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Operational priority

Automatization

Modelling algorithms

The scientific paradigm

As the volume of big data increases, automation is needed as an organic evolutionary process of data processing. As the volume of data grows, there are more factors that can influence the decision-making process.

We developed a system to assess the criteria for the influence of these factors in the form of models. We have automated solutions in order to implement the principle into the creation of models.

Built an infrastructure for modelling new algorithms and automatic data processing.

Expertise

Automation of processes

At Equilibrium Intelligence Group we have automated all processes from data processing to market execution, including the automation of risk, reporting systems and information flow processing.

Implemented automation to speed up data processing and problem solving, increasing the level of reliability of the cycle.

Data processing

Working with Data

Data structuring