An insurance company faces challenges in managing and processing large volumes of policy and claim data. This data arrives in various formats—nested, flat, file-based, tabular, and relational—making it difficult to consolidate, cleanse, and analyze efficiently. The company lacks a unified platform to manage the data lifecycle, from ingestion to transformation, storage, and analysis. They need a solution to automate data processing workflows, ensure data quality, and provide actionable insights through advanced analytics and reporting tools. Current manual processes are time-consuming, error-prone, and do not scale well with increasing data volumes.