Forecasting & Statistics
We bring a wealth of statistical expertise to help you make data-driven decisions and plan for the future with confidence.
About our work
At Mime, we help organisations make evidence-based decisions by applying rigorous statistical analysis to answer their most important questions. And our advanced predictive models and analysis give you the insights needed to plan for the future with confidence.
We combine deep statistical expertise with over 15 years of experience, from conducting straightforward data analysis to developing highly complex predictive models. Our tailored forecasting techniques range from basic descriptive statistics and regression analysis to advanced machine learning algorithms, time series forecasting, and spatial analysis. We adapt our approach to fit each unique situation, ensuring that the level of complexity matches the needs of your organisation. Our models have been used to identify individual children most at risk of dropping out of school, as well as to produce local authority and national population forecasts.
We ensure that our analysis is easy to understand, free from unnecessary technical jargon, and directly applicable to your needs. This approach gives you the confidence to make informed decisions and manage future funding and resourcing effectively.
How we can help
Statistical methods
Employing a variety of statistical methods, including regressions, machine learning and artificial intelligence (AI), for example to explore relationships or assess impact of interventions
Projecting future trends
Building animated, interactive and engaging visualisations of future trends, to allow you to fully understand how changes to assumptions will play out in the years to come
Funding calculations
Linking the outputs of predictive models to funding calculations, so that likely costs and any mitigations required can be planned well ahead of time
Research frameworks
Creating a focussed research framework tailored for you, starting by understanding your needs and establishing your research questions
Augmenting your own data
Augmenting your own data using our deep knowledge of open datasets to strengthen predictive models
Researching key variables
Researching the key variables to incorporate into forecasting models, along with sensitivity and scenario planning to provide insight into the likely range of future trends
Success Stories
To learn more about how we build forecasting models, and our other statistical analysis work, take a look at our case studies:
