Business modelling

There are a variety of sources that can help you decide if you are running your business efficiently and identify areas for improvement but have you considered using your customer data as a source of intelligence? Using sophisticated data mining and statistical models, we can extract information about customer behaviour and characteristics that will assist you in your business planning.

The key tenet of business modelling is to improve business processes to assist in achieving objectives with increased efficiency. More specifically, business modelling uses data analysis to improve the way a business is managed and to make it more profitable. The statistical methods Taylor Fry employs for each project are driven by the project aims, business structure and data availability. We are highly experienced in modelling businesses with a large portfolio of customers and have to date performed portfolio modelling for the following purposes:

• Portfolio segmentation - This allows you to identify the most profitable and least profitable groups of customers from a portfolio of business. Subsequently each subgroup can be managed differently to maximise profitability. Do not assume that you already know this about your customer base! When we have carried out this exercise in the past, managers have been surprised at the characteristics that define the most profitable/unprofitable customers.