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WORK

Global American Fast Food Chain

ATTRIBUTION MODELS DEVELOPMENT

The objective of this work was maximize the number of customer purchases and their individual values by apportioning marketing spend to the most appropriate channels. The model enabled analysis of the impact of different marketing channels and the interactions between them.

The model’s output was then used to suggest reallocation of the client's media spending while maintaining the same overall budget.

RESULTS
During the first 3 cycles of optimization the model generated 27% of additional revenue.

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Attribution models development
Media Industry

ROI Optimization

The client purchases a significant volume of traffic by placing their banners or pop-unders on websites.

The traffic generated, and therefore the resulting revenue, varies depending on the websites used. The system developed predicted which of 50,000 websites owned by a media company would bring a positive ROI. It is used in the planning stages prior to launching a marketing campaign.

RESULT
The system reduced the total marketing spend by 50% and delivered a high degree of predictability to the targeted revenue.

ROI Optimization
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Job Portal

Fraud Detection

The customer’s job-portal receives a few hundred new advertisements daily. Each advertisement requires verification to ensure that it meets the portals terms and conditions.

This is a complex and time consuming manual task which limited the number of new advertisements that could be accepted. The system developed automatically checked the compliance of the advertisements as they posted by the portal’s customers.

RESULTS
The new system helped to reduce the amount of manual work achieving a 91% efficiency improvement.

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Fraud Detection
Shopping Special Offers Hub

monetization improvement

The customer maintains an Offers Hub to manage special promotions across their ecommerce sites.

The system looks at the analytics of the monetization of the offers so enabling the optimization of the resulting profit. Additionally, a financial toolkit including a cash flow model was developed to allow for a more detailed in-depth insight.

RESULTS
The improved cash flow tracking of 10,000 invoices a month, enabled better targeting of the offers to users. This resulted in a tripling of the monitization is some of the categories.

Monetization improvement
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Health

Heart Murmurs Detection

The main challenges was in recognizing sounds recorded by various types of stethoscopes.

A secondary consideration related to the wide range of a human’s heart beat depending on age, medical condition, and individual health profile. A neural network was developed to detect murmurs in heartbeats, which could be indicative of a problem, irrespective of the variable factors in recording or patient condition.

RESULTS
92% of recorded heart sounds were correctly validated as comprising heart murmurs or not.

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Heart Murmurs Detection
Polish National Health System

Analytics of patients data

Modern health services deal with large quantities of patient data the accuracy of which is critical.

The modules of this system are used for the storage and tracking of a population of 3 million people including their health and medicines histories. A suite of Business Analytics scripts was implemented to support in-depth analysis.

RESULTS
The NHS was able to verify each patient's status and detect fraud attempts.

Analytics of patients data
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How can we help you?

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