Technology
AI-Powered Data Discovery
Client
Leading Business Data & Analytics Firm
Industry
Data Analysis
Services
Data Democratization
Duration
Enterprise Grade
Executive Summary
Engineering resilience through Leading Business Data & Analytics Firm's transformation.
The client wanted to enable non-technical users to interact with SQL databases using natural language, facilitating easy Exploratory Data Analysis (EDA) and data-driven Q&A. CleaLeaff developed a web-based application using Streamlit and LIDA for visualization.
Democratizing Data Access
- Enable natural language interaction with SQL databases.
- Facilitate efficient Exploratory Data Analysis (EDA).
- Automate generation of visual insights from queries.
- Ensure reliable data retrieval and visualization.
Natural Language Interface
- Developed web-based application using Streamlit.
- Integrated LLMs to convert natural language to SQL.
- Used LIDA for automated visualization and summary generation.
- Supported both MySQL and PostgreSQL databases.
Measurable Outcomes
Measurable Impact
90%
SQL Expertise Reliance Drop
85%
Faster Data Exploration
100%
Visual Insights Automated
Data Discovery for Everyone
The solution empowered users to perform complex data analysis without requiring SQL expertise, resulting in a 90% reduction in reliance on manual SQL and an 85% improvement in exploration speed.
Technical Stack
StreamlitLIDALLMsMySQLPostgreSQLMatplotlibPandas
Core Disciplines
Data DiscoverySQL AutomationEDA
