Advanced Analysis

In Dataflow platform is given the challenge of managing the complexity and uncertainty common to the analytic process, and to the result of effective operationalisation of these techniques.

Business Leverage

with Statistics & ML

Related products, forecasts, behaviour analyses or sentiment analyses are examples of analyses that result from the application of advanced statistics and Machine Learning techniques, that can be grouped into:






Dataflow Artificial Intelligence Module
data with statistics and machine learning

We Work With

AWS Cloud
IBM Watson Cloud
Microsoft Azure Cloud
Google Cloud
Dataflow Homepage

Data Pre-Processing

Advanced Analysis

Techniques used to improve the quality of data at the same time as improving its suitability for specific algorithms and data mining techniques. Integration, sampling, balancing, cleaning, dimensionality reduction and data transformation all form part of preparation tasks that are technically essential for the extraction of the best knowledge from the data.

Dataflow Embedded Dashboard

Machine/Deep Learning algorithms and advanced statistical analysis techniques are applied to previously normalized data in order to extract information in the form of dynamic reports that support tactical and strategic decision-making. The techniques applied vary depending on the nature of the data, as well as the size of the databases.

Advanced Analysis

ML/DL and

Advanced Statistics