CaseStudy
Infrastructure Migration from On-Premise to Cloud with Enhanced Analytics Pipeline
Introduction
A major organization successfully transitioned its digital infrastructure from on-premise to Azure Cloud.
Cloud Transformation with AI-Powered Analytics and Real-Time Data Interaction
Technology
Migrated applications, databases, and storage to Azure while ensuring data integrity and minimal downtime.
Redesigned analytics architecture using Snowflake and PowerBI for high-speed data processing and reporting.
Built using Haystack and a large language model to allow real-time, context-aware querying of business data.
Integrated new tools into daily workflows and trained staff to optimize usage of cloud and AI systems.
Solutions
Azure Services | Description:Used for compute (VM), storage, and database hosting in a scalable and cost-effective manner. |
Snowflake | Description:Served as the modern cloud data warehouse supporting scalable analytics across departments. |
PowerBI | Description:Provided real-time dashboards and interactive visualizations to inform business decisions. |
Haystack and LLM | Description:Powered the intelligent Q&A system to deliver fast and relevant responses to user queries. |
Impact and Results
Improved Data Processing Speed
Increased Operational Efficiency
Enhanced Data Visualization
Advanced Query Handling
Scalability and Flexibility
By migrating to Azure, redesigning its analytics pipeline, and implementing a custom AI-powered Q&A system, the company streamlined data workflows, improved uptime, and empowered its workforce with faster, smarter decision-making tools.
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