Enabling effective and fast decision-making with the Theta Method

REF Impact Case Study 2021
Submitted to: UoA 17 - Business and Management Studies

Submitted Title: Enabling effective and fast decision-making in organisations: forecasting with the Theta Method

Summary

Nikolopoulos’ research focuses on Predictive Analytics employing the Theta forecasting method he initially developed. His empirical research at Bangor University has led to significant efficiency savings and enhanced decision-making for multinational companies by improving forecasts. Nikolopoulos’ forecasting models have proven accuracy and superior computational speed in international competitions. Uber has applied Nikolopoulos’ Theta models worldwide since 2017 for their financial forecasts with an efficiency saving of over approximately USD750,000,000 (04-2020) per annum. BOSCH and Amazon Web Services use Theta for forecasting product demands and sales. The wider use of Nikolopoulos’ Theta Method within commerce is highlighted by over 6,500,000 downloads of the implementation of the Theta Method within the freeware

REF 2021 Case Study - Enabling effective and fast decision-making in organisations: forecasting with the Theta Method

Researchers

Professor Konstantinos Nikolopoulos