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  • - by Koen Cobbaert

    Service level targets: Why 99% isn’t always better than 95%

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  • - by Koen Cobbaert

    Lead time variability is breaking inventory planning, and forecast accuracy won’t save it

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  • An developpment engineer in protective Tyvek wear and goggles, using a tablet in aclean room to illustrate the theme of CDMO digital transformation
    - by Atit Patel

    Commercializing cell and gene therapy: 4 ways to protect time-to-patient

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  • - by Karthick Sarma

    Chief Data Officer: why data leadership is reaching a tipping point

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  • - by Karthick Sarma

    AI-first supply chain data: how the role of data will evolve over the next 3 to 5 years

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  • - by Izak Lamprecht

    The new kid on the block for data management and analytics: SAP BDC

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  • Woman checks inventory in a warehouse
    - by Valérie Vandenbroucke

    Unlock Multi-Million Savings with Axon’s Inventory Command Center

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  • - by Antoine Peckel

    Planning Before and After Anaplan: What Truly Changes

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  • - by Karthick Sarma

    Supply chain data readiness myths that slow digital transformation

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  • - by Siem Jaspers

    Inventory command center for more reliable life science inventory decisions

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  • - by Jerry Onianwa

    Making Supplier Collaboration Simple: Four Capabilities That Actually Move the Needle

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  • - by Scott Barnard

    Bursting the AI Bubble: Stop Buying Hype, Start Building Value 

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  • Back view of administrators having a meeting with medical experts in the hospital.
    - by Falk Lenk

    Scheduling AND Capacity Forecasting: Turn your plans into strategy

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  • - by Frederik Jaenen

    Therapeutic radiopharmaceuticals: are they “advanced therapies”?

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  • - by Karthick Sarma

    Supply chain data leadership in 2031: What will define the next generation of decision enablement

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