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AI-Powered Cloud-Based Platform for Business Analyst Data Visualization and Report Generation

alltegrio.com

Telecommunications

Information technology

Cloud Computing

Business Challenges in Data Analysis and Reporting

Business Analysts face inefficiencies due to heavy reliance on IT departments for data querying, visualization generation, and database management. This creates bottlenecks in decision-making processes and diverts IT resources from strategic initiatives.

About the Client

Leading telecommunications company providing network services and solutions

Key Project Goals

Enable Business Analysts to independently access and visualize data
Reduce IT department workload through automated query execution
Improve decision-making speed via real-time data insights
Ensure up-to-date information retrieval through automated schema updates

Core System Functionalities

Natural language processing for SQL query generation (supporting MS SQL, PostgreSQL, AWS Redshift, MongoDB)
Automated Python code generation for data visualization
Integration with Slack and cloud deployment (AWS/Azure)
VectorDB-stored SQL DDL schema recognition
Self-correcting Python pipeline for schema updates

Technology Stack

AWS

Langchain

GPT-3/4

Pinecone

Plotly

Python

PyTorch

System Integrations

Slack
AWS Redshift
MongoDB
Cloud deployment platforms (AWS/Azure)

Non-Functional Requirements

High scalability for concurrent user support
Real-time data processing capabilities
Enterprise-grade security for data protection
99.9% system uptime SLA

Expected Business Impact

Anticipated outcomes include 0% data retrieval time reduction, 0% IT resource reallocation to strategic projects, and significant reduction in manual content research efforts through automated visualization generation and schema maintenance.