Case Study

Analytics as a Service Helps an Industrial Construction Company Reduce ETL Time and Enable Effective Decision-making

Analytics as a Service Helps an Industrial Construction Company Reduce ETL Time and Enable Effective Decision-making

Pages 3 Pages

A full-service industrial construction company had an Enterprise Data Warehouse fed by a legacy eCMS and Dynamics AX 2012, but ETL was slow and unreliable due to 500+ source tables, data quality issues, and heavy demand for near real-time dashboards. Synoptek provided Analytics as a Service using Azure and advanced analytics to optimize ETL packages, expand and validate the EDW with new sources (including productivity data, AX HR data, and a custom TMS), and deliver 250+ reports and dashboards plus Power BI reporting. The solution also enabled monitoring and support to resolve ETL failures before business hours, added row-level security, and supported self-service BI on curated marts and measures, improving stability and report adoption.

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