced operational efficiency with automated data pipelines that minimized manual effort and shortened reporting cycles.

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