Data Science

More nuanced than our understanding of your business, is our deep understanding of the data that underpins it. The approaches we have developed for obtaining high quality data for financial organisations is more art than science, and we have a plethora of proprietary analytical techniques to analyse it.

At a very high level, the phases are

normalise the business such that it generates data of reusable value
normalise the data, such that it analytical methods are viable

While neither of these transformations should be underestimated, once this data becomes available, then deriving value from it will be transformational for your business This can be done in ways that can open up new revenue streams, and/or vastly improve existing practices, and this is where our experience in building economically viable solutions is proven.

We have applications in customer and market behaviour, data quality management, credit processes, pricing, client on-boarding, portfolio modelling….. and our services range from early-stage feasibility studies through to on-going machine training managed services. Always, our goal is to transform data from being an organisational constraint into a commercially differentiating asset.