We organise and analyse vast amounts of data, employ statistical techniques, and extract valuable lessons for our customers.

We utilise econometrics and machine learning along with other data handling methods and analytical tools and approaches.

We carry out data analysis, evaluations, measurements of effect, mappings, and forecasting.

And we employ economic models as a powerful tool for analysing alternatives.

Data Organising and Modelling.

We organise and analyse vast amounts of data. Organising data is paramount to extracting relevant knowledge. We build and employ data models to assist decision makers in evaluating alternative actions, creating and calculating alternative scenarios.

We have our own fully fledged and full population tax-transfer microsimulation model for Denmark. With this model we analyse distributional, budgetary and other impacts of government tax-transfer policies as well as calculations of effective marginal tax rates for the whole population.

This is extremely powerful for analysing policy alternatives - and it’s a valuable tool for analysing complex decisions for organisations and companies, and how markets are impacted by government policies and general economic developments.

Econometrics and Statistics.

We employ econometric analysis of data, helping us identify important lessons that create value for our customers that are hidden to the naked eye.

We are experts in utilising a wide range of econometric techniques, within main stream econometrics as well as more advanced techniques. We apply techniques that compare trials and controls, identify developments, and forecast consumer or other behaviours.

Big Data and Machine Learning.

Understanding big data and multidimensionality requires novel techniques and approaches.

We apply machine learning techniques to make sense of large datasets with many variables and complex relationships to summarise information and to maximise value and provide actionable insights for our customers .