Developing data analytics solution employs creating a model that is trained on the available data and then applying the trained model to estimate future behaviour of the targeted variables. While the models we do are typically done in Python and R, this is often not enough depending on the customer case. If you do not have the team and experience to run the created models but do need to run them often, then the models need to be available for use even with non technically proficient users. That is why in addition to creating bespoke analytical solutions, we can also create a custom user interface for it (e.g. web application), so that the end users will be able to use the model regularly as needed. This allows complex statistical and mathematical methods to be packaged as easy-to-use and intuitive tools, which creates significant value for the end users, saves operating time and creates a much better user experience.