Case Study - Cloud and Data Modernization for a Leading Indian Logistics Enterprise

When Data Grew Faster Than Control

A leading Indian logistics group with operations across ports and supply chains was experiencing data overload. Multiple teams maintained their own cloud instances, reports varied across business units, and cloud spend was rising unpredictably.

Decision-makers lacked a unified view of logistics performance. Delays in reporting and inconsistent data quality made it difficult to identify operational issues quickly.

Objective:

To unify data management, improve cost visibility, and enable analytics-driven decision-making through better cloud governance and metadata standardization.

WhiteBlue’s Approach and Solution Design

WhiteBlue designed a multi-cloud modernization framework across AWS, GCP, and Power BI, focusing on three key areas:

AWS Cloud Optimization: Conducted a usage and cost audit using the WhiteBlue C3 Consulting Framework. Standard operating procedures were introduced for provisioning and cost management, reducing waste and improving cloud visibility.

Data Cataloging with GCP: Consolidated metadata from multiple teams using Google Cloud Data Catalog, allowing consistent tagging and easy discovery of data assets.

Operational Analytics: Created Power BI dashboards for real-time tracking of logistics KPIs, resource utilization, and port performance trends.

Together, these efforts reduced redundancy, controlled cloud spend, and created a single source of truth for business reporting.

Cloud and Data Modernization Implementation Journey

The rollout began with cloud cost audits and automation of cost alerts.

Once the cloud foundation stabilized, metadata was standardized and cataloged across systems.

Finally, analytics dashboards were deployed to leadership and operational teams, with training sessions to help users interpret and act on real-time data.

Each phase was validated before scaling to additional business units, ensuring adoption without disruption.

Results

• 35% reduction in overall cloud costs

• Centralized, searchable metadata repository

• 40% improvement in forecasting accuracy

• Faster access to unified, real-time reports

About WhiteBlue

WhiteBlue helps large enterprises optimize infrastructure, automate operations, and enable data-driven decision-making through modern cloud and analytics frameworks.

This engagement demonstrated how WhiteBlue’s cross-cloud approach supports complex, distributed organizations in improving governance and reducing spend.