SunX Research Data, A Division of SunX LLC
SunX Research Data, A Division of SunX LLC
Mathematical & Statistical Modeling
Models built for your problem, not borrowed from someone else’s.
ABOUT THE SERVICE
Some problems don’t fit off-the-shelf tools. Forecasting under uncertainty, putting numbers on risk, allocating limited resources or designing a sound experiment all call for a model built around your particular circumstances. A generic template can look convincing while quietly answering the wrong question.
We develop, test, and document mathematical and statistical models tailored to your problem. That might mean simulating a range of possible outcomes, finding the most efficient way to schedule or allocate resources, or designing a study so its results can be trusted. Whatever the challenge, the model is built to serve your decision.
Just as important, we make sure you understand it. A model is only useful if the people relying on it know what it does, what it assumes, and where it stops being reliable. We explain all three in plain language.
OUR APPROACH
Before we build anything, we agree on the assumptions with you, because every model rests on them. Once the model is built, we test how it behaves when those assumptions turn out to be wrong. That is where many models quietly fail, and it’s where careful testing pays off.
You receive a fully documented model, a plain-language guide to using and interpreting it, and a hand-over session with your team so you’re not dependent on us to keep it running. We also offer independent statistical advice, including sampling design, experimental design and validation of existing work, which is particularly useful for organisations without a statistician on staff.
We support private-sector businesses and government agencies across Australia and New Zealand, all delivered remotely. If you’re not sure what kind of model your problem needs, that’s a perfectly good place to start. Describe the situation, and we’ll recommend an approach.
Our Process
Explore possible futures and the range of outcomes you should plan for.
Put numbers on what could go wrong and how likely it is.
Find the best use of limited time, money, or resources.
Sound sampling, experiment design and independent checking of statistical work.
FAQ
A custom model can be useful when your problem cannot be answered adequately with standard reporting or off-the-shelf tools. Examples include forecasting, simulation, risk analysis, optimisation, resource allocation and statistical study design.
That is not a problem. Start with the decision, challenge or question you are trying to address. We can assess the situation and recommend an appropriate modelling approach.
Yes. Depending on the project, models can be designed to explore different assumptions, scenarios and possible outcomes so you can understand both expected results and the risks around them.
Yes. We can independently examine an existing model’s assumptions, logic, methodology and outputs to identify potential weaknesses and determine whether it remains appropriate for its intended purpose.
Our aim is to make models transparent and usable rather than creating a black box. We provide appropriate documentation and explain the assumptions, outputs and limitations so your team can interpret the model with confidence.
