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PREDICTIVE ANALYTICS FOR ONLINE CASINO REVENUE IN THE AUSTRALIAN MARKET.

This thesis investigates the influence of economic indicators and weather conditions on online slot machine gambling habits and revenues in Australia. By reviewing the interplay of GDP, CPI, and unemployment rates, the study uncovers their impact on gambling behaviors, revealing that a healthier economy boosts gambling expenditures while financial strain reduces participation. Weather's impact was minimal, likely due to the indoor nature of gambling. Predictive models, including Multiple Linear Regression, ARIMAX, and SARIMAX, were developed and evaluated. ARIMAX and SARIMAX models proved more accurate for predicting gross gaming revenue and winning bets, capturing seasonal and external influences effectively. This research provides insights for policymakers and industry stakeholders, emphasizing the need for localized studies to better understand these dynamics and improve strategic planning in the gambling sector. Future work should focus on expanding datasets and incorporating diverse economic and weather patterns to enhance predictive accuracy and industry applicability.

Author: Jānis Želannovs

Supervisor: Nadežda Spiridovska

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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Comparative analysis of online casinos risks in Latvia

The bachelor thesis consists of 3 chapters, the aim of which is to develop a proposal to improve the operation of online casinos, based on the comparative analysis, The first chapter will help to understand theoretical aspects, factors, concepts and operating principles of online casinos.Second chapter includes selecting and comparing 3 popular online casinos in Latvia.The third chapter analyses the risks of online casino operation.

Author: Sergejs Storožuks

Supervisor: Marina Koževņikova

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Business and Management

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