Make smarter decisions with Predictive analytics

Predictive analytics is based on the exploration of passed and present events and behaviors. This analysis allows to uncover patterns and relationships between the variables in the data. The use of that relationships allows to make predictions when similar conditions are encountered.

Predictive analytics, implemented with significant number of observations, allows to make predictions with great confidence. This leads to invaluable insights and better informed decisions.

Predictive analytics process includes two steps :

• In the first step, historical data are processed with different Machine learning algorithms and a model is built. The model can take several forms : set of rules or sophisticated formulas... The retained model is the one that predicts, from several caracteristics in the data, the facts with the best precision.

Historical data Algorithms Predictif model

• In a second step, the model is processed with new data. The model derives predictions from the caracteristics of that data.

New data Predictif model Predictions

The predictions are then used to drive business decisions.

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Discover more analytics applications by clicking on the following links:

• Know your customers better with customer segmentation.
• Focus your precious resources with Predictive lead scoring.