Our Experts

  • Ryan Sinclair

    Having the opportunity to work on a first-class team while providing our partners with solutions that bring real change to how that operate brings me true satisfaction. Blending my early carrier in supply-chain management with the technologies that we work with has allowed me to take a unique approach to solving many of our customers

  • Christopher Appel

    As a former student of economics, I greatly enjoy the opportunity to work with so many different types of firms and industries. They each make economic decisions of varying scales and consequences that impact the global economy in very tangible and fascinating ways. It is a privilege to see firsthand how our clients analyze the

  • Colin Macdonald

    Ever since I was young, I’ve always strived to be the best at everything I did. I’m sure that is a sentiment that can be attributed to many of my co-workers.

We are committed to customer satisfaction. How do we maintain this? By investing in a highly skilled team of technology leaders. Find out more about them.

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QueBIT aims to empower you with the training you need, so that you can apply analytics techniques with confidence. We want you to succeed and see the power in the data that is at your fingertips, so that you can make better informed decisions.

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News & events

  • Webinar – Create user experiences that tell a story with Cognos Analytics

    May 10 @ 2:00 pm

    Webinar - Create user experiences that tell a story with Cognos Analytics This decade has seen a rapid explosion in not only the types and quantity of data, but in the capabilities of tools to utilize it. Effectively utilizing this information is not an exercise in volume, i.e. more and varied reports, but an exercise

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  • Webinar- Predictive Maintenance platform for the IoT Era

    May 22 @ 2:00 pm

    Webinar - Predictive Maintenance platform for the IoT Era The financial health of asset heavy industries depends on knowing when to (and when not to) perform maintenance to maximize up-time and protect large capital investments.  Over the past few years, predictive modeling and mathematical optimization have shown to be highly effective in optimizing maintenance schedules based

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