GEN AI-BASED IMPROVED END-TO-END DATA ANALYTICS TOOL

A generative artificial intelligence-based system and method for providing an improved end-to-end data analytics tool is provided. Data from input unit(s) associated with multiple data sources located at disparate locations is collected. A data quality assessment is performed based on one or more pre-determined criteria. Transformed version of the collected data is processed for analyzing one or more data parameters associated with the transformed data to determine relationships and patterns within the transformed data. Prompts are generated related to operational issues associated with the specific domain. The prompts are provided to Large Language Models (LLMs) as input for generating diagnostic data and insights related to the operational issues. An optimized value of one or more modifiable prompt parameters associated with the generated prompts is determined for customizing the LLMs. Domain specific recommendations are provided by LLM based on the generated diagnostic data and insights for resolving the operational issues.