Data Modelling

Data modelling is a method of finding features and rules that govern past and present system behaviour, so as to approximate and represent them mathematically. The purposes of data modelling include improved system understanding, graphical representation (visualisation), and making predictions (forecasting).

BES has the experience and knowledge of a wide range of world-standard modelling tools and can provide the best solution for client-tailored purposes.

Data Collection

Characterisation – Extracting trends and behaviour

Defining clear objectives
and clarifying questions to be answered

Selecting suitable modelling methods

Data Driven Modelling

Generalized linear modelling, ARIMA, Deep Learning …

Process-driven modelling

Numerical Analysis, Numerical Simulation, Distributed / centralised types

Visualisation and forecasting