Auditing all the data sources available inside a company is the first step to exploit the data potential. Data coming from different sources in different formats is identified.
Unstructured data needs to be manipulated and converted into suitable and uniform formats. Missing values must be handled at this stage obtaining sanitized data.
Internal data sources can be augmented with external ones. Data coming from several sources such as social networks activities, web databases, open data can be integrated in order to generate the most complete and relevant compilation of data for an enterprise.
Applying machine learning techniques and statistical principles led us to analyze the data and to build models that mimic the underlying process. These models allow decision makers to prove their hypothesis and to study different scenarios
The results of a data analysis process must be delivered to decision makers. It is necessary to elaborate concise and relevant reports that highlight the most important results and explain the conditions which were obtained.
Businesses and markets are dynamic, so data analysis must be updated in order to capture new trends and early opportunities. We provide tools to incorporate new data as it´s created ensuring that decisions are taken based on the latest information.