Finance

High volume of accurate historical records allow us for introducing DL in finance not only into more traditional areas such as portfolio management but also to customer service or sales of financial products. As an example of the projects we run - Introducing ML into claim analysis derives value from big database of customers features, history, trends and customers financial portfolio analysis allowing for latent preference unveiling and proposing the lowest compensation amount without concern of customer satisfaction suffer. Loan and insurance underwriting, fraud detection, algorithmic trading or pricing just to call a few areas of fruitful applications in finance.

Optimizing marketing communication in terms of leads generating is of paramount importance for attribution modeling. This is achieved by specific elements of the analysis which encompass effectiveness and efficiency of lead generating increase, by:

• Media mix optimization
• Analysis of seasonality
• Optimization in terms of the 5 below mentioned aggregates (e.g. message, placements)
• Iterative verification of budget reallocations which allow for immediate testing of new strategies