INFLUENCE OF DATA ON DECISION MAKING IN SME’S

This study focuses on the influence of data on decision making in Small and Medium Enterprises (SMEs). Data-driven decision making has become increasingly vital for SMEs to thrive in today’s competitive business landscape. By leveraging business intelligence, data analytics, and operational insights, SMEs can enhance their strategic growth and improve operational efficiency. This paper examines the benefits, challenges, and key considerations associated with adopting a data-driven approach in SMEs. The benefits of data-driven decision making in SMEs are numerous. Through the analysis of customer data and market trends, SMEs can gain valuable insights into customer behavior and preferences, allowing them to tailor their products or services to meet customer demands effectively. This leads to improved customer satisfaction and loyalty. However, SMEs face certain challenges when implementing data-driven decision making. Limited financial and technological resources, as well as data quality issues, can pose significant hurdles. Overcoming these challenges requires SMEs to establish robust data collection processes, invest in appropriate data management systems and analytics tools, and foster a culture of data literacy within the organization.