Paula Horecky

Data Scientist @ HILTI

Paula has joined the data science team at Hilti AG in December 2017. Since then she with her colleagues employ analytics and machine learning technics to help business gain better insides, reveal root causes and increase performance and efficiency. Previously, she worked at Zurich Insurance in Claims Analytics team for 3 years, where she also performed a product owner role in developing reporting dashboards. She has received her PhD in economics and master’s degree in finance, banking and investment from Matej Bel University in Slovakia.

How to Estimate and Forecast Sales Utilizing Available Data Points?

In this presentation we provide an example on how to build an understanding of historic sales and predict future data points utilizing most of available past values. The main challenge was to include periods disturbed by one-time occurrences, such as currency change or restrictions due to Covid19 spread. Our solution helps business to expose the drivers of past sales of countries and better forecast sales that are both, realistic and accurate.