Case studies

Cost & cycle time

Hours out of the process, permanently.

BI & Analytics Platform to Improve ADY% and Reduce Scrap in Telecom Manufacturing

To minimize scrap (initially at 21%) and enhance ADY% (production efficiency initially at 79%) using a consolidated BI & analytics platform with integrated ML models, real-time reporting, and on-demand data availability.

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Pharma & Life Sciences

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Automated Placeholder Document Creation for Digitization of Pharma Templates

To automate and digitize the process of updating medicine preparation templates by replacing placeholder text with meaningful chemical and process information—eliminating manual effort, reducing human error, and speeding up processing across large volumes of documents.

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Pharma & Life Sciences

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AWS-Based Data Lake and PostgreSQL Migration for Analytics Modernization in Pharma

To reduce total cost of ownership (TCO), improve scalability and performance, and modernize the analytics environment by migrating from Oracle EDW to a cloud-based PostgreSQL platform with enterprise-grade open-source tools and AWS infrastructure.

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Pharma & Life Sciences

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Enterprise Data Lake Implementation on AWS for Cost Reduction and Analytics Enablement

To reduce system stack costs, enhance business productivity, and prepare for AI/ML readiness by building a distributed, open-source-based enterprise data lake architecture on AWS capable of handling both structured and unstructured data.

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Pharma & Life Sciences

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High-Performance Data Migration to Spark Platform for Large-Scale Pharmacy Data Processing

To accelerate large-scale pharmacy and supplier data processing, reduce infrastructure cost, and ensure scalable, future-ready analytics capability for high-volume datasets.

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Retail

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Automated Customer Complaint Tracking System

Support teams capture, classify, route and escalate complaints through a React and PostgreSQL application with Power BI reporting.

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