In a data-driven enterprise, unlocking value from your SAP S/4HANA, SAP BW/4HANA and other SAP landscapes means more than simply moving tables—it means building a fully integrated pipeline from SAP to analytics, AI and business insight. Bridgify Tech’s SAP Data Factory consulting practice is built to deliver exactly that.
We help you articulate which SAP systems, extractors, CDS views or InfoProviders deliver the business-critical data. Modern platforms such as Azure Data Factory now provide SAP-specific connectors (e.g., SAP CDC, SAP HANA, SAP BW) to enable change-data-capture, incremental loads and high-performance integration. At Bridgify Tech, we map this uniquely to your business drivers—whether enabling real-time analytics, large-scale data lake ingestion or downstream AI-models.
SAP landscapes often carry high volumes, complex schemas and strict operational constraints. Using SAP-specific connectors and templates we enable efficient, compliant extraction of both full loads and deltas, from SAP tables, CDS views or BW extractors into modern data platforms (for example, cloud data lakes, data warehouses, analytics platforms). We also build transformation flows, data-quality checks and pipelines that prepare SAP data for consumption by analytics teams or ML use-cases.
Working with SAP data means navigating licensing, change-data-capture rules, performance constraints and security mandates. Bridgify Tech embeds robust governance, ensures alignment with SAP-approved extraction mechanisms (e.g., ODP, CDC) and builds monitoring, cost management and optimisation routines into your data factory operations—so the solution can scale with your business.
Our consulting isn’t just about pipelines—it’s about delivering insight. By enabling your SAP data to feed analytics, dashboards and AI models faster and more reliably, we help turn your SAP investment into strategic advantage.
Ready to harness your SAP landscape as a core asset for analytics and innovation? Partner with Bridgify Tech to build your SAP Data Factory strategy, execute the pipeline, and continuously optimise so data becomes a competitive differentiator.
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