Data platform projects that deliver real business value
Anonymised examples showing how BlueHiveTech helps organisations modernise their data platforms, implement lakehouse architectures, deploy AI solutions, and build real-time analytics. Each case study includes the challenge, our approach, and the measured results.
Migrated legacy on-premise data warehouse to Azure
A multi-site healthcare organisation was running a legacy SQL Server data warehouse that was costly to maintain, slow to query, and unable to scale with growing reporting demands across sites.
Built a unified lakehouse on Databricks for retail analytics
A retail group with online and in-store channels had fragmented data across systems with no consistent view of customer behaviour, inventory, or sales performance.
Deployed an AI knowledge assistant for clinical data
Clinical teams were spending hours searching through documentation, protocols, and historical patient data. An AI assistant was built to provide instant, accurate answers grounded in the organisation's own data.
Implemented Microsoft Fabric for a unified analytics platform
A manufacturing company was using multiple disconnected tools for data engineering, warehousing, and BI. Microsoft Fabric was implemented to unify the entire analytics stack under one platform.
Established enterprise data governance and quality framework
A financial services group had no formal data governance framework. Data quality was inconsistent, ownership was unclear, and regulatory reporting was a recurring challenge.
Built real-time operational dashboards for manufacturing
A manufacturing company had no real-time visibility into production lines. Downtime was discovered after the fact and operational decisions were made on outdated reports.