Using Data in Results-Orıented Management
Abstract. Using data in results-oriented management is a fundamental approach to increasing the efficiency and transparency of management in modern organizations. In this management model, the decision-making process is based on objective data, and data plays a strategic role in measuring, evaluating and predicting the results of activities. Data is not only used for recording activities, but also allows for a deep understanding of the organization's strengths and weaknesses, risk factors, external environmental trends and stakeholder expectations. At the same time, optimal use of resources, minimizing risks and increasing stakeholder satisfaction are directly ensured by data-based management.
The use of data in results-oriented management is based on several basic principles. These include the principles of transparency and accountability, which ensure that information is clear, accessible and understandable. The principle of evidence-based decision-making enables management based on objective indicators, not assumptions. This approach is integrated with the definition of SMART-type goals and KPIs, continuous monitoring and performance evaluation. At the same time, a cause-and-effect chain is established, establishing a logical relationship between inputs, activities, outputs, results and impact levels, which allows for reducing risks in management and clarifying strategic priorities.
Keywords: management, data, performance, monitoring, digital, Big Data, evidence, strategic