This page gives a flavour of the services we offer. Please do contact us with your specific requirements or if you would like to discuss any ideas you have - we would be very happy to work with you to develop them into a project brief.
We can deliver the results of your required analysis in a variety of ways - a research-style written report, a spreadsheet, an interactive dashboard for you to further analyse and interpret, a webpage for you to embed in your website, a full website or a combination of these media.
If you have a requirement to design and run standard machine learning and/or reporting processes - perhaps on top of an existing database or data warehouse - we can help you to plan, design and develop the solution. We offer objective and independent advice regarding which technology to select for your solution, taking into account the scale of both your data and your budget.
With expertise in the data visualisation techniques invaluable for effective decision making (see some examples on our blog), we can help you to benefit from using these methods in your business.
This can be achieved by you using our software products that will enable you to define and build your own data visualisations and dashboards, or we can work with you to develop them for you.
The effective application of 'Data Science' - in any of its forms - and the development of data science teams requires a multi-disciplinary approach. In today's working environment there is perhaps too great a focus on the technologies that can be used for data science and machine learning rather than the consideration and planning that's required to become a successful analytics team or data-driven organisation.
We have a great deal of experience in building effective data science teams, and in the strategic planning that forms the basis for the cultural changes required for an organisation to become data-driven. We can help you to achieve your goals in this area.
We have run a number of successful data science workshops for companies and organisations. These focus on the key concepts and methods underpinning data exploration, visualisation and machine learning, and in the use of popular coding frameworks (Python, R, SQL etc.) and tools (notebooks, RStudio, web frameworks) to carry out such analysis. Please contact us if would like to discuss further.