2023 Calendar
Virtual Events

How Data Mesh Makes Supply Chains More Resilient, Efficient, and Sustainable

Mar 09, 2023
3:00 PM - 4:30 PM EST

Sponsored by

  • Speaker Dan Potter Vice President, Product Marketing

    Dan Potter is the vice president of product marketing at Qlik. He is responsible for Qlik’s go-to-market strategies for modern data architectures, data integration and DataOps. Dan brings more than 25 years of leadership and marketing management having previously held executive positions at Oracle, IBM, Attunity and Progress Software. He helped accelerate industry-leading revenue growth in data integration at Attunity and post-acquisition at Qlik. He is a published author and frequent speaker on cloud modernization, data management and analytics.

  • Speaker Jeeva Akr WW Leader, Azure Cloud Scale Analytics - Strategy & Execution at Microsoft

    Jeeva Akr is the world-wide leader of Microsoft’s Azure Cloud business. He’s responsible for strategy and execution the company’s Azure Cloud Analytics business unit. Mr. Akr is an executive with proven leadership in the enterprise analytic software market. His experience includes Analytics, AI/ML, IoT, Edge Computing, and Platform Technologies. Jeeva’s has a proven track record of leading large, diversified multi-functional teams across global alliances to deliver value for Microsoft clients.

How Data Mesh Makes Supply Chains More Resilient, Efficient, and Sustainable

Thursday, March 9th | 3 PM ET


Every year, businesses lose millions of dollars due to equipment failure, delivery delays and unoptimized supply chains because they don't integrate their business and operational data.

Hear how Qlik Cloud Data Integration and Microsoft Azure work together to help our mutual customers like Mercedes-Benz, Vale, and others streamline the collection of data from different sources and automate their date pipelines to improve supply chain performance.

The challenge is that data takes many forms and is in many different formats: master data to enable business processes such as material specs, transactional records like purchasing inventory—and unstructured from IoT sensors. Supply chain data is stored in a variety of enterprise resource planning (ERP) and customer relationship management (CRM) applications, in warehouse management systems (WMS), and other sources such as SAP with proprietary data structures 

Join us to learn how you can use Qlik with Data Mesh to meet your data challenges and transform supply chain operations.

  • Reduce the friction points in your supply chain, including suppliers, partners, and warehouses.
  • Adapt to or minimize the impact of disruptive events (e.g., pandemic, weather, disasters, geopolitical disturbances, etc.)
  • Increase supply chain visibility to improve control and efficiency.
  • Enable data-driven decision making through modern analytics, real-time data sources, and artificial intelligence