Data
Science
Consultancy.

Machine learning

Machine learning builds predictive models using algorithms which learn from a set of training data. Once a model is initially developed you can then run vast amounts of data through it without the need for further human intervention.

Machine learning models are extremely dynamic, they constantly evolve and become increasingly more accurate as they are exposed to more data.

Propensity modelling

Propensity modelling is a form of machine learning which is used to predict customer behaviour. This process involves using data mining techniques to extract features from the data. These features are used to determine the dimensions for the algorithm and through a phase of evaluating algorithms to find the most effective solution which then becomes the basis of the propensity model. Using this model, you are able to better understand customer behaviour and predict customer decision making. In turn this enables you make smarter business decisions such as allocating resources to the most profitable group of customers.

KEY SKILLS

We have a data science team which is highly skilled in the disciplines needed for data mining, programming algorithms, and building AI models.

Our team includes data strategists, who work closely with you from the outset to understand your business and the questions that need answering.

Programmers who can create the software and AI models needed to answer your business questions and conduct predictive analysis.

And insight consultants who communicate the insights and predictions back to the stakeholders to help them make the right decisions for today and tomorrow.

The Jarmany team has expert, qualified technicians skilled in Microsoft Azure, Python, and R.