Case Study: SIG achieves centralized, governed analytics with NeosAlpha’s Azure Data Warehousing solution

SIG reduces manual ETL effort with NeosAlpha for Azure data warehousing

SIG, a UK-based international retailer, faced significant challenges due to fragmented data across its independent European business units. The company struggled with data silos, multiple data formats, and manual consolidation processes, which led to delays, quality issues, and unreliable reporting. To overcome this, SIG engaged NeosAlpha to implement a scalable Azure data warehousing solution to centralize analytics and governance.

NeosAlpha designed and implemented a comprehensive Azure data platform for SIG. The solution included an Azure Data Lake for storage, automated data ingestion pipelines using Azure Data Factory, and a centralized data warehouse with Power BI for reporting. This provided SIG with a single source of truth, improved data quality, and reduced operational costs through automation. As a result, NeosAlpha's solution enabled real-time analytics, giving executives timely access to accurate data for informed decision-making.

SIG