Data Seer

In business processes, the use of systems that allow the prediction of performance indicators is of utmost importance, because the exploitation of data held by different economic entities can bring them competitive advantages, both at the level of production and at the level of the entire management activity. In a dynamic business environment, highlighting long-term or very long-term trends seems difficult to do; Instead, the analysis of large-volume data with the aim of identifying short- and medium-term trends, validating them and detecting as quickly as possible when they are no longer valid is increasingly accessible, but sometimes at prohibitive costs.

Currently, many decisions taken are mainly based on the talent and experience of some managers, being difficult (if not impossible to analyze through traditional methods) to exploit the entire amount of information held by the company and which could have a major influence on these decisions. This analysis can become possible using applications that exploit the data accumulated over time, in order to obtain additional information such as the identification of trends or models (patterns) that are of particular interest in decision-making. This can be achieved using the machine learning component of AI, applied to large data sets (big data).

Although the idea of a product that "models" and predicts future developments of some business indicators is not a new one, the innovative nature of the Data Seer platform consists mainly in the following aspects:

• the use of more or less structured data from sources other than a client's own sources (eg., a weather forecast or a forecast of the evolution of some currency or stock market indicators);

• the use of machine learning in the identification of behavioral patterns and in proposing a certain business conduct for future.

Therefore, the Data Seer platform will cover an obvious need for any business-oriented organization, having as supporting elements 2 extremely attractive features, compared to other similar products:

• extended functionalities and predictions based on multiple influence parameters, internal and external to the organization;

• affordable prices.