Automated Machine Learning - Insurance Claims

Using DataRobot, you can automatically build extremely accurate predictive models to identify and prioritise likely fraudulent activity. Fraud units can then create a data-based queue, investigating only those incidents likely to require it. The resulting benefits are two-fold. First, your resources are deployed where you will see the greatest return on your investigative investment. Additionally, you optimise customer satisfaction by not challenging innocent claims.

Adidas Data Preparation & Visualization

Infotopics worked with Adidas teams in different regions and business units to drive digitalization in sales and marketing.

Reebok Net Promotor Score

Infotopics worked with global Reebok teams on deploying NPS (net promotor score) rapidly through their business.

Univar Sales & Marketing Reporting

Infotopics worked with Univar to a standard sales and marketing reporting structure and anchor it into theira CRM system.

Döhler Global Management Reporting

Infotopics worked with Döhler to digitize their global executive and senior management reporting.

LDM Business Scan

Infotopics worked with LDM on a complete business scan, ranging from price management to working capital management.