Webinars

68 Results

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68 Results

  • On-Demand Webinar

    Join us for several Life Sciences (LS) use case scenarios of Deloitte’s Marketplace Intelligence (MPI) solution, powered by Qlik, which combines intriguing visualizations with a powerful data provisioning capability designed with data lake technologies that is easy to deploy and easy to use. See how MPI helps LS companies analyze:

    • Where is my next best customer?
    • How do I influence my customer base more effectively?
    • How should I adjust my sales strategy?
    • Why is my performance different than plan?
    • Am I leaking revenue on my contract performance?
  • On-Demand Webinar

    Looking to adopt an embedded analytics strategy and not sure where to begin or what to consider? Join us for this embedding analytics 101 overview session to understand the factors driving the need for embedded analytics and more.

  • On-Demand Webinar

    Find out how data warehouse automation can increase the agility, productivity, ROI and speed of all your analytics projects – and see a case study featuring strong ROI for a recent Qlik customer.

  • On-Demand Webinar

    Discover how leading organizations overcome data and analytics pitfalls, monetize their data, win at large-scale data literacy and get beyond AI hype.

  • On-Demand Webinar

    Become a Qlik Insider and join us for a deep-dive discussion and tailored product demonstration on the newest capabilities delivered as part of Qlik's most recent product releases.

  • On-Demand Webinar

    In this webinar, you will see how world-leading provider of mobile modular power, temperature control and energy services Aggreko, have designed an effective technology stack in Azure to enable them to accelerate the delivery of value using Microsoft & Attunity products. How to drive business value from data to support business strategy Designing an effective data architecture to support insight-driven decision making Assessing and utilising the right technologies in the cloud to accelerate delivery of value Considerations, challenges and lessons learned along our data journey.