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.
100% of releases moved to automated CI/CD with Azure DevOps.
0 post-launch issues reported after platform rollout.
2 delivery modes unified on one platform: batch and streaming.
The client wanted to make data consumable across business units in a more secure, scalable, and standardized way, but the starting point was a disparate data environment with limited automation, ad-hoc monitoring, and inconsistent documentation.
Datansh implemented a centralized data product platform using batch and streaming pipelines, improved the proposed architecture, automated Dev-to-Prod workflows with Azure DevOps, and added monitoring dashboards in Power BI to make the reporting backbone more reusable and reliable.
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 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.
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.