AUTOMATION OF FINANCIAL ANALYTICS: THE IMPACT OF BI SYSTEM IMPLEMENTATION ON MANAGERIAL DECISION-MAKING

The growing volume of trading conducted by automated systems has fundamentally changed the landscape of financial markets, making algorithmic trading one of the key drivers of structural transformation. This article aims to identify the economic implications of widespread adoption of algorithmic strategies in market infrastructure and analyze the associated ethical challenges. It explores changes in liquidity, spreads, volatility, and pricing speed due to the activity of high-frequency and program-controlled trading systems. Alongside the benefits of operational efficiency and reduced transaction costs, the risks of market instability, infrastructure access asymmetry, and loss of control in times of crisis are highlighted. The issue of accountability for autonomous trading algorithms is discussed, and a critical perspective is offered on the role of regulators in developing frameworks for digital trading. The article concludes with the need to balance technological advancement with ethical principles of market functioning.