Due to manual efforts, a company encountered data analysis challenges that hindered its operations. Generating multiple reports, such as monthly reports for various commodities, weekly sales pipeline reports, daily inventory and logistics reports, and P&L statements, consumed significant resources and time. This manual process resulted in errors and delayed decision-making.

Furthermore, standardizing the entire database for interpretation posed difficulties and caused data loss, leading to inaccurate results. To overcome these challenges, Value Creed proposed a comprehensive data transformation for the company that would address all underlying issues and streamline data management, simplifying the overall data analysis process.