By harnessing the power of cloud-based data storage and analytics, retailers can gain insights into their operations, enabling more accurate forecasting, streamlined inventory management, and improved customer satisfaction.

For years, businesses have relied on Excel spreadsheets as their go-to solution for managing critical data. These 'magical' Excel files often become the backbone of operations, containing everything from customer information to financial records. However, as organisations grow and data complexity increases, the limitations of Excel become apparent.

Semantic Views streamline data access and interpretation, making it easier for businesses to derive valuable insights from their data assets. The semantic layer facilitates the integration of AI and machine learning technologies by providing a consistent, well-defined data foundation for these advanced analytics capabilities

Predictive maintenance utilises advanced analytics and machine learning algorithms to forecast when equipment is likely to fail or require servicing