Is your model still reliable?

Models age faster than you might think. Market conditions shift. Data evolves. Internal processes change. A model that once performed perfectly can gradually lose its edge. And yet, a Model Review rarely tops the priority list – until it has to: in the context of an audit, an unexpected outcome, or declining internal confidence.
At CQM, we combine deep domain knowledge with decades of experience in building and reviewing models. Examples include:

• Optimization - are your decisions still the best possible? 
• Forecasting - do your predictions still reflect reality?
• Simulation - is your system still robust under varying scenarios?
• Calculation models - do assumptions, variation and reliability still hold?

Sometimes a review is mandatory - for example when working with regulators, as was the case at NS. But more often, the need arises from internal doubt or changing conditions. Like at CB, which used simulation to prevent a critical bottleneck. Or Paleis Het Loo, where forecasting enabled smarter resource planning during peak seasons.

To help you quickly assess whether a Model Review is relevant for your situation, we’ve developed a practical checklist. It gives you a clear, customized recommendation in just a few minutes.

• Start the questionnaire here

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Want to explore more?

• Model Review
• How Fibrant makes decisions 7x faster with an optimization tool
• CARU: global supply chain visibility through smart modeling

_{Image by yeiferr from Pixabay.}