In the race to operationalize AI, the biggest hurdle isn't the model—it's the accessibility and "readiness" of your core business data. For enterprises running on SAP, this means data is often locked in siloed structures that AI struggles to access.
However, transforming these rigid systems into curated Data Products provides the answer as we move to an Agentic AI future.
DBTA recently held a webinar, Turning SAP Data Complexity into Agentic Intelligence, with Matthias Anders, senior director, PreSales Center of Excellence EMEA and strategic at Qlik, who offered an in-depth exploration of how Qlik is redefining the data management lifecycle.
By using Qlik's market-leading integration capabilities, businesses can bridge the data gap between heavy SAP environments and AI-driven ecosystems.
According to Anders, Qlik Data Products for SAP can:
- Accelerate time to insight: Address business problems immediately while competitors wait through lengthy IT projects.
- Eliminate technical debt and reduce TCO: No custom code maintenance—automated field translations, SCDs, and SAP business logic. Reduce total cost of ownership by 60-70%, freeing IT resources for innovation.
- Democratize SAP data across the organization: Business friendly models eliminate SAP complexity and analysts self-serve without SAP expertise. Cross functional teams collaborate on trusted data instead of siloed spreadsheets.
- Make real time, intelligent decisions with AI: Qlik Agentic experience delivers instant insights through natural language questions.
- Future proof your analytics architecture: Scale from one domain to enterprise wide with consistent modeling and governance.
Qlik Data Products for SAP also offers pre-configured content and templates, Anders said. Use cases include, supply chain, quality management, procure-to-pay, shopfloor management, inventory management, financials, order-to-cash, and more.
For the full webinar, featuring a more in-depth discussion, Q&A, and more, you can view an archived version of the webinar here.