Datansh helped a multi-business infrastructure enterprise move from fragmented data ingestion and delayed reporting to a scalable Azure data platform with automated pipelines, curated datasets, and near real-time visibility.
16–17% lower Synapse compute cost through pause-resume optimization.
3 major business domains enabled on one reusable platform as the solution expanded across operations.
~45% lower manual reporting intervention through automated ingestion, validation, logging, alerts, and pipeline orchestration.
The client was dealing with fragmented source systems, manual ingestion, inconsistent data formats, delayed reporting, and too much operational effort spent fixing data and reporting issues instead of using data for planning and action.
Datansh implemented an Azure-based modernization layer using ADF, Databricks, Synapse, Logic Apps, and Power BI to centralize data, automate ingestion and validation, stage curated datasets, and deliver dashboards with stronger reliability and lower operating cost.