Datansh helped a U.S.-based multinational manufacturer replace static, number-heavy ERP reporting with a secure Azure-based analytics foundation that unified legacy ERP data, connected additional enterprise sources, and turned reporting into interactive business visibility.
+10% revenue improvement in one department after teams could identify and correct missed business issues.
5+ source types unified into one reporting foundation across ERP, CRM, databases, and files.
100% of legacy static number-based reports modernized into interactive Power BI reporting for the targeted estate.
The client was running on a legacy JD Edwards environment, and reporting was still largely static, PDF-based, and number-heavy. Teams could see data, but they could not easily identify what was going wrong, where performance was slipping, or what needed correction.
Datansh built the analytics foundation from the ground up by copying ERP data into on-prem SQL Server, moving it into Azure through reusable ADF orchestration, and expanding the model with CRM APIs, SQL and non-SQL systems, SharePoint files, and additional enterprise data sources into a centralized Azure SQL warehouse with Power BI on top.
More work in manufacturing and adjacent operational environments.
Datansh helped a U.S.-based light manufacturer transform long, unstructured CRM conversation histories into predictive next-action intelligence, giving sales reps and managers faster clarity on how to move enterprise deals forward.
Datansh helped a multinational tyre manufacturing organization move from disparate, semi-structured data flows to a centralized batch-and-streaming platform that treated data as a product and improved enterprise reporting reliability.
Datansh helped a distributed manufacturing organization replace fragmented Power BI development and slow deployments with a governed CoE model built around standardized semantic models, tenant monitoring, and CI/CD-driven release control.