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Embedded Analytics
Modern supply chains generate large volumes of data across ERP systems, warehouse platforms, transport management systems and IoT devices. Yet many organisations still struggle to turn that data into clear, actionable insight.
DataBuilders helps organisations bring their supply chain data together and transform it into real-time analytics that supports better operational decisions. By combining FME data integration with Sisense embedded dashboards, we create a single, trusted view of supply chain performance.
The result is greater visibility across stock, orders and deliveries, improved forecasting capability, and the ability to optimise routes, reduce costs and improve service levels.
Meet the FME Suite
Supply chain data is often spread across multiple systems such as ERP platforms, warehouse management systems and transport systems, making it difficult to build a clear and consistent view of operations. Without integrated data and reliable reporting, organisations find it challenging to monitor performance, forecast demand and identify inefficiencies across the supply chain.
No single source of truth across a wide variety of systems. This often results in conflicting reports, duplicated data and uncertainty about which metrics can be trusted.
The supply chain is evolving rapidly, making reporting and KPIs hard to maintain. New suppliers, distribution models and operational changes can quickly make existing reporting structures outdated.
Our Approach
We combine data integration and spatial automation with embedded analytics to deliver operational dashboards teams will actually use. This approach ensures that data from multiple systems is integrated, structured and presented in a way that supports faster, more informed decision-making across the supply chain.

FME populates your data warehouse with the latest operational data from ERP systems and IoT devices, to create a single real-time view of stock, orders and deliveries.
FME also processes historical datasets to support trend and forecast analysis, and uses advanced spatial tools for network analysis and routing.
Typical Outcomes:
- Improved data quality and standardised KPIs
- Better routing decisions using spatial network analysis
- Faster reporting cycles and fewer manual reconciliations

Sisense provides supply chain analytics with built-in AI and API-first flexibility, enabling embedded dashboards inside your existing platforms and portals.
Analytics areas we deliver include:
- Predictive and prescriptive insights
- Supplier trends and performance
- Cost optimisation
- Inventory risk
- Delivery performance