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 are identified.
Unstructured data need to be manipulated and converted into suitable and uniform format. Missing values must be handling at this stage obtaining sanitized data.
Internal data sources can be augmented with external ones. Data coming from several sources 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 process that underlies. These models allows decision makers to prove their hypothesis and to study different scenarios
The results of a data analysis process must be delivered to decisions makers. It is necessary to elaborate concise and relevant reports that highlights the most important outcomes and explain the conditions under those where obtained.
Businesses and markets are dynamic, so data analysis must be updated in order to capture new trends, early opportunities. We provide tools to incorporate new data as soon as there are created staying sure that decisions are taking based in the latest information..