– Bespoke analytical solutions with end user interface

Developing data analytics solution involves 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 custom user interfaces for them (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.

– End-to-end integration of analytical tools with client IT solutions

To be used properly, analytical models often need to be integrated directly within the IT landscape of the customer. If you for example have an ERP system and you need to apply some analytical work on an element you manage within it, while it is possible to do an export of data and then do the analysis on that exported data, it is sometimes not desirable to do so. You may need to run the estimation regularly or use it in other systems as well (e.g. BI solution). If that is the case the right approach would be to have a way to get data from your ERP API (or from your database), run the analytical tools and submit the results directly to the system that needs to have them. We can create such custom and complete workflows directly integrated in your IT landscape, so that the advanced analytical tools we create can be seamlessly integrated to your business processes.

Data Analytical Audit