Data analysis is the most important part of information delivery.  Without experts, there is know way of knowing if your models are optimal or even accurate.  A bad analysis system can become embedded in the decision making structure of a company and exist there for years, doing more damage than good.  Hamilton Numbers leverages a company’s current knowledge base and uses transparent methodologies to bring the best answers possible.

We can work on:

  • Reporting
    • Our platform independent best-of-class reporting methodologies will make sure you have the information you need to optimize your work day.
  • Dashboards
    • Less is more in the world of dashboards, but what to take away? Hamilton Numbers will create the optimal solution whatever the requirements. Dashboards rely heavily on graphics, and our graphics experts can create compact and concise graphics for great decision making.
  • Statistics
    • We are statisticians. Hamilton Numbers can handle your statistical needs and more. Statistics has a broader applications than its well-know tests and confidence intervals. Have you considered predictive models that predict month to month outcomes? Have you used statistics to enhance your budget process? Are control charts implemented in all the processes that have unexplained variability? Have you measured utilization against the standard.
  • Modelling
    • Statistical Modeling, probabilistic modeling, time-series modeling. As long as you have the data, anything can be modeled. Even if you don’t have data, we can generate it. If you have data for modelling, then you can use that model to explain the past and predict the future.
  • Machine Learning & AI
    • Machine Learning and AI are simply model methods. The situation determines the model, not the other way around. If one understands the dynamics of the problem and the structure of the data, then they can apply the most appropriate model. Hamilton Numbers has 25 years of Machine Learning experience. We can install models on cloud networks or tiny SOC boards. If a machine learning model fits, then that is what we will put there.